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ORCIDCoRR, May 2018
- Ashanie Gunathillake:
Maximum Likelihood Coordinate Systems for Wireless Sensor Networks: from physical coordinates to topology coordinates. - Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen:
DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming. - Shervin Roshanisefat, Harshith K. Thirumala, Kris Gaj, Houman Homayoun, Avesta Sasan:
Benchmarking the Capabilities and Limitations of SAT Solvers in Defeating Obfuscation Schemes. - Florent Becker, Diego Maldonado, Nicolas Ollinger, Guillaume Theyssier:
Universality in Freezing Cellular Automata. - Tristan Braquelaire, Marie Gasparoux, Mathieu Raffinot, Raluca Uricaru:
On improving the approximation ratio of the r-shortest common superstring problem. - Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Improved Image Captioning with Adversarial Semantic Alignment. - Aman Agarwal, Ivan Zaitsev, Thorsten Joachims:
Counterfactual Learning-to-Rank for Additive Metrics and Deep Models. - Kristina Sojakova, Patricia Johann:
A General Framework for Relational Parametricity. - Tobias Kaminski, Thomas Eiter, Katsumi Inoue:
Exploiting Answer Set Programming with External Sources for Meta-Interpretive Learning. - Maximilian Baust, Florian Ludwig, Christian Rupprecht, Matthias Kohl, Stefan Braunewell:
Understanding Regularization to Visualize Convolutional Neural Networks. - Long Cheng, Ke Tian, Danfeng Yao, Lui Sha, Raheem A. Beyah:
Checking is Believing: Event-Aware Program Anomaly Detection in Cyber-Physical Systems. - Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening:
Concolic Testing for Deep Neural Networks. - Najla Akram
, Al-Saati, Taghreed Riyadh Alreffaee:
Using Multi Expression Programming in Software Effort Estimation. - Jun He, Tao Xu:
New Methods of Studying Valley Fitness Landscapes. - Furkan Alaca, Paul C. van Oorschot:
Comparative Analysis and Framework Evaluating Web Single Sign-On Systems. - Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
Syntactic Patterns Improve Information Extraction for Medical Search. - Md Johirul Islam, Anuj Sharma, Hridesh Rajan:
A Cyberinfrastructure for BigData Transportation Engineering. - Saeed Ranjbar Alvar, Ivan V. Bajic:
MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detection. - Seokho Kang, Kyunghyun Cho:
Conditional molecular design with deep generative models. - Jeffrey Uhlmann:
A Canonical Image Set for Examining and Comparing Image Processing Algorithms. - Vineet Rajani, Deepak Garg:
Types for Information Flow Control: Labeling Granularity and Semantic Models. - Juan Arévalo, Juan Ramón Duque, Marco Creatura:
A Missing Information Loss function for implicit feedback datasets. - Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun:
CrowdHuman: A Benchmark for Detecting Human in a Crowd. - Daniel Bruder, Audrey Sedal, Ram Vasudevan, C. David Remy:
Force Generation by Parallel Combinations of Fiber-Reinforced Fluid-Driven Actuators. - Shubhra Aich, William van der Kamp, Ian Stavness:
Semantic Binary Segmentation using Convolutional Networks without Decoders. - Saba Ahmadian, Farhad Taheri, Mehrshad Lotfi, Maryam Karimi, Hossein Asadi:
Investigating Power Outage Effects on Reliability of Solid-State Drives. - Jihong Park, Mehdi Bennis:
URLLC-eMBB Slicing to Support VR Multimodal Perceptions over Wireless Cellular Systems. - Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. - Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, Xiaoyan Zhu:
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems. - Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. - Laura Dietz, John Foley:
On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model. - Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus-based Distributed Quantile Estimation in Sensor Networks. - Cyrus Omar, Ian Voysey, Ravi Chugh, Matthew A. Hammer:
Live Functional Programming with Typed Holes. - Bin Li, Xiangqi Kong, Lei Wang:
Optimal Load-Balancing for High-Density Wireless Networks with Flow-Level Dynamics. - Lucas N. Ribeiro, André L. F. de Almeida, Josef A. Nossek, João Cesar M. Mota:
Low-complexity separable beamformers for massive antenna array systems. - (Withdrawn) Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation.
- Alexandra Kolla, Ioannis Koutis, Vivek Madan, Ali Kemal Sinop:
Spectrally Robust Graph Isomorphism. - Thanh Hai Nguyen, Enrico Pontelli, Tran Cao Son:
Phylotastic: An Experiment in Creating, Manipulating, and Evolving Phylogenetic Biology Workflows Using Logic Programming. - Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. - Manoj Gupta, Aditi Singh:
Generic Single Edge Fault Tolerant Exact Distance Oracle. - Ashu Sharma, Jayanta Kumar Ghosh, Saptarshi Kolay:
Fixation Data Analysis for High Resolution Satellite Images. - Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju:
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols. - Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan, Jianye Hao:
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. - Ioannis Pachoulakis:
Realistic Multimedia Tools based on Physical Models: I. The Spectrum Analyzer and Animator (SA2). - Vladimir Braverman, Elena Grigorescu, Harry Lang, David P. Woodruff, Samson Zhou:
Nearly Optimal Distinct Elements and Heavy Hitters on Sliding Windows. - Shun Yi:
Internal node bagging: an explicit ensemble learning method in neural network training. - Gautam Kamath, Jerry Li, Vikrant Singhal, Jonathan R. Ullman:
Privately Learning High-Dimensional Distributions. - Wameedh Riyadh Abdul Adheem, Ibraheem Kasim Ibraheem:
On The Active Input Output Feedback Linearization of Single Link Flexible Joint Manipulator, An Extended State Observer Approach. - Deepak Mishra, Rajeev Ranjan, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Locate, Segment and Match: A Pipeline for Object Matching and Registration. - Ibraheem Kasim Ibraheem, Fatin Hassan Ajeil:
Multi-Objective Path Planning of an Autonomous Mobile Robot in Static and Dynamic Environments using a Hybrid PSO-MFB Optimisation Algorithm. - Qurrat-Ul-Ain Nadeem, Abla Kammoun, Mohamed-Slim Alouini:
Elevation Beamforming with Full Dimension MIMO Architectures in 5G Systems: A Tutorial. - Jordi Pons, Xavier Serra:
Randomly weighted CNNs for (music) audio classification. - Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch with Shortcut Cycle Consistency. - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Nugget Proposal Networks for Chinese Event Detection. - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Adaptive Scaling for Sparse Detection in Information Extraction. - Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Conditional Image-to-Image Translation. - Reut Apel, Elad Yom-Tov, Moshe Tennenholtz:
Characterizing Efficient Referrals in Social Networks. - Pankaj Gupta, Benjamin Roth, Hinrich Schütze:
Joint Bootstrapping Machines for High Confidence Relation Extraction. - Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Thomas Nedelec, Vianney Perchet:
Explicit shading strategies for repeated truthful auctions. - Ibraheem Kasim Ibraheem:
On The Design of a Novel Finite-Time Nonlinear Extended State Observer for Class of Nonlinear Systems with Mismatch Disturbances and Uncertainties. - Hui Feng, Shanshan Wang, Shuzhi Sam Ge:
Object Activity Scene Description, Construction and Recognition. - Yuriy Anisimov, Didier Stricker:
Fast and Efficient Depth Map Estimation from Light Fields. - Anca Dumitrache, Lora Aroyo, Chris Welty:
Capturing Ambiguity in Crowdsourcing Frame Disambiguation. - Wei Huang, Tao Xu, Jun He, Kangshun Li:
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization. - Dongyan Zhou, Songjie Niu, Shimin Chen:
Efficient Graph Computation for Node2Vec. - Daniel Hershcovich, Omri Abend, Ari Rappoport:
Multitask Parsing Across Semantic Representations. - Rasmus Ejlers Møgelberg, Marco Paviotti:
Denotational semantics of recursive types in synthetic guarded domain theory. - Andreas Dedner, Birane Kane, Robert Klöfkorn, Martin Nolte:
Python Framework for HP Adaptive Discontinuous Galerkin Method for Two Phase Flow in Porous Media. - Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. - Alexander Maletzky, Fabian Immler:
Gröbner Bases of Modules and Faugère's F4 Algorithm in Isabelle/HOL. - Takumi Ichimura, Kousuke Tanabe, Issei Tachibana:
Tourist Navigation in Android Smartphone by using Emotion Generating Calculations and Mental State Transition Networks. - Ning Ma, Alexey Volkov, Aleksandr Livshits, Pawel Pietrusinski, Houdong Hu, Mark Bolin:
An Universal Image Attractiveness Ranking Framework. - Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu:
On the Limitation of MagNet Defense against L1-based Adversarial Examples. - (Withdrawn) Head Mounted Pupil Tracking Using Convolutional Neural Network.
- Iman Sajedian, Jeonghyun Kim, Junsuk Rho:
Predicting resonant properties of plasmonic structures by deep learning. - Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. - Josiah Wang, Pranava Swaroop Madhyastha, Lucia Specia:
Object Counts! Bringing Explicit Detections Back into Image Captioning. - Ravi Lanka:
PURE: Scalable Phase Unwrapping with Spatial Redundant Arcs. - Kyongsik Yun, Thomas Lu, Edward Chow:
Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks. - Fariborz Taherkhani, Nasser M. Nasrabadi, Jeremy M. Dawson:
A Deep Face Identification Network Enhanced by Facial Attributes Prediction. - Mohammad Sadegh Ebrahimi, Hossein Karkeh Abadi:
Study of Residual Networks for Image Recognition. - Ivona Tautkute, Tomasz Trzcinski, Adam Bielski:
I Know How You Feel: Emotion Recognition with Facial Landmarks. - Ying Ma, José C. Príncipe:
A Taxonomy for Neural Memory Networks. - Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. - Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. - Seyed Yahya Nikouei, Yu Chen, Sejun Song, Ronghua Xu, Baek-Young Choi, Timothy R. Faughnan:
Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN. - Seyed Yahya Nikouei, Yu Chen, Sejun Song, Ronghua Xu, Baek-Young Choi, Timothy R. Faughnan:
Intelligent Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN. - Thanh Nguyen, Yujia Xue, Yunzhe Li, Lei Tian, George Nehmetallah:
Convolutional neural network for Fourier ptychography video reconstruction: learning temporal dynamics from spatial ensembles. - Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies:
Hyperparameter Optimization for Effort Estimation. - Thibault de Valroger:
Towards Practical Implementation of Deep Random Secrecy. - Hongxin Wang, Jigen Peng, Shigang Yue:
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds. - Yuqi Cui, Xiao Zhang, Yang Wang, Chenfeng Guo, Dongrui Wu:
OMG - Emotion Challenge Solution. - Qufei Chen, Marina Sokolova:
Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries. - Debasmit Das, C. S. George Lee:
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation. - Jill-Jênn Vie:
Deep Factorization Machines for Knowledge Tracing. - Markus A. Degel, Nassir Navab, Shadi Albarqouni:
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. - Mohsen Bahrami, Yasin Findik, Burçin Bozkaya, Selim Balcisoy:
Twitter Reveals: Using Twitter Analytics to Predict Public Protests. - Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, Charles Young:
Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications. - Baiqiang Xia:
Which Facial Expressions Can Reveal Your Gender? A Study With 3D Faces. - Jayant Gupchup, Yasaman Hosseinkashi, Martin Ellis, Sam Johnson, Ross Cutler:
Analysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications. - Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash:
Boosting Self-Supervised Learning via Knowledge Transfer. - Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire:
Use of NoSQL database and visualization techniques to analyze massive scholarly article data from journals. - Milad Mahdian, N. Prakash, Muriel Médard, Edmund M. Yeh:
Updating Content in Cache-Aided Coded Multicast. - Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner:
Computing Environments for Reproducibility: Capturing the "Whole Tale". - Rohan Jacob-Rao, Brigitte Pientka, David Thibodeau:
Index-Stratified Types (Extended Version). - Jeffrey Pawlick, Juntao Chen, Quanyan Zhu:
iSTRICT: An Interdependent Strategic Trust Mechanism for the Cloud-Enabled Internet of Controlled Things. - Ziqing Feng, Qijun Zhao:
Robust Face Recognition with Deeply Normalized Depth Images. - Qi Dong, Yu Chen, Xiaohua Li, Kai Zeng:
Explore Recurrent Neural Network for PUE Attack Detection in Practical CRN Models. - Duc Le:
Real-time Air Pollution prediction model based on Spatiotemporal Big data. - Hai Zhuge:
The Complex Link. - Oleksandr V. Palagin, Mykola Petrenko, Kyrylo Malakhov:
Information technology and integrated tools for support of smart systems research design. - Yohsuke Murase, Takeshi Uchitane, Nobuyasu Ito:
An open-source job management framework for parameter-space exploration: OACIS. - Muztaba Fuad, Monika Akbar, Lynn Zubov:
Active Learning for Out-of-class Activities by Using Interactive Mobile Apps. - Cathal Doyle, Yevgeniya Li, Markus Luczak-Rösch, Dayle Anderson, Brigitte Glasson, Matthew Boucher, Carol Brieseman, Dianne Christenson, Melissa Coton:
What is online citizen science anyway? An educational perspective. - Myounggyu Won, Aawesh Shrestha, Yongsoon Eun:
Enabling WiFi P2P-Based Pedestrian Safety App. - Pierre-Michel Riccio:
Une approche pour mieux appr{é}hender l'alt{é}rit{é} en SIC. - Steven Coats:
Skin Tone Emoji and Sentiment on Twitter. - Geoffrey Fairchild, Byron Tasseff, Hari Khalsa, Nicholas Generous, Ashlynn R. Daughton, Nileena Velappan, Reid Priedhorsky, Alina Deshpande:
Epidemiological data challenges: planning for a more robust future through data standards. - Mohammed Abufouda:
Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction. - Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT. - Ignacio Espinoza, Marcelo Mendoza, Pablo Ortega, Daniel Rivera, Fernanda Weiss:
Viscovery: Trend Tracking in Opinion Forums based on Dynamic Topic Models. - Md. Salman Ahmed, Mohammad Asadul Hoque, Asad J. Khattak:
Intersection Approach Advisory Through Vehicle-to-Infrastructure Communication Using Signal Phase and Timing Information at Signalized Intersection. - Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada:
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering. - Haichao Zhang, Haonan Yu, Wei Xu:
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. - Mehmet Sükrü Kuran, Ahmet Erdem Tozoglu, Cinzia Tavernari:
History-Themed Games in History Education: Experiences on a Blended World History Course. - Shini Renjith:
Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach. - Benjamin Sherman, Luke Sciarappa, Adam Chlipala, Michael Carbin:
Computable decision making on the reals and other spaces via partiality and nondeterminism. - Soumya Chakrabarti Kambhampati:
"I ain't tellin' white folks nuthin": A quantitative exploration of the race-related problem of candour in the WPA slave narratives. - Muzammil Behzad:
Image Denoising via Collaborative Dual-Domain Patch Filtering. - Jeremiah W. Johnson:
Adapting Mask-RCNN for Automatic Nucleus Segmentation. - Xinyu Guan, Jessica Lee, Peter Wu, Yue Wu:
Machine Learning for Exam Triage. - Wameedh Riyadh Abdul Adeem, Ibraheem Kasim Ibraheem:
Novel Active Disturbance Rejection Control Based on Nested Linear Extended State Observers. - Cheng Peng, Volkan Isler:
Adaptive View Planning for Aerial 3D Reconstruction of Complex Scenes. - Md. Salman Ahmed, Mohammad Asadul Hoque, Jackeline Rios-Torres, Asad J. Khattak:
A Cooperative Freeway Merge Assistance System using Connected Vehicles. - William Severa, Rich Lehoucq, Ojas Parekh, James B. Aimone:
Spiking Neural Algorithms for Markov Process Random Walk. - Raphaëlle Crubillé:
Probabilistic Stable Functions on Discrete Cones are Power Series (long version). - Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu:
Securing Social Media User Data - An Adversarial Approach. - Yu Li, Hu Wang, Kangjia Mo, Tao Zeng:
Reconstruction of Simulation-Based Physical Field with Limited Samples by ReConNN. - Mudasir Ahmad Wani, Suraiya Jabin:
Mutual Clustering Coefficient-based Suspicious-link Detection approach for Online Social Networks. - Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang:
Weakly Supervised Attention Learning for Textual Phrases Grounding. - Marilyn A. Walker, Albry Smither, Shereen Oraby, Vrindavan Harrison, Hadar Shemtov:
Exploring Conversational Language Generation for Rich Content about Hotels. - Brian Teixeira, Vivek K. Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu:
Generating Synthetic X-ray Images of a Person from the Surface Geometry. - Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Stefano Markidis, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Dirk Pleiter, Shaun De Witt:
SAGE: Percipient Storage for Exascale Data Centric Computing. - Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Decision Tree Design for Classification in Crowdsourcing Systems. - Ke Coby Wang, Michael K. Reiter:
How to end password reuse on the web. - Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc:
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. - Yang Lu, Minghui Zhu:
Privacy preserving distributed optimization using homomorphic encryption. - Vishnu Naresh Boddeti:
Secure Face Matching Using Fully Homomorphic Encryption. - Allan Borodin, Christodoulos Karavasilis, Denis Pankratov:
Greedy Bipartite Matching in Random Type Poisson Arrival Model. - Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee:
Convolutional-Recurrent Neural Networks for Speech Enhancement. - Adam Auten, Tanishq Dubey, Rohan Mathur:
Dynamically Improving Branch Prediction Accuracy Between Contexts. - Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang:
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising. - Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Structured Analysis Dictionary Learning for Image Classification. - Zhengming Zhang, Meng Hua, Chunguo Li, Yongming Huang, Luxi Yang:
Placement Delivery Array Design via Attention-Based Deep Neural Network. - Jing Wang, Junyi Sun, Ze Peng, Pei Lv, Bing Zhou, Mingliang Xu:
Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation. - Ali Jadbabaie, Alex Olshevsky, Milad Siami:
Deterministic and Randomized Actuator Scheduling With Guaranteed Performance Bounds. - Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu:
Towards Interpretable Face Recognition. - Jérémie O. Lumbroso:
How Flajolet Processed Streams with Coin Flips. - Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. - Lijun Zhang, Zhi-Hua Zhou:
𝓁1-regression with Heavy-tailed Distributions. - Tianchi Huang, Rui-Xiao Zhang, Chao Zhou, Lifeng Sun:
Delay-Constrained Rate Control for Real-Time Video Streaming with Bounded Neural Network. - Carlos Molina-Jiménez, Ellis Solaiman, Ioannis Sfyrakis, Irene C. L. Ng, Jon Crowcroft:
On and Off-Blockchain Enforcement Of Smart Contracts. - Yuren Zhou, Billy Pik Lik Lau, Chau Yuen, Bige Tunçer, Erik Wilhelm:
Understand Urban Human Mobility through Crowdsensed Data. - Ming Dong, Benzhe Li, Alex Nassif:
Residential Transformer Overloading Risk Assessment Using Clustering Analysis. - Biao Zhang, Deyi Xiong, Jinsong Su:
Accelerating Neural Transformer via an Average Attention Network. - Luis C. García-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer F. Ahmad, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia. - Joohyung Lee, Yi Wang:
A Probabilistic Extension of Action Language BC+. - Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler:
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues. - Joohyung Lee, Zhun Yang:
Translating LPOD and CR-Prolog2 into Standard Answer Set Programs. - Xuan Shi, Mengyao Zhu, Xingjian Du:
End-to-End Residual CNN with L-GM Loss Speaker Verification System. - Lukas Fleischer:
Efficient Membership Testing for Pseudovarieties of Finite Semigroups. - Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso, Marco Cristani:
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses. - Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee:
Convolutional Sequence to Sequence Model for Human Dynamics. - Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. - Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro, David Pearce:
Functional ASP with Intensional Sets: Application to Gelfond-Zhang Aggregates. - Cristian Bodnar:
Text to Image Synthesis Using Generative Adversarial Networks. - Evangelos Psomakelis, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Theodora A. Varvarigou:
BUDAMAF: Data Management in Cloud Federations. - Mohsen Zareian Jahromi, Adel Zahedi, Jesper Jensen, Jan Østergaard:
Information Loss in the Human Auditory System. - Krishna Chaitanya Kosaraju, Shravan Mohan, Ramkrishna Pasumarthy:
On the primal-dual dynamics of Support Vector Machines. - Bijay Neupane, Torben Bach Pedersen, Bo Thiesson:
Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version. - Onno Kampman, Elham J. Barezi, Dario Bertero, Pascale Fung:
Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction. - Shanuja Sasi, B. Sundar Rajan:
On the Structure of Interlinked Cycle Structures with Interlocked Outer Cycles. - Linqing Gui, Feifei Bao, Xiaobo Zhou, Chunhua Yu, Feng Shu, Jun Li:
Energy-Efficient Wireless Powered Secure Transmission with Cooperative Jamming for Public Transportation. - Krishna Chaitanya Kosaraju, Venkatesh Chinde, Ramkrishna Pasumarthy, Navdeep M. Singh:
Differential passivity like properties for a class of nonlinear systems. - Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. - Deepak Mishra, George C. Alexandropoulos:
Transmit Precoding and Receive Power Splitting for Harvested Power Maximization in MIMO SWIPT Systems. - Elia Moscoso Thompson, Silvia Biasotti:
Description and Retrieval of Geometric Patterns on Surface Meshes using an edge-based LBP approach. - Duygu Sarikaya, Khurshid A. Guru, Jason J. Corso:
Joint Surgical Gesture and Task Classification with Multi-Task and Multimodal Learning. - Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi:
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. - Francesco Barbieri, Luís Marujo, Pradeep Karuturi, William Brendel, Horacio Saggion:
Exploring Emoji Usage and Prediction Through a Temporal Variation Lens. - Krishna Chaitanya Kosaraju:
Alternative passive maps in the Brayton-Moser framework: Implications on control and optimization. - Alexander J. Gallo, Mustafa S. Turan, Francesca Boem, Giancarlo Ferrari-Trecate, Thomas Parisini:
Distributed watermarking for secure control of microgrids under replay attacks. - Hengyi Cai, Xingguang Ji, Yonghao Song, Yan Jin, Yang Zhang, Mairgup Mansur, Xiaofang Zhao:
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction. - Manish Rao, J. Harshan:
Group Secret-Key Generation using Algebraic Rings in Three-User Wireless Networks. - Yuan Xu, Zhiyuan Yan, Sa Wang, Cheng Yang, Qingsai Xiao, Yungang Bao:
Avalon: Building an Operating System for Robotcenter. - Javier Esparza, Jan Kretínský, Salomon Sickert:
One Theorem to Rule Them All: A Unified Translation of LTL into ω-Automata. - Abhishta, Reinoud Joosten, Lambert J. M. Nieuwenhuis:
Analysing The Impact Of A DDoS Attack Announcement On Victim Stock Prices. - Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su, Hong Zheng:
From the Periphery to the Center: Information Brokerage in an Evolving Network. - Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang:
TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition. - Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. - Peter Robinson, Christian Scheideler, Alexander Setzer:
Breaking the Ω̃(√n) Barrier: Fast Consensus under a Late Adversary. - Ghurumuruhan Ganesan:
Construction and redundancy of codes for correcting deletable errors. - Doreen Jirak, Stefan Wermter:
Potentials and Limitations of Deep Neural Networks for Cognitive Robots. - Maren Awiszus, Stella Graßhof, Felix Kuhnke, Jörn Ostermann:
Unsupervised Features for Facial Expression Intensity Estimation over Time. - Maren Awiszus, Bodo Rosenhahn:
Markov Chain Neural Networks. - Jack Hall:
Cognition in Dynamical Systems, Second Edition. - Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu:
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. - Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. - Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh:
ECG Heartbeat Classification: A Deep Transferable Representation. - Anahita Namvar, Mohammad Siami, Fethi A. Rabhi, Mohsen Naderpour:
Credit risk prediction in an imbalanced social lending environment. - Zheng Yang, Hang Lei:
Formal Process Virtual Machine for Smart Contracts Verification. - Fengyou Sun, Yuming Jiang:
A Hidden Resource in Wireless Channel Capacity: Dependence Control in Action. - Bin Jiang:
Spatial Heterogeneity, Scale, Data Character, and Sustainable Transport in the Big Data Era. - Andre Droschinsky, Nils M. Kriege, Petra Mutzel:
Largest Weight Common Subtree Embeddings with Distance Penalties. - Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze:
Predicting User Knowledge Gain in Informational Search Sessions. - Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen:
A Federated Capability-based Access Control Mechanism for Internet of Things (IoTs). - Siva D. Muruganathan, Xingqin Lin, Helka-Liina Maattanen, Zhenhua Zou, Wuri A. Hapsari, Shinpei Yasukawa:
An Overview of 3GPP Release-15 Study on Enhanced LTE Support for Connected Drones. - Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Learnable PINs: Cross-Modal Embeddings for Person Identity. - Giovanni Bacci, Patricia Bouyer, Uli Fahrenberg, Kim G. Larsen, Nicolas Markey, Pierre-Alain Reynier:
Optimal and Robust Controller Synthesis: using Energy Timed Automata with Uncertainty. - Dimiter Dobrev:
How does the AI understand what's going on. - Nicolas Gast, Mohammed Khatiri, Denis Trystram, Frédéric Wagner:
A new analysis of Work Stealing with latency. - Luérbio Faria, Sulamita Klein, Ignasi Sau, Uéverton S. Souza, Rubens Sucupira:
Maximum cuts in edge-colored graphs. - Doriane Perard, Jérôme Lacan, Yann Bachy, Jonathan Detchart:
Erasure code-based low storage blockchain node. - Hadrien Van Lierde, Tommy W. S. Chow, Jean-Charles Delvenne:
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs. - Yann Ollivier:
Approximate Temporal Difference Learning is a Gradient Descent for Reversible Policies. - Kamal Z. Zamli, Fakhrud Din, Bestoun S. Ahmed, Miroslav Bures:
A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem. - Robert Litschko, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic:
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only. - Hazim Shakhatreh, Ahmad Sawalmeh, Ala I. Al-Fuqaha, Zuochao Dou, Eyad K. Almaita, Issa Khalil, Noor Shamsiah Othman, Abdallah Khreishah, Mohsen Guizani:
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges. - Michalis Ramp, Evangelos Papadopoulos:
On executing aggressive quadrotor attitude tracking maneuvers under actuator constraints. - Juan Pablo Bello, Cláudio T. Silva, Oded Nov, R. Luke DuBois, Anish Arora, Justin Salamon, Charles Mydlarz, Harish Doraiswamy:
SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution. - Andrew Warrington, Neil Dhir:
Generalising Cost-Optimal Particle Filtering. - Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord:
Images & Recipes: Retrieval in the cooking context. - Fabrizia Corona, Rocco M. Chiuri, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. - Benjamin Weggenmann, Florian Kerschbaum:
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining. - Nadav Rotem, Jordan Fix, Saleem Abdulrasool, Summer Deng, Roman Dzhabarov, James Hegeman, Roman Levenstein, Bert Maher, Nadathur Satish, Jakob Olesen, Jongsoo Park, Artem Rakhov, Misha Smelyanskiy:
Glow: Graph Lowering Compiler Techniques for Neural Networks. - Sergey Levine:
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review. - Elham Tabassi, Tarang Chugh, Debayan Deb, Anil K. Jain:
Altered Fingerprints: Detection and Localization. - Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Fast Directional Self-Attention Mechanism. - Sefi Erlich, Noam Hazon, Sarit Kraus:
Negotiation Strategies for Agents with Ordinal Preferences. - Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe:
GraphIt - A High-Performance DSL for Graph Analytics. - Erol Cromwell, Donna Flynn:
Lidar Cloud Detection with Fully Convolutional Networks. - Xiaoxiao Du, Alina Zare:
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty. - Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. - Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh:
Differential Geometric Approach to Trajectory Planning: Cooperative Transport by a Team of Autonomous Marine Vehicles. - Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam:
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale. - Yaman Sharaf-Dabbagh, Walid Saad:
Authentication of Everything in the Internet of Things: Learning and Environmental Effects. - Ibraheem Kasim Ibraheem, Alyaa Abdul-Hussain Al-Hussainy:
A Multi QoS Genetic-Based Adaptive Routing In Wireless Mesh Networks With Pareto Solutions. - Saba Ahmadian, Onur Mutlu, Hossein Asadi:
ECI-Cache: A High-Endurance and Cost-Efficient I/O Caching Scheme for Virtualized Platforms. - Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis:
Exploring Users' Perception of Collaborative Explanation Styles. - Tivadar Danka, Péter Horváth:
modAL: A modular active learning framework for Python. - Safa Cicek, Alhussein Fawzi, Stefano Soatto:
SaaS: Speed as a Supervisor for Semi-supervised Learning. - Aidin Ferdowsi, Ursula Challita, Walid Saad, Narayan B. Mandayam:
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems. - Laurynas Karazija, Petar Velickovic, Pietro Liò:
Automatic Inference of Cross-modal Connection Topologies for X-CNNs. - Vitor R. G. Silva, Alex F. A. Furtunato, Kyriakos Georgiou, Kerstin Eder, Samuel Xavier de Souza:
Energy-Optimal Configurations for Single-Node HPC Applications. - Kristina Gligoric, Manisha Ajmani, Dejan Vukobratovic, Sinan Sinanovic:
Visible Light Communications Based Indoor Positioning via Compressed Sensing. - Sheik Hoque, Andriy V. Miranskyy:
Online and Offline Analysis of Streaming Data. - Minghua Xia, Sonia Aïssa:
Unified Analytical Volume Distribution of Poisson-Delaunay Simplex and its Application to Coordinated Multi-Point Transmission. - Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. - Sheik Hoque, Andriy V. Miranskyy:
Architecture for Analysis of Streaming Data. - Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Qun Liu, Supratik Mukhopadhyay:
Unsupervised Learning using Pretrained CNN and Associative Memory Bank. - Roee Aharoni, Yoav Goldberg:
Split and Rephrase: Better Evaluation and a Stronger Baseline. - Mandar N. Kulkarni, Amitava Ghosh, Jeffrey G. Andrews:
How Many Hops Can Self-Backhauled Millimeter Wave Cellular Networks Support? - Timothy D. Goodrich, Eric Horton, Blair D. Sullivan:
Practical Graph Bipartization with Applications in Near-Term Quantum Computing. - Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. - Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, Hubert Cecotti, Girijesh Prasad:
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface. - Daniel Kang, Peter Bailis, Matei Zaharia:
BlazeIt: Fast Exploratory Video Queries using Neural Networks. - Sen Jia:
EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction. - Baibhab Chatterjee, Debayan Das, Shreyas Sen:
RF-PUF: IoT Security Enhancement through Authentication of Wireless Nodes using In-situ Machine Learning. - Ayush Jaiswal, Dong Guo, Cauligi S. Raghavendra, Paul M. Thompson:
Large-Scale Unsupervised Deep Representation Learning for Brain Structure. - Nastooh Taheri Javan, Masoud Sabaei, Mehdi Dehghan:
To overhear or not to overhear: a dilemma between network coding gain and energy consumption in multi-hop wireless networks. - Nikita Kitaev, Dan Klein:
Constituency Parsing with a Self-Attentive Encoder. - Scott Werwath:
Automatic Coding for Neonatal Jaundice From Free Text Data Using Ensemble Methods. - Vedhus Hoskere, Yasutaka Narazaki, Tu A. Hoang, Billie F. Spencer:
Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks. - Ziqi Zheng, Chenjie Cao, Xingwei Chen, Guoqiang Xu:
Multimodal Emotion Recognition for One-Minute-Gradual Emotion Challenge. - Wentuo Fang, Mohsen Zamani, Zhiyong Chen:
Secure and Privacy Preserving Consensus for Second-order Systems Based on Paillier Encryption. - Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni:
What you can cram into a single vector: Probing sentence embeddings for linguistic properties. - Amit Levi, Erik Waingarten:
Lower Bounds for Tolerant Junta and Unateness Testing via Rejection Sampling of Graphs. - Gilad Francis, Lionel Ott, Fabio Ramos:
Functional Path Optimisation for Exploration in Continuous Occupancy Maps. - Qi Zhang, Petr Novotný, Salman Baset, Donna N. Dillenberger, Artem Barger, Yacov Manevich:
LedgerGuard: Improving Blockchain Ledger Dependability. - Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Y. Halevy, George A. Mihaila, Hidekazu Oiwa, Wang-Chiew Tan:
Scalable Semantic Querying of Text. - Yixin Du, Xin Li:
Perceptually Optimized Generative Adversarial Network for Single Image Dehazing. - Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. - Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. - Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren:
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. - Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung:
Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models. - Yongbo Xu, Meng Wang, Pei Lv, Ze Peng, Junyi Sun, Shi-Mei Su, Bing Zhou, Mingliang Xu:
USAR: an interactive user-specific aesthetic ranking framework for images. - Jason L. Deglint, Chao Jin, Angela Chao, Alexander Wong:
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features. - Tom Everitt, Gary Lea, Marcus Hutter:
AGI Safety Literature Review. - Zhe Du, Necmiye Ozay, Laura Balzano:
A Robust Algorithm for Online Switched System Identification. - Nishant Nikhil, Muktabh Mayank Srivastava:
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection. - Chung Chan, Manuj Mukherjee, Navin Kashyap, Qiaoqiao Zhou:
Upper Bounds via Lamination on the Constrained Secrecy Capacity of Hypergraphical Sources. - Mohammad Abu-Matar, John Davies:
Data Driven Reference Architecture for Smart City Ecosystems. - Hyojin Park, Young Joon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. - Hojung Lee, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. - Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek:
Does Journaling Encourage Healthier Choices? Analyzing Healthy Eating Behaviors of Food Journalers. - Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek, Tianjiao Yun:
Eat & Tell: A Randomized Trial of Random-Loss Incentive to Increase Dietary Self-Tracking Compliance. - Rainer Niedermayr, Tobias Röhm, Stefan Wagner:
Poster: Identification of Methods with Low Fault Risk. - Ningyuan Chen, Guillermo Gallego:
Nonparametric Learning and Optimization with Covariates. - Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir:
Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient? - Rui Wang, Jeff Clune, Kenneth O. Stanley:
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution. - George De Ath, Richard M. Everson:
Visual Object Tracking: The Initialisation Problem. - Jan-Philipp Steghöfer, Håkan Burden, Regina Hebig, Gül Çalikli, Robert Feldt, Imed Hammouda, Jennifer Horkoff, Eric Knauss, Grischa Liebel:
Involving External Stakeholders in Project Courses. - Guobao Xiao, Hanzi Wang, Yan Yan, David Suter:
Superpixel-guided Two-view Deterministic Geometric Model Fitting. - Qun Liu, Suman Kumar, Vijay Kumar Mago:
SafeRNet: Safe Transportation Routing in the era of Internet of Vehicles and Mobile Crowd Sensing. - Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin, Wei Chu:
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection. - Jonas Sorgalla, Florian Rademacher, Sabine Sachweh, Albert Zündorf:
On Collaborative Model-driven Development of Microservices. - Venkatesh-Prasad Ranganath, Daniel Andresen:
Why do Users Kill HPC Jobs? - Linjiong Zhu, Wenfu Wang, Weijie Yang, Zhijie Pan, An Chen:
Visual Path Tracking Control for Park Scene. - Timothy Libert:
An Automated Approach to Auditing Disclosure of Third-Party Data Collection in Website Privacy Policies. - Jorge Beltrán, Carlos Guindel, Francisco Miguel Moreno, Daniel Cruzado, Fernando García, Arturo de la Escalera:
BirdNet: a 3D Object Detection Framework from LiDAR information. - Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang:
Multi-Context Label Embedding. - Dominique Fourer, Geoffroy Peeters:
Single-Channel Blind Source Separation for Singing Voice Detection: A Comparative Study. - Moritz von Looz, Charilaos Tzovas, Henning Meyerhenke:
Balanced k-means for Parallel Geometric Partitioning. - Austin R. Benson, Jon M. Kleinberg:
Found Graph Data and Planted Vertex Covers. - Marius Lindauer, Jan N. van Rijn, Lars Kotthoff:
The Algorithm Selection Competition Series 2015-17. - Dinesh Raghu, Nikhil Gupta, Mausam:
Hierarchical Pointer Memory Network for Task Oriented Dialogue. - Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni:
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service. - Hui-Ming Wang, Yan Zhang, Derrick Wing Kwan Ng, Moon Ho Lee:
Secure Routing with Power Optimization for Ad-hoc Networks. - Esteban Pardo, José Mário T. Morgado, Norberto Malpica:
Semantic segmentation of mFISH images using convolutional networks. - Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt:
Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation. - Andreas Triantafyllopoulos, Hesam Sagha, Florian Eyben, Björn W. Schuller:
audEERING's approach to the One-Minute-Gradual Emotion Challenge. - Miroslav Bures, Tomás Cerný, Bestoun S. Ahmed:
Internet of Things: Current Challenges in the Quality Assurance and Testing Methods. - Wen Liu, Kai-Kit Wong, Shi Jin, Xiaohu You:
A Data-Aided Channel Estimation Scheme for Decoupled Systems in Heterogeneous Networks. - Carolin Lawrence, Stefan Riezler:
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. - Siyang Song, Shuimei Zhang, Björn W. Schuller, Linlin Shen, Michel F. Valstar:
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. - Anton Andreychuk, Konstantin S. Yakovlev:
Two Techniques That Enhance the Performance of Multi-robot Prioritized Path Planning. - Diyah Puspitaningrum:
cSELENE: Privacy Preserving Query Retrieval System on Heterogeneous Cloud Data. - Zied Bouraoui, Steven Schockaert:
Learning Conceptual Space Representations of Interrelated Concepts. - Gaëtan Caillaut, Guillaume Cleuziou:
Learning Pretopological Spaces to Model Complex Propagation Phenomena: A Multiple Instance Learning Approach Based on a Logical Modeling. - Marcelle von Wendland:
Smart contracts that are smart and can function as legal contracts - A Review of Semantic Blockchain and Distributed Ledger Technologies. - Ni Zhuang, Yan Yan, Si Chen, Hanzi Wang, Chunhua Shen:
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification. - Alireza Vahid:
On the Degrees-of-Freedom of Two-Unicast Wireless Networks with Delayed CSIT. - Chenguang Lu:
Semantic Channel and Shannon's Channel Mutually Match for Multi-Label Classification. - Kevin K. Chang, Donghyuk Lee, Zeshan Chishti, Alaa R. Alameldeen, Chris Wilkerson, Yoongu Kim, Onur Mutlu:
Reducing DRAM Refresh Overheads with Refresh-Access Parallelism. - Ni Zhuang, Yan Yan, Si Chen, Hanzi Wang:
Multi-task Learning of Cascaded CNN for Facial Attribute Classification. - Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy against Statistical Matching: Inter-User Correlation. - Richard Mann, William Mann:
Generation of Infra sound to replicate a wind turbine. - Viktor Bindewald, Felix Hommelsheim, Moritz Mühlenthaler, Oliver Schaudt:
How to Secure Matchings Against Edge Failures. - Sihai Guan, Zhi Li:
Noise constrained least mean absolute third algorithm. - Sihai Guan, Zhi Li:
Convex Combination of Overlap-Save Frequency-Domain Adaptive Filters. - Thomas Bläsius, Tobias Friedrich, Kitty Meeks, Martin Schirneck:
On the Enumeration of Minimal Hitting Sets in Lexicographical Order. - Krishnapriya A. M, Meghana Nasre, Prajakta Nimbhorkar, Amit Rawat:
How good are Popular Matchings? - Simon Collet, Amos Korman:
Intense Competition can Drive Selfish Explorers to Optimize Coverage. - Li Zhang:
Choice revision on belief bases. - Tobias Koch, Lukas Liebel, Friedrich Fraundorfer, Marco Körner:
Evaluation of CNN-based Single-Image Depth Estimation Methods. - Apostolos Avranas, Marios Kountouris, Philippe Ciblat:
Energy-Latency Tradeoff in Ultra-Reliable Low-Latency Communication with Retransmissions. - David Santana, Shan Suthaharan, Somya D. Mohanty:
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks. - Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. - Thaís Mombach, Marco Túlio Valente, Cuiting Chen, Magiel Bruntink, Gustavo Pinto:
Open Source Development Around the World: A Comparative Study. - Shuai Wang, Zili Huang, Yanmin Qian, Kai Yu:
Deep Discriminant Analysis for i-vector Based Robust Speaker Recognition. - Yangfan Hu, Huajin Tang, Yueming Wang, Gang Pan:
Spiking Deep Residual Network. - Kedar Shriram Tatwawadi, Jiantao Jiao, Tsachy Weissman:
Minimax redundancy for Markov chains with large state space. - Bin Liu, Shuai Nie, Yaping Zhang, Dengfeng Ke, Shan Liang, Wenju Liu:
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training. - Titus Cieslewski, Davide Scaramuzza:
SIPS: Unsupervised Succinct Interest Points. - Simon Gottschalk, Elena Demidova:
EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph. - Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. - Philipp M. Maier, Sina Keller:
Machine learning regression on hyperspectral data to estimate multiple water parameters. - Gang Yang, Dongdong Yuan, Ying-Chang Liang:
Optimal Resource Allocation in Full-Duplex Ambient Backscatter Communication Networks for Green IoT. - Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson:
Open Loop Execution of Tree-Search Algorithms. - Grigoriy Sterling, Andrey Belyaev, Maxim Ryabov:
Framewise approach in multimodal emotion recognition in OMG challenge. - Baibhab Chatterjee, Debayan Das, Shovan Maity, Shreyas Sen:
RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning. - Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden, Eugeni L. Doubrovski:
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling. - Yang Liu:
Research on the Brain-inspired Cross-media Neural Cognitive Computing Framework. - Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Boosting Domain Adaptation by Discovering Latent Domains. - Rens W. van der Heijden, Henning Kopp, Frank Kargl:
Multi-Source Fusion Operations in Subjective Logic. - M. S. Joshaghani, S. H. S. Joodat, K. B. Nakshatrala:
A stabilized mixed discontinuous Galerkin formulation for double porosity/permeability model. - Robert Robinson:
Prevalence of web trackers on hospital websites in Illinois. - David Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks:
Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals. - Andre Wibisono, Varun S. Jog:
Convexity of mutual information along the Ornstein-Uhlenbeck flow. - Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca:
On the Metastability of Quadratic Majority Dynamics on Clustered Graphs and its Biological Implications. - David Blackman, Sebastiano Vigna:
Scrambled Linear Pseudorandom Number Generators. - Pedro M. Ferreira, Diogo Pernes, Kelwin Fernandes, Ana Rebelo, Jaime S. Cardoso:
Dimensional emotion recognition using visual and textual cues. - Eduar Castrillo, Elizabeth León, Jonatan Gómez:
Dynamic Structural Similarity on Graphs. - Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, René Gislum:
Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass. - Mandar Kulkarni, Aria Abubakar:
Siamese networks for generating adversarial examples. - Mohammad Shakirul Islam, Ferdouse Ahmed Foysal, Nafis Neehal:
InceptB: A CNN Based Classification Approach for Recognizing Traditional Bengali Games. - Noah Weber, Leena Shekhar, Niranjan Balasubramanian:
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models. - Ahmed Arafa, Wonjae Shin, Mojtaba Vaezi, H. Vincent Poor:
Securing Downlink Non-Orthogonal Multiple Access Systems by Trusted Relays. - Dimitrios Kollias, Stefanos Zafeiriou:
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild. - Mário S. Alvim, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Anna Pazii:
Metric-based local differential privacy for statistical applications. - Archit Sharma, Jasper L, Eric Zhang:
TrueChain: Highly Performant Decentralized Public Ledger. - Denner S. Vieira, Sergio Picoli, Renio S. Mendes:
Robustness of sentence length measures in written texts. - Swastik Kopparty, Noga Ron-Zewi, Shubhangi Saraf, Mary Wootters:
Improved decoding of Folded Reed-Solomon and Multiplicity Codes. - Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
SURREAL: SUbgraph Robust REpresentAtion Learning. - Chun-Wei Chiang, Eber Betanzos, Saiph Savage:
Blockchain for Trustful Collaborations between Immigrants and Governments. - Reza Mosayebi, Wayan Wicke, Vahid Jamali, Arman Ahmadzadeh, Robert Schober, Masoumeh Nasiri-Kenari:
Advanced Target Detection via Molecular Communication. - Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, Shiri Azenkot:
The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments. - Alexander N. Gorban, Evgeny M. Mirkes, I. Y. Tukin:
How deep should be the depth of convolutional neural networks: a backyard dog case study. - Nan Zhang, Xianghang Mi, Xuan Feng, XiaoFeng Wang, Yuan Tian, Feng Qian:
Understanding and Mitigating the Security Risks of Voice-Controlled Third-Party Skills on Amazon Alexa and Google Home. - Armin Askari, Geoffrey Négiar, Rajiv Sambharya, Laurent El Ghaoui:
Lifted Neural Networks. - Anuj Kumar Goyal, Angeliki Metallinou, Spyros Matsoukas:
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents. - Kevin Buchin, Anne Driemel, Joachim Gudmundsson, Michael Horton, Irina Kostitsyna, Maarten Löffler:
Approximating (k, 𝓁)-center clustering for curves. - Rafael Pires, David Goltzsche, Sonia Ben Mokhtar, Sara Bouchenak, Antoine Boutet, Pascal Felber, Rüdiger Kapitza, Marcelo Pasin, Valerio Schiavoni:
CYCLOSA: Decentralizing Private Web Search Through SGX-Based Browser Extensions. - James Usevitch, Kunal Garg, Dimitra Panagou:
Finite-Time Resilient Formation Control with Bounded Inputs. - Tsz Kin Lam, Julia Kreutzer, Stefan Riezler:
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. - Minh Nguyen, Toan Nguyen, Thien Huu Nguyen:
A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing. - Puyang Xu, Qi Hu:
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking. - Shu Kong, Charless C. Fowlkes:
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling. - Georgios S. Paschos, Nikolaos Liakopoulos, Mérouane Debbah, Tong Wen:
Computational Optimal Transport for 5G Massive C-RAN Device Association. - Stefan Contiu, Rafael Pires, Sébastien Vaucher, Marcelo Pasin, Pascal Felber, Laurent Réveillère:
IBBE-SGX: Cryptographic Group Access Control using Trusted Execution Environments. - Shaohui Kuang, Lifeng Han:
Apply Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level. - Reza Khodayi-mehr, Yiannis Kantaros, Michael M. Zavlanos:
Distributed State Estimation Using Intermittently Connected Robot Networks. - Ingryd Pereira, Diego Santos:
OMG Emotion Challenge - ExCouple Team. - Ni Ding, David Smith, Parastoo Sadeghi, Thierry Rakotoarivelo:
Fairness in Multiterminal Data Compression: A Splitting Method for The Egalitarian Solution. - Lucas S. Oliveira, Pedro O. S. Vaz de Melo, Marcelo S. Amaral, José Antônio G. Pinho:
When Politicians Talk About Politics: Identifying Political Tweets of Brazilian Congressmen. - Christophe Van Gysel, Maarten de Rijke:
Pytrec_eval: An Extremely Fast Python Interface to trec_eval. - Ivan Homoliak, Flavio Toffalini, Juan Guarnizo, Yuval Elovici, Martín Ochoa:
Insight into Insiders: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures. - Hye-Jin Kim, Yong-Hyuk Kim:
Recent Progress on Graph Partitioning Problems Using Evolutionary Computation. - Weihao Kong, Gregory Valiant:
Estimating Learnability in the Sublinear Data Regime. - Debabrota Basu, Pierre Senellart, Stéphane Bressan:
BelMan: Bayesian Bandits on the Belief-Reward Manifold. - Sebastian Schiessl, James Gross, Giuseppe Caire:
Delay Performance of the Multiuser MISO Downlink. - Roland Roller, Madeleine Kittner, Dirk Weissenborn, Ulf Leser:
Cross-lingual Candidate Search for Biomedical Concept Normalization. - S. E. Pyatovsky:
Business Processes of High-Tech Enterprises. - Adam Shimi, Aurélie Hurault, Philippe Quéinnec:
Characterizing Asynchronous Message-Passing Models Through Rounds. - Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball:
Intracranial Error Detection via Deep Learning. - Christian Hadiwinoto, Hwee Tou Ng:
Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation. - Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: generating images from limited data. - Ian J. Hayes, Larissa A. Meinicke:
Encoding fairness in a synchronous concurrent program algebra: extended version with proofs. - Gregory Z. Gutin, George B. Mertzios, Felix Reidl:
Lower and Upper Bound for Computing the Size of All Second Neighbourhoods. - Weiran Huang, Jungseul Ok, Liang Li, Wei Chen:
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version). - Yuefang Sun, Gregory Z. Gutin:
Strong subgraph k-arc-connectivity. - Bernd Meijerink, Mitra Baratchi, Geert Heijenk:
A Distributed Routing Algorithm for Internet-wide Geocast. - Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem. - Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui:
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. - Bin Han, Marcos Rates Crippa, Hans D. Schotten:
5G Island for Network Resilience and Autonomous Failsafe Operations. - Zara Alaverdyan, Carole Lartizien:
Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging. - Aleksandr Zavodovski, Nitinder Mohan, Jussi Kangasharju:
eDisco: Discovering Edge Nodes Along the Path. - Furqan Jameel, Shurjeel Wyne, Syed Junaid Nawaz, Junaid Ahmed, Kanapathippillai Cumanan:
On the Secrecy Performance of SWIPT Receiver Architectures with Multiple Eavesdroppers. - Sonia Ben Mokhtar, Antoine Boutet, Pascal Felber, Marcelo Pasin, Rafael Pires, Valerio Schiavoni:
X-Search: Revisiting Private Web Search using Intel SGX. - Aurélien Havet, Rafael Pires, Pascal Felber, Marcelo Pasin, Romain Rouvoy, Valerio Schiavoni:
SecureStreams: A Reactive Middleware Framework for Secure Data Stream Processing. - Tianheng Tsui:
Two theorems about the P versus NP problem. - Shahar Mahpod, Rig Das, Emanuele Maiorana, Yosi Keller, Patrizio Campisi:
Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network. - Ghada Mohammed Fathy:
Virtual Reality Wireless Mobile Walkthrough Framework. - Rajkumar Buyya, Sukhpal Singh Gill:
Sustainable Cloud Computing: Foundations and Future Directions. - Mohammed Khatiri, Denis Trystram, Frédéric Wagner:
Work Stealing with latency. - Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng:
Dynamic Control Flow in Large-Scale Machine Learning. - Florian Kelbert, Franz Gregor, Rafael Pires, Stefan Köpsell, Marcelo Pasin, Aurélien Havet, Valerio Schiavoni, Pascal Felber, Christof Fetzer, Peter R. Pietzuch:
SecureCloud: Secure Big Data Processing in Untrusted Clouds. - Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou:
To Centralize or Not to Centralize: A Tale of Swarm Coordination. - Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum:
Equity of Attention: Amortizing Individual Fairness in Rankings. - Siavash Ghiasvand, Florina M. Ciorba:
Assessing Data Usefulness for Failure Analysis in Anonymized System Logs. - Eduardo Pinho, Carlos Costa:
Unsupervised learning for concept detection in medical images: a comparative analysis. - Priyabrata Parida, Harpreet S. Dhillon:
Stochastic Geometry-based Uplink Analysis of Massive MIMO Systems with Fractional Pilot Reuse. - Leonid Koppel, Steven Lake Waslander:
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. - Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. - Paul Michel, Graham Neubig:
Extreme Adaptation for Personalized Neural Machine Translation. - Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss:
Object and Text-guided Semantics for CNN-based Activity Recognition. - Ilia Rushkin:
Time-on-Task Estimation with Log-Normal Mixture Model. - Hadi Ravanbakhsh:
Inductive Certificate Synthesis for Control Design. - Jakub Gajarský, Petr Hlinený, Daniel Lokshtanov, Jan Obdrzálek, M. S. Ramanujan:
A New Perspective on FO Model Checking of Dense Graph Classes. - Markus Schröder, Jörn Hees, Ansgar Bernardi, Daniel Ewert, Peter Klotz, Steffen Stadtmüller:
Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths. - Stavros Konstantinidis, Nelma Moreira, Rogério Reis, Joshua Young:
Regular Expressions and Transducers over Alphabet-invariant and User-defined Labels. - Jukka Talvitie, Toni Levanen, Mike Koivisto, Kari Pajukoski, Markku Renfors, Mikko Valkama:
Positioning of High-speed Trains using 5G New Radio Synchronization Signals. - Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini:
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. - Mathias Niepert, Alberto García-Durán:
Towards a Spectrum of Graph Convolutional Networks. - Pierre Aubert, Thomas Vuillaume, Gilles Maurin, Jean Jacquemier, Giovanni Lamanna, Nahid Emad:
Polynomial data compression for large-scale physics experiments. - Eric Atkinson, Cambridge Yang, Michael Carbin:
Verifying Handcoded Probabilistic Inference Procedures. - Matthias Bauer, Valentin Volchkov, Michael Hirsch, Bernhard Schölkopf:
Automatic Estimation of Modulation Transfer Functions. - Nicola Prezza, Nadia Pisanti, Marinella Sciortino, Giovanna Rosone:
Detecting Mutations by eBWT. - Guilherme Iecker Ricardo, José Ferreira de Rezende, Valmir C. Barbosa:
Scheduling wireless links in the physical interference model by fractional edge coloring. - Itzhak Tamo, Min Ye, Alexander Barg:
The repair problem for Reed-Solomon codes: Optimal repair of single and multiple erasures, asymptotically optimal node size. - Christian Koch, Moritz Lode, Denny Stohr, Amr Rizk, Ralf Steinmetz:
Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity. - Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings. - Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes:
RMDL: Random Multimodel Deep Learning for Classification. - Lu Hou, James T. Kwok:
Power Law in Sparsified Deep Neural Networks. - Yunhao Tang, Shipra Agrawal:
Exploration by Distributional Reinforcement Learning. - Denton Bobeldyk, Arun Ross:
Predicting Gender and Race from Near Infrared Iris and Periocular Images. - Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang:
A Rank-Based Similarity Metric for Word Embeddings. - Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Jeff Chiles, Richard P. Mirin, Sae Woo Nam:
Superconducting Optoelectronic Neurons I: General Principles. - Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun:
Learning to See in the Dark. - Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley, Christine A. Donnelly, Manuel Castellanos-Beltran, Michael L. Schneider, Richard P. Mirin, Sae Woo Nam:
Superconducting Optoelectronic Neurons III: Synaptic Plasticity. - Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley, Richard P. Mirin, Sae Woo Nam:
Superconducting Optoelectronic Neurons IV: Transmitter Circuits. - Jeffrey M. Shainline, Jeff Chiles, Sonia M. Buckley, Adam N. McCaughan, Richard P. Mirin, Sae Woo Nam:
Superconducting Optoelectronic Neurons V: Networks and Scaling. - David Güera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Zhu, Stefano Tubaro, Edward J. Delp:
Reliability Map Estimation For CNN-Based Camera Model Attribution. - Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Jeff Chiles, Richard P. Mirin, Sae Woo Nam:
Light for communication and superconductors for efficiency in neural computing. - Ngoc-Khang Le:
Coloring even-hole-free graphs with no star cutset. - Benjamin Allaert, Ioan Marius Bilasco, Chaabane Djeraba:
Advanced local motion patterns for macro and micro facial expression recognition. - Ehsan Kamalloo, Davood Rafiei:
A Coherent Unsupervised Model for Toponym Resolution. - Ngoc-Khang Le, Nicolas Trotignon:
Connected greedy colouring in claw-free graphs. - Faraz Torabi, Garrett Warnell, Peter Stone:
Behavioral Cloning from Observation. - (Withdrawn) Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification.
- Michael Everett, Yu Fan Chen, Jonathan P. How:
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. - Xin Liu, Zhikai Hu, Haibin Ling, Yiu-ming Cheung:
MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval. - Zhongxing Yu, Chenggang Bai, Lionel Seinturier, Martin Monperrus:
Characterizing the Usage and Impact of Java Annotations Over 1000+ Projects. - Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu:
Exploiting the DRAM Microarchitecture to Increase Memory-Level Parallelism. - Mohammad Javad Khojasteh, Mojtaba Hedayatpour, Jorge Cortés, Massimo Franceschetti:
Event-triggering stabilization of real and complex linear systems with disturbances over digital channels. - Aqdas Malik, Aditya Johri, Rajat Handa, Habib Karbasian, Hemant Purohit:
#ILookLikeAnEngineer: Using Social Media Based Hashtag Activism Campaigns as a Lens to Better Understand Engineering Diversity Issues. - Chengcheng Li, Zi Wang, Hairong Qi:
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis. - Jian-Jia Weng, Fady Alajaji, Tamás Linder:
Lossy Transmission of Correlated Sources over Two-Way Channels. - Julius C. Aguma, Bruce M. McMillin:
Introduction of a Hybrid Monitor to Cyber-Physical Systems. - Armon Barton, Mohsen Imani, Jiang Ming, Matthew Wright:
Towards Predicting Efficient and Anonymous Tor Circuits. - Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. - Amlaan Bhoi, Sandeep Joshi:
Various Approaches to Aspect-based Sentiment Analysis. - Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang:
Designing the Game to Play: Optimizing Payoff Structure in Security Games. - Zhengyu Yang, Morteza Hoseinzadeh, Allen Andrews, Clay Mayers, David Thomas Evans, Rory Thomas Bolt, Janki Bhimani, Ningfang Mi, Steven Swanson:
AutoTiering: Automatic Data Placement Manager in Multi-Tier All-Flash Datacenter. - Yuhua Sun, Tongjiang Yan, Zhixiong Chen:
The 2-adic complexity of a class of binary sequences with optimal autocorrelation magnitude. - Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. - Mengran Xue, Sandip Roy:
Modal Barriers to Controllability in Networks with Linearly-Coupled Homogeneous Subsystems. - Yohji Akama:
Confluent terminating extensional lambda-calculi with surjective pairing and terminal type. - Weiheng Jiang, Yi Gong, Yang Cao, Xiaogang Wu, Qian Xiao:
Energy-delay-cost Tradeoff for Task Offloading in Imbalanced Edge Cloud Based Computing. - Mohammad Asadul Hoque, Xiaoyan Hong, Md. Salman Ahmed:
Parallel Closed-Loop Connected Vehicle Simulator for Large-Scale Transportation Network Management: Challenges, Issues, and Solution Approaches. - Chang Liu, Yichao Zhu, Zhi Sun, Dingding Li, Zongliang Du, Weisheng Zhang, Xu Guo:
An efficient Moving Morphable Component (MMC)-based approach for multi-resolution topology optimization. - Chengyuan Zhang, Lei Zhu, Weiren Yu, Jun Long, Fang Huang, Hongbo Zhao:
Efficient Top K Temporal Spatial Keyword Search. - Venkatesh Choppella, Viswanath Kasturi, Arjun Sanjeev:
Generalised Dining Philosophers as Feedback Control. - Minjun Chang, Dorit S. Hochbaum, Quico Spaen, Mark Velednitsky:
DISPATCH: An Optimal Algorithm for Online Perfect Bipartite Matching with i.i.d. Arrivals. - YanTong Wu, Yang Liu:
Position Estimation of Camera Based on Unsupervised Learning. - Kalpant Pathak, Adrish Banerjee:
Optimal Harvest-or-Transmit Strategy for Energy Harvesting Underlay Cognitive Radio Network. - Yue Zhang, Jie Yang:
Chinese NER Using Lattice LSTM. - Dimitris Achlioptas, Fotis Iliopoulos, Alistair Sinclair:
A New Perspective on Stochastic Local Search and the Lovasz Local Lemma. - Torben Stolte, Tianyu Liao, Matthias Nee, Marcus Nolte, Markus Maurer:
Investigating Cross-domain Redundancies in the Context of Vehicle Automation - A Trajectory Tracking Perspective. - Jen-Yu Liu, Yi-Hsuan Yang, Shyh-Kang Jeng:
Weakly-supervised Visual Instrument-playing Action Detection in Videos. - Stefano Leucci, Chih-Hung Liu:
A Nearly Optimal Algorithm for Approximate Minimum Selection with Unreliable Comparisons. - Duygu Ataman, Marcello Federico:
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation. - Barnaby Martin, Peter Jonsson, Manuel Bodirsky, Antoine Mottet:
Classification transfer for qualitative reasoning problems. - Josue Ortega:
Integration in Social Networks. - T.-H. Hubert Chan, Bintao Sun:
An SDP Primal-Dual Approximation Algorithm for Directed Hypergraph Expansion and Sparsest Cut with Product Demands. - Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem:
Transfer Learning of Artist Group Factors to Musical Genre Classification. - Stella Civelli, Enrico Forestieri, Marco Secondini:
Improved Detection Strategies for Nonlinear Frequency-Division Multiplexing. - Eimear Byrne, Alberto Ravagnani:
Partition-Balanced Families of Codes and Asymptotic Enumeration in Coding Theory. - Haichao Cao, Hong Liu, Enmin Song:
Bone marrow cells detection: A technique for the microscopic image analysis. - Christian Lessig:
Polar Wavelets in Space. - Christian Lessig:
Divergence Free Polar Wavelets. - Chih-Hung Liu:
On k Nearest Neighbor Queries in the Plane for General Distance Functions. - Nicolai Kraus, Thorsten Altenkirch:
Free Higher Groups in Homotopy Type Theory. - Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang:
Deep Reinforcement Learning for Playing 2.5D Fighting Games. - Shanxiang Lyu, Antonio Campello, Cong Ling:
Ring Compute-and-Forward over Block-Fading Channels. - Tryphon T. Georgiou, Anders Lindquist:
Dynamic relations in sampled processes. - Rahul Goel, Anurag Singh, Fakhteh Ghanbarnejad:
Modelling Competitive marketing strategies in Social Networks. - Yicun Liu, Jimmy S. J. Ren, Jianbo Liu, Jiawei Zhang, Xiaohao Chen:
Learning Selfie-Friendly Abstraction from Artistic Style Images. - Marco Bressan:
On degeneracy and the parameterized complexity of subgraph counting. - Lichao Mou, Xiao Xiang Zhu:
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images. - Robert V. Lim, Kenneth Heafield, Hieu Hoang, Mark Briers, Allen D. Malony:
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures. - Dmitriy Dligach, Timothy A. Miller:
Learning Patient Representations from Text. - Maria Luisa Damiani, Fatima Hachem, Hamza Issa, Nathan Ranc, Paul Moorcroft, Francesca Cagnacci:
Cluster-based trajectory segmentation with local noise. - Ana Stanescu, Gaurav Pandey:
Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework. - Jiyang Gao, Ram Nevatia:
Revisiting Temporal Modeling for Video-based Person ReID. - Yacov Manevich, Artem Barger, Yoav Tock:
Service Discovery for Hyperledger Fabric. - Mansur Arief, Peter W. Glynn, Ding Zhao:
An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets. - Ebrahim Karami, Mohamed S. Shehata, Andrew J. Smith:
Estimation and Tracking of AP-diameter of the Inferior Vena Cava in Ultrasound Images Using a Novel Active Circle Algorithm. - David Güera, Yu Wang, Luca Bondi, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
A Counter-Forensic Method for CNN-Based Camera Model Identification. - John N. Tsitsiklis, Kuang Xu, Zhi Xu:
Private Sequential Learning. - Yuke Li, Jiahua Yue, Fengjiao Liu, A. Stephen Morse:
The Power Allocation Game on A Network: Computation Issue. - Karthik Paga, Joe Phaneuf, Adam Driscoll, David Evans:
Smoothing and Mapping using Multiple Robots. - Lijun Zhang, Yongbin Gao, Yujin Zhang:
An Image dehazing approach based on the airlight field estimation. - Yi Wei, Xinyu Pan, Hongwei Qin, Junjie Yan:
Quantization Mimic: Towards Very Tiny CNN for Object Detection. - Mikhail V. Berlinkov, Cyril Nicaud:
Synchronizing Random Almost-Group Automata. - Wenbin Hu, Iordanis Chatzinikolaidis, Kai Yuan, Zhibin Li:
Comparison Study of Nonlinear Optimization of Step Durations and Foot Placement for Dynamic Walking. - Tao Hong, Yaniv Romano, Michael Elad:
Acceleration of RED via Vector Extrapolation. - Jianxin Lin, Tiankuang Zhou, Zhibo Chen:
Multi-Scale Face Restoration with Sequential Gating Ensemble Network. - Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. - Vishal Agarwal, Diwanshu Jain, A. Vamshi Krishna Reddy, Frank Chung-Hoon Rhee:
An Interval Type-2 Fuzzy Approach to Automatic PDF Generation for Histogram Specification. - Christian Jilek, Markus Schröder, Sven Schwarz, Heiko Maus, Andreas Dengel:
Context Spaces as the Cornerstone of a Near-Transparent & Self-Reorganizing Semantic Desktop. - Ning Li, José-Fernán Martínez-Ortega, Gregorio Rubio:
Distributed Joint Offloading Decision and Resource Allocation for Multi-User Mobile Edge Computing: A Game Theory Approach. - Carlo Comin, Romeo Rizzi:
On Restricted Disjunctive Temporal Problems: Faster Algorithms and Tractability Frontier. - Sagar Uprety, Yi Su, Dawei Song, Jingfei Li:
Modeling Multidimensional User Relevance in IR using Vector Spaces. - Frits Hof, Walter Kern, Sascha Kurz, Daniël Paulusma:
Simple Games versus Weighted Voting Games. - Xingbo Wu, Fan Ni, Song Jiang:
Wormhole: A Fast Ordered Index for In-memory Data Management. - Victor Magron, Mohab Safey El Din:
RealCertify: a Maple package for certifying non-negativity. - Mark Eldridge:
A Trustworthy Electronic Voting System for Australian Federal Elections. - Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. - Ruiwei Wang, Wei Xia, Roland H. C. Yap:
Correlation Heuristics for Constraint Programming. - Arnold Filtser, Nimrod Talmon:
Distributed Monitoring of Election Winners. - Zhao Chen, Haisheng Xu, Lin X. Cai, Yu Cheng:
Beamforming Design for Max-Min Fair SWIPT in Green Cloud-RAN with Wireless Fronthaul. - M. Kollengode Ramachandran, A. Chockalingam:
MIMO-OTFS in High-Doppler Fading Channels: Signal Detection and Channel Estimation. - Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. - Marek Rei, Anders Søgaard:
Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens. - Deeparnab Chakrabarty, Maryam Negahbani:
Generalized Center Problems with Outliers. - Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang:
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. - Vincent Conitzer:
The Exact Computational Complexity of Evolutionarily Stable Strategies. - Sreejith Kallummil, Sheetal Kalyani:
Residual Ratio Thresholding for Model Order Selection. - Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. - Juliao Braga, Nizam Omar, Luciana F. Thome:
Acquisition and use of knowledge over a restricted domain by intelligent agents. - Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska:
Reachability Analysis of Deep Neural Networks with Provable Guarantees. - Shi Li:
On Facility Location with General Lower Bounds. - Shawn N. Gieser, Joseph Tompkins, Ali Sharifara, Fillia Makedon:
Using Humanoid Robot to Instruct and Evaluate Performance of a Physical Task. - Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional Realization Theory and Polynomial System Solving. - Andrey Kutuzov:
Russian word sense induction by clustering averaged word embeddings. - Mohammad Amin Dashti, Ali Chaibakhsh:
Active disturbance rejection for precise positioning of dual-stage hard disk drives. - Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni:
Construction of the Literature Graph in Semantic Scholar. - Alex Cheng, Jules White:
Automated Diagnosis of Clinic Workflows. - Max Glockner, Vered Shwartz, Yoav Goldberg:
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. - Shubhranshu Shekhar, Leman Akoglu:
Incorporating Privileged Information to Unsupervised Anomaly Detection. - Tasnim Mohiuddin, Shafiq R. Joty, Dat Tien Nguyen:
Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach. - Elias Pimenidis, Nikolaos Polatidis, Haralambos Mouratidis:
Mobile recommender systems: Identifying the major concepts. - Naji Khosravan, Ulas Bagci:
S4ND: Single-Shot Single-Scale Lung Nodule Detection. - Sander Tars, Mark Fishel:
Multi-Domain Neural Machine Translation. - Yichun Shi, Anil K. Jain:
DocFace: Matching ID Document Photos to Selfies. - Yen-Yun Yu, Shireen Y. Elhabian, Ross T. Whitaker:
Clustering With Pairwise Relationships: A Generative Approach. - Zahra Riahi Samani, Mehrnoush Shamsfard:
The State of the Art in Developing Fuzzy Ontologies: A Survey. - Stephen Notley, Malik Magdon-Ismail:
Examining the Use of Neural Networks for Feature Extraction: A Comparative Analysis using Deep Learning, Support Vector Machines, and K-Nearest Neighbor Classifiers. - Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos:
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. - Emmanouil Valsomatzis, Torben Bach Pedersen, Alberto Abelló:
Day-ahead Trading of Aggregated Energy Flexibility - Full Version. - Shadi A. Noghabi, Jack Kolb, Peter Bodík, Eduardo Cuervo:
Unified Management and Optimization of Edge-Cloud IoT Applications. - Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Nonuniform Sampling: Theories and Methods. - Zohair Abu-Shaban, Henk Wymeersch, Thushara D. Abhayapala, Gonzalo Seco-Granados:
Single-Anchor Two-Way Localization Bounds for 5G mmWave Systems: Two Protocols. - Jie Xu, Jianping Yao:
Exploiting Physical-Layer Security for Multiuser Multicarrier Computation Offloading. - Qishao Wang, Zhisheng Duan, Jingyao Wang, Guanrong Chen:
Linear Quadratic Synchronization of Multi-Agent Systems: A Distributed Optimization Approach. - Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. - Enrique Amigó, Damiano Spina, Jorge Carrillo de Albornoz:
An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric. - Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning. - Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua:
Sharp Attention Network via Adaptive Sampling for Person Re-identification. - Yingkai Li, Huidong Liu:
Implementation of Stochastic Quasi-Newton's Method in PyTorch. - Lingfeng Zhang, Ioannis A. Kakadiaris:
A Hierarchical Matcher using Local Classifier Chains. - Robert Schmid, Hassan Dehghani Aghbolagh:
Nonovershooting Cooperative Output Regulation for Linear Multi-Agent Systems. - Srijit Dutta, Debjyoti Bhattacharjee, Anupam Chattopadhyay:
Quantum Circuits for Toom-Cook Multiplication. - Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep Reinforcement Learning for Page-wise Recommendations. - M. Alambardar Meybodi, Mohammad Reza Hooshmandasl, Pouyeh Sharifani, Ali Shakiba:
Domination Cover Number of Graphs. - Boaz Barak, Chi-Ning Chou, Zhixian Lei, Tselil Schramm, Yueqi Sheng:
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs. - Chicheng Zhang:
Efficient active learning of sparse halfspaces. - Lijie Chen, Shafi Goldwasser, Kaifeng Lyu, Guy N. Rothblum, Aviad Rubinstein:
Fine-grained Complexity Meets IP = PSPACE. - Wojciech Chojnacki, Zygmunt L. Szpak:
Full explicit consistency constraints in uncalibrated multiple homography estimation. - Xin Qian, Ziyi Zhong, Jieli Zhou:
Multimodal Machine Translation with Reinforcement Learning. - Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. - Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi:
Elastic Registration of Medical Images With GANs. - Luca Rossetto, Ivan Giangreco, Ralph Gasser, Heiko Schuldt:
Competitive Video Retrieval with vitrivr at the Video Browser Showdown 2018 - Final Notes. - Stuart Oldham, Ben D. Fulcher, Linden Parkes, Aurina Arnatkeviciute, Chao Suo, Alex Fornito:
Consistency and differences between centrality metrics across distinct classes of networks. - Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke:
Weakly-supervised Contextualization of Knowledge Graph Facts. - Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu:
Billion-scale Network Embedding with Iterative Random Projection. - Walied Merghani, Adrian K. Davison, Moi Hoon Yap:
A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics. - Nilavra Bhattacharya, Jacek Gwizdka:
Relating Eye-Tracking Measures With Changes In Knowledge on Search Tasks. - Mika Juuti, Bo Sun, Tatsuya Mori, N. Asokan:
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews. - Karine Altisen, Stéphane Devismes, Anaïs Durand:
Acyclic Strategy for Silent Self-Stabilization in Spanning Forests. - Harrie Oosterhuis, Maarten de Rijke:
Ranking for Relevance and Display Preferences in Complex Presentation Layouts. - Yotam Svoray, Gera Weiss:
A Combinatorial Game and an Efficiently Computable Shift Rule for the Prefer Max De Bruijn Sequence. - Boyang Ding, Quan Wang, Bin Wang, Li Guo:
Improving Knowledge Graph Embedding Using Simple Constraints. - Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji:
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation. - Marinka Zitnik, Rok Sosic, Jure Leskovec:
Prioritizing network communities. - Oscar Defrain, Lhouari Nourine:
Neighborhood preferences for minimal dominating sets enumeration. - Qiaosheng Eric Zhang, Mayank Bakshi, Sidharth Jaggi:
Covert Communication over Adversarially Jammed Channels. - Said Kouachi, Sateeshkrishna Dhuli, Yatindra Nath Singh:
Convergence Rate Analysis for Periodic Gossip Algorithms in Wireless Sensor Networks. - Henk F. Moed, Valentina A. Markusova, Mark Akoev:
Trends in Russian research output indexed in Scopus and Web of Science. - Heiko Becker, Pavel Panchekha, Eva Darulova, Zachary Tatlock:
Combining Tools for Optimization and Analysis of Floating-Point Computations. - Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. - Sarah Winter:
Uniformization Problems for Synchronizations of Automatic Relations on Words. - Wei-Yu Lai, Tien-Ruey Hsiang:
Continuous Terrain Guarding with Two-Sided Guards. - Xudong Mao, Qing Li:
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs. - Merav Parter:
(Δ+1) Coloring in the Congested Clique Model. - Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang:
Deep Ordinal Hashing with Spatial Attention. - Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
A Graph-to-Sequence Model for AMR-to-Text Generation. - Yue Zhang, Qi Liu, Linfeng Song:
Sentence-State LSTM for Text Representation. - Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis C. García-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat P. Müller-Stich, Sébastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel:
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. - David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park:
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. - (Withdrawn) QARC: Video Quality Aware Rate Control for Real-Time Video Streaming based on Deep Reinforcement Learning.
- Henrik Ambos, Nguyen Q. Tran, Alexander Jung:
The Logistic Network Lasso. - Jean-Benoit Delbrouck:
Transformer for Emotion Recognition. - Shovan Maity, Debayan Das, Baibhab Chatterjee, Shreyas Sen:
Characterization and Classification of Human Body Channel as a function of Excitation and Termination Modalities. - Casper van Leeuwen:
GeneVis - An interactive visualization tool for combining cross-discipline datasets within genetics. - Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu:
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. - Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri:
Dictionary Learning and Sparse Coding on Statistical Manifolds. - Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System. - Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng:
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic. - Reza Salkhordeh, Hossein Asadi:
An Operating System Level Data Migration Scheme in Hybrid DRAM-NVM Memory Architecture. - Anelia Somekh-Baruch, Jonathan Scarlett, Albert Guillén i Fàbregas:
Generalized Random Gilbert-Varshamov Codes. - Julian Müller, Klaus Dietmayer:
Detecting Traffic Lights by Single Shot Detection. - R. R. Appino, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser:
Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances. - Max Klimm, Daniel Schmand, Andreas Tönnis:
Online Best Reply Algorithms for Resource Allocation Problems. - Shih-Yi Yeh, I-Hsiang Wang:
Degrees of Freedom of the Bursty MIMO X Channel with Instantaneous Topological Information. - Bhaskaran David Prakash:
Near-drowning Early Prediction Technique Using Novel Equations (NEPTUNE) for Swimming Pools. - Francisco Cruz, Oriol Ramos Terrades:
A probabilistic framework for handwritten text line segmentation. - Boris Aronov, Mark de Berg, Aleksandar Markovic, Gerhard J. Woeginger:
Non-Monochromatic and Conflict-Free Coloring on Tree Spaces and Planar Network Spaces. - François Gonze, Raphaël M. Jungers:
On Completely Reachable Automata and Subset Reachability. - Hannes Ovrén, Per-Erik Forssén:
Trajectory Representation and Landmark Projection for Continuous-Time Structure from Motion. - Davide Fucci, Giuseppe Scanniello, Simone Romano, Natalia Juristo:
Need for Sleep: the Impact of a Night of Sleep Deprivation on Novice Developers' Performance. - Mengdi Liu, Guangquan Xu:
Roundtable Gossip Algorithm: A Novel Sparse Trust Mining Method for Large-scale Recommendation Systems. - Lin Li, Wu Zheng, Zhaoxiang Zhang, Yan Huang, Liang Wang:
Skeleton-Based Relational Modeling for Action Recognition. - Yanru Tang, Faeze Heydaryan, Jie Luo:
Distributed Capacity of A Multiple Access Channel. - Hyoukjun Kwon, Michael Pellauer, Tushar Krishna:
MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators. - Carlos Alegría-Galicia, David Orden, Leonidas Palios, Carlos Seara, Jorge Urrutia:
Capturing points with a rotating polygon (and a 3D extension). - Masaki Nakanishi, Marcos Villagra:
Computational Complexity of Space-Bounded Real Numbers. - Arsenii Vanunts, Alexey Drutsa:
Optimal Pricing in Repeated Posted-Price Auctions. - Tengfei Long, Zhaoming Zhang, Guojin He, Weili Jiao, Chao Tang, Bingfang Wu, Xiaomei Zhang, Guizhou Wang, Ranyu Yin:
30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine. - Sanna Wager, Lijiang Guo, Aswin Sivaraman, Minje Kim:
A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music. - Mehdi Firouznia, Chen Peng, Qing Hui:
Toward Human-in-the-Loop Supervisory Control for Cyber-Physical Networks. - Fotis Psallidas, Eugene Wu:
Provenance for Interactive Visualizations. - Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira:
Computing the Shattering Coefficient of Supervised Learning Algorithms. - Mika Juuti, Sebastian Szyller, Alexey Dmitrenko, Samuel Marchal, N. Asokan:
PRADA: Protecting against DNN Model Stealing Attacks. - Chanhwa Lee, Hyungbo Shim, Yongsoon Eun:
On Redundant Observability: From Security Index to Attack Detection and Resilient State Estimation. - Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi:
Label Refinery: Improving ImageNet Classification through Label Progression. - Shai Dekel, Oren Elisha, Ohad Morgan:
Wavelet Decomposition of Gradient Boosting. - Adrián Jarabo, Carlos Aliaga, Diego Gutierrez:
A Radiative Transfer Framework for Spatially-Correlated Materials. - Santosh S. Vempala, John Wilmes:
Polynomial Convergence of Gradient Descent for Training One-Hidden-Layer Neural Networks. - Sonakshi Mathur, Mallika Chaudhary, Hemant Verma, Murari Mandal, Santosh Kumar Vipparthi, Subrahmanyam Murala:
Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval. - (Withdrawn) Predicting Graph Categories from Structural Properties.
- Ivan Homoliak, Martin Teknos, Martín Ochoa, Dominik Breitenbacher, Saeid Hosseini, Petr Hanácek:
Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach. - Evangelos Pournaras, Srivatsan Yadhunathan, Ada Diaconescu:
Holarchic Structures for Decentralized Deep Learning - A Performance Analysis. - Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. - Wenbo Wang, Dinh Thai Hoang, Zehui Xiong, Dusit Niyato, Ping Wang, Peizhao Hu, Yonggang Wen:
A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks. - Jacques Carette, William M. Farmer, Yasmine Sharoda:
Biform Theories: Project Description. - Bahador Saket, Alex Endert:
Evaluation of Visualization by Demonstration and Manual View Specification. - Eliu A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen:
Real-time regression analysis with deep convolutional neural networks. - Jose Alvarez, Stéphane Maag, Fatiha Zaïdi:
MANETs monitoring with a distributed hybrid architecture. - Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld:
Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain. - Hina Tabassum, Mohammad Salehi, Ekram Hossain:
Mobility-Aware Analysis of 5G and B5G Cellular Networks: A Tutorial. - Daniel Hahn, Noah J. Apthorpe, Nick Feamster:
Detecting Compressed Cleartext Traffic from Consumer Internet of Things Devices. - Marcelo Arenas, Martin Muñoz, Cristian Riveros:
Descriptive Complexity for Counting Complexity Classes. - Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. - Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson:
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. - Yi Zhu, Shawn D. Newsam:
Learning Optical Flow via Dilated Networks and Occlusion Reasoning. - Brian Randell:
Fifty Years of Software Engineering - or - The View from Garmisch. - Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang:
Effective Automated Decision Support for Managing Crowdtesting. - Gordon Chu, Noah J. Apthorpe, Nick Feamster:
Security and Privacy Analyses of Internet of Things Toys. - Thomio Watanabe, Denis F. Wolf:
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment. - Raúl Nozal, José Luis Bosque, Ramón Beivide:
EngineCL: Usability and Performance in Heterogeneous Computing. - Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang:
Cutting Away the Confusion From Crowdtesting. - Kévin Garanger, Thanakorn Khamvilai, Eric Feron:
3D printing of a leaf spring: A demonstration of closed-loop control in additive manufacturing. - Eric Knauss, Grischa Liebel, Jennifer Horkoff, Rebekka Wohlrab, Rashidah Kasauli, Filip Lange, Pierre Gildert:
T-Reqs: Tool Support for Managing Requirements in Large-Scale Agile System Development. - Kevin Eckenhoff, Patrick Geneva, Guoquan Huang:
Continuous Preintegration Theory for Graph-based Visual-Inertial Navigation. - Chun Kai Ling, Fei Fang, J. Zico Kolter:
What game are we playing? End-to-end learning in normal and extensive form games. - Joshua R. Bertram, Xuxi Yang, Peng Wei:
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards. - Julia Kindelsberger, Lex Fridman, Michael Glazer, Bryan Reimer:
Designing Toward Minimalism in Vehicle HMI. - Zhengshuo Li, Jianhui Wang, Hongbin Sun, Feng Qiu, Qinglai Guo:
Robust Estimation of Reactive Power for an Active Distribution System. - Amy Tai, Andrew Kryczka, Shobhit O. Kanaujia, Chris Petersen, Mikhail Antonov, Muhammad Waliji, Kyle Jamieson, Michael J. Freedman, Asaf Cidon:
Live Recovery of Bit Corruptions in Datacenter Storage Systems. - Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury:
FFNet: Video Fast-Forwarding via Reinforcement Learning. - Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based Content and Computation-aware Communication for Real-time Edge Computing. - Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. - Xuanchang Ran, Tianqi Hong:
Potential Negative Impact on Reliability of Distributed Generation under Temporary Faults. - Jie Zhang, Myoungsoo Jung:
FlashAbacus: A Self-Governing Flash-Based Accelerator for Low-Power Systems. - Xiaohui Xie, Jiaxin Mao, Maarten de Rijke, Ruizhe Zhang, Min Zhang, Shaoping Ma:
Constructing an Interaction Behavior Model for Web Image Search. - Yue Zhou, Rong Li, Huazi Zhang, Hejia Luo, Jun Wang:
Polarization Weight Family Methods for Polar Code Construction. - Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Attention-based Hierarchical Neural Query Suggestion. - Gowri Sankar Ramachandran, Bhaskar Krishnamachari:
Blockchain for the IoT: Opportunities and Challenges. - Yu Cai, Yixin Luo, Erich F. Haratsch, Ken Mai, Saugata Ghose, Onur Mutlu:
Experimental Characterization, Optimization, and Recovery of Data Retention Errors in MLC NAND Flash Memory. - Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-coarse Manifesto Text Analysis. - Yi Zhang, Zhengfei Wang, Guoxiong Xu, Hongshi Huang, Wenxin Li:
N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients. - Silas L. Fong, Jing Yang, Aylin Yener:
Non-Asymptotic Achievable Rates for Gaussian Energy-Harvesting Channels: Best-Effort and Save-and-Transmit. - Ping Li:
Several Tunable GMM Kernels. - Zhiyong Sun, Toshiharu Sugie:
Identification of Hessian matrix in distributed gradient-based multi-agent coordination control systems. - Luowei Zhou, Nathan Louis, Jason J. Corso:
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction. - Mengbin Ye, Minh Hoang Trinh, Young-Hun Lim, Brian D. O. Anderson, Hyo-Sung Ahn:
Continuous-time Opinion Dynamics on Multiple Interdependent Topics. - Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-based Temporal Summarization of 360° Videos. - Meghana Nasre, Prajakta Nimbhorkar, Nada Pulath:
Dichotomy Results for Classified Rank-Maximal Matchings and Popular Matchings. - Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon:
Tile2Vec: Unsupervised representation learning for spatially distributed data. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Jian Su:
Reasoning with Sarcasm by Reading In-between. - Adnan Rashid, Osman Hasan:
Formal Analysis of Robotic Cell Injection Systems using Theorem Proving. - Duligur Ibeling, Thomas Icard:
On the Conditional Logic of Simulation Models. - Yunfeng Wang, Wengang Zhou, Qilin Zhang, Houqiang Li:
Visual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition. - Tomás Brázdil, Antonín Kucera, Vojtech Rehák:
Synthesizing Efficient Solutions for Patrolling Problems in the Internet Environment. - Maxim Milakov, Natalia Gimelshein:
Online normalizer calculation for softmax. - Harkiran Kaur, Aanchal Phutela:
Statistical Dimension Identification and Implementation for Student Progression System. - Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. - Yunfeng Wang, Wengang Zhou, Qilin Zhang, Xiaotian Zhu, Houqiang Li:
Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network. - Eugenija A. Bondar, Mikhail V. Volkov:
A Characterization of Completely Reachable Automata. - Tiphaine Viard, Raphaël Fournier-S'niehotta:
Movie rating prediction using content-based and link stream features. - Dong Zhou, Huimin Ma, Yuhan Dong:
Driving maneuvers prediction based on cognition-driven and data-driven method. - Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa:
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring. - Mauro Barni, Hector Santoyo-Garcia, Benedetta Tondi:
An Improved Statistic for the Pooled Triangle Test against PRNU-Copy Attack. - Long Chen, Jigang Wu, Gangqiang Zhou, Longjie Ma:
QUICK: QoS-guaranteed Efficient Cloudlet Placement in Wireless Metropolitan Area Networks. - Chao Zhang, Ce Zhu, Jimin Xiao, Xun Xu, Yipeng Liu:
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label. - Peng Kang, Yixuan Xie, Lei Yang, Jinhong Yuan:
Reliability-Based Windowed Decoding for Spatially-Coupled LDPC Codes. - Yijia Chen, Abdallah Saffidine, Christoph Schwering:
The Complexity of Limited Belief Reasoning - The Quantifier-Free Case. - Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan:
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning. - Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto:
Interpretable Adversarial Perturbation in Input Embedding Space for Text. - Daniel Oñoro-Rubio, Mathias Niepert, Roberto Javier López-Sastre:
Learning Short-Cut Connections for Object Counting. - Olga Krestinskaya, Irina Dolzhikova, Alex Pappachen James:
Hierarchical Temporal Memory using Memristor Networks: A Survey. - Kwanchiva Thangthai, Helen L. Bear, Richard W. Harvey:
Comparing phonemes and visemes with DNN-based lipreading. - J. V. Roig:
Do Smarter People Have Better Passwords? - Qingling Wang, Haris E. Psillakis, Changyin Sun:
Cooperative Control of Multiple Agents with Unknown High-frequency Gain Signs under Unbalanced and Switching Topologies. - Helen L. Bear, Richard W. Harvey:
Phoneme-to-viseme mappings: the good, the bad, and the ugly. - Jinyi Zhang, Tadahiro Matsumoto:
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature. - Timo Korthals, Julian Exner, Thomas Schöpping, Marc Hesse:
Path Evaluation via HMM on Semantical Occupancy Grid Maps. - Jan Kretínský, Tobias Meggendorfer:
Conditional Value-at-Risk for Reachability and Mean Payoff in Markov Decision Processes. - Matthew Hague, Roland Meyer, Sebastian Muskalla, Martin Zimmermann:
Parity to Safety in Polynomial Time for Pushdown and Collapsible Pushdown Systems. - Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. - Binanda Sengupta, Nishant Nikam, Sushmita Ruj, Srinivasan Narayanamurthy, Siddhartha Nandi:
An Efficient Secure Distributed Cloud Storage for Append-only Data. - Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin:
Multinomial Logit Bandit with Linear Utility Functions. - Sepehr Assadi, Xiaorui Sun, Omri Weinstein:
Massively Parallel Algorithms for Finding Well-Connected Components in Sparse Graphs. - Esmaeil Karimi, Fatemeh Kazemi, Anoosheh Heidarzadeh, Alex Sprintson:
A Simple and Efficient Strategy for the Coin Weighing Problem with a Spring Scale. - Duong Tung Nguyen, Long Bao Le, Vijay K. Bhargava:
Price-based Resource Allocation for Edge Computing: A Market Equilibrium Approach. - Younghun Song, Jae-Gil Lee:
Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation. - Fangwei Ye, Shiqiu Liu, Kenneth W. Shum, Raymond W. Yeung:
On Secure Exact-repair Regenerating Codes with a Single Pareto Optimal Point. - Christine Markarian:
Online Connected Dominating Set Leasing. - Yanlin Zhou, Chen Peng, Qing Hui:
A Spiking Neural Dynamical Drift-Diffusion Model on Collective Decision Making with Self-Organized Criticality. - Yujing Sun, Yizhou Yu, Wenping Wang:
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks. - Yi Yu, Suhua Tang, Kiyoharu Aizawa, Akiko Aizawa:
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data. - Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong:
NeuRec: On Nonlinear Transformation for Personalized Ranking. - Wisdom C. Agboh, Mehmet Remzi Dogar:
Pushing Fast and Slow: Task-Adaptive MPC for Pushing Manipulation Under Uncertainty. - Ziv Goldfeld, Guy Bresler, Yury Polyanskiy:
Information Storage in the Stochastic Ising Model. - Alexis Bès, Christian Choffrut:
Decidability of the existential fragment of some infinitely generated trace monoids: an application to ordinals. - Bogdan Penkovsky, Laurent Larger, Daniel Brunner:
Efficient Design of Hardware-Enabled Recurrent Neural Networks. - Kardi Teknomo:
Ideal Relative Flow Distribution on Directed Network. - Jiang Zhu, Lin Han, Xiangming Meng, Zhiwei Xu:
Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing. - Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Manabi Khan, Vivek Seshadri, Kevin K. Chang, Onur Mutlu:
Adaptive-Latency DRAM: Reducing DRAM Latency by Exploiting Timing Margins. - Donghyuk Lee, Yoongu Kim, Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu:
Tiered-Latency DRAM: Enabling Low-Latency Main Memory at Low Cost. - Fuqiang Liu, Chenchen Liu:
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks. - Alexandr Andoni, Clifford Stein, Zhao Song, Zhengyu Wang, Peilin Zhong:
Parallel Graph Connectivity in Log Diameter Rounds. - Wenxiao Zhang, Sikun Lin, Farshid Hassani Bijarbooneh, Hao Fei Cheng, Pan Hui:
CloudAR: A Cloud-based Framework for Mobile Augmented Reality. - Cristina Palmero, Javier Selva, Mohammad Ali Bagheri, Sergio Escalera:
Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues. - Dominik Kowald, Elisabeth Lex:
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms. - Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu:
Active Object Reconstruction Using a Guided View Planner. - Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. - Jianhan Song, Qiaosheng Eric Zhang, Swanand Kadhe, Mayank Bakshi, Sidharth Jaggi:
Multipath Stealth Communication with Jammers. - Christian Bailer, Tewodros Habtegebrial, Kiran Varanasi, Didier Stricker:
Fast Feature Extraction with CNNs with Pooling Layers. - Recep Gül, Helmut Bölcskei, Shlomo Shamai:
Necessary Conditions for K/2 Degrees of Freedom. - Elliot Anshelevich, Wennan Zhu:
Ordinal Approximation for Social Choice, Matching, and Facility Location Problems given Candidate Positions. - Pablo Lanillos, Gordon Cheng:
Adaptive robot body learning and estimation through predictive coding. - Pan Gao, Cagri Ozcinar, Aljosa Smolic:
Optimization of Occlusion-Inducing Depth Pixels in 3-D Video Coding. - Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra:
Learning on the Edge: Explicit Boundary Handling in CNNs. - Michael Färber, Cezary Kaliszyk, Josef Urban:
Machine Learning Guidance and Proof Certification for Connection Tableaux. - Qiaoqiao Zhou, Chung Chan:
Secrecy Capacity under Limited Discussion Rate for Minimally Connected Hypergraphical Sources. - Bolin Chen, Zheng Chen, Nikolaos Pappas, Di Yuan, Jie Zhang:
Modeling and Analysis of MPTCP Proxy-based LTE-WLAN Path Aggregation. - Faeze Heydaryan, Yanru Tang, Jie Luo:
Distributed Multiple Access with Multiple Transmission Options at The Link Layer. - Rob van der Goot, Nikola Ljubesic, Ian Matroos, Malvina Nissim, Barbara Plank:
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction. - Tara Brough, Alan J. Cain:
A Language Hierarchy of Binary Relations. - Nils Murrugarra-Llerena, Adriana Kovashka:
Image Retrieval with Mixed Initiative and Multimodal Feedback. - Fatemeh Zahedi, Zahra Zahedi:
A review of neuro-fuzzy systems based on intelligent control. - Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Parallel Computation of PDFs on Big Spatial Data Using Spark. - Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer:
High-resolution medical image synthesis using progressively grown generative adversarial networks. - Yu Liu, Guanlong Zhao:
PAD-Net: A Perception-Aided Single Image Dehazing Network. - Davide G. Cavezza, Dalal Alrajeh, András György:
A Weakness Measure for GR(1) Formulae. - Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu:
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips. - Roberto Grossi, Luca Versari:
Round-Hashing for Data Storage: Distributed Servers and External-Memory Tables. - Tong Niu, Mohit Bansal:
Polite Dialogue Generation Without Parallel Data. - Brandon Fain, Kamesh Munagala, Nisarg Shah:
Fair Allocation of Indivisible Public Goods. - Sergey Bereg:
A construction of product blocks with a fixed block size. - Gregory Kalogiannis, Karampelas Nikolaos, George Hassapis:
A reworked SOBI algorithm based on SCHUR Decomposition for EEG data processing. - Sandra Martínez, Oscar E. Martínez:
Superresolution method for data deconvolution by superposition of point sources. - Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu:
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency. - George Kappos, Haaroon Yousaf, Mary Maller, Sarah Meiklejohn:
An Empirical Analysis of Anonymity in Zcash. - Avelino Forechi, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Visual Global Localization with a Hybrid WNN-CNN Approach. - Kevin K. Chang, Prashant J. Nair, Saugata Ghose, Donghyuk Lee, Moinuddin K. Qureshi, Onur Mutlu:
LISA: Increasing Internal Connectivity in DRAM for Fast Data Movement and Low Latency. - Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning image-to-image translation using paired and unpaired training samples. - Dmitry S. Kulyabov, Migran N. Gevorkyan, Anastasiya V. Demidova, Tatiana R. Velieva, Anna V. Korolkova, Leonid A. Sevastianov:
Implementing a Method for Stochastization of One-Step Processes in a Computer Algebra System. - Kaiying Hou, Jayson Lynch:
The Computational Complexity of Finding Hamiltonian Cycles in Grid Graphs of Semiregular Tessellations. - Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Using Individually Shared Randomness. - Hasan Hassan, Nandita Vijaykumar, Samira Manabi Khan, Saugata Ghose, Kevin K. Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu:
SoftMC: Practical DRAM Characterization Using an FPGA-Based Infrastructure. - Jinfeng Du, Dmitry Chizhik, Rodolfo Feick, Guillermo Castro, Mauricio Rodríguez, Reinaldo A. Valenzuela:
Suburban Residential Building Penetration Loss at 28 GHz for Fixed Wireless Access. - Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang:
Crowdtesting : When is The Party Over? - Siddharth Mahendran, Haider Ali, René Vidal:
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images. - Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources. - Anoosheh Heidarzadeh, Jean-François Chamberland, Parimal Parag, Richard D. Wesel:
A Systematic Approach to Incremental Redundancy over Erasure Channels. - Konstantin Danilov, Ruslan Rezin, Alexander Kolotov, Ilya Afanasyev:
Towards blockchain-based robonomics: autonomous agents behavior validation. - Roberto E. Lopez-Herrejon, Gerardo Herrera, Javier Sevilla:
A Focused Mapping Study on Customization in Interactive Technologies for Autism. - Victor Milenkovic, Elisha Sacks:
Geometric Rounding and Feature Separation in Meshes. - Thomas Bläsius, Cedric Freiberger, Tobias Friedrich, Maximilian Katzmann, Felix Montenegro-Retana, Marianne Thieffry:
Efficient Shortest Paths in Scale-Free Networks with Underlying Hyperbolic Geometry. - Jiaping Zhang, Tiancheng Zhao, Zhou Yu:
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog. - Hassan Mansour, Dehong Liu, Ulugbek S. Kamilov, Petros T. Boufounos:
Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging. - Rahul Devassy, Giuseppe Durisi, Guido Carlo Ferrante, Osvaldo Simeone, Elif Uysal-Biyikoglu:
Delay and Peak-Age Violation Probability in Short-Packet Transmissions. - Shishan Yang, Marcus Baum:
Tracking the Orientation and Axes Lengths of an Elliptical Extended Object. - Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. - Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan:
Capturing Edge Attributes via Network Embedding. - Yu Cai, Yixin Luo, Saugata Ghose, Erich F. Haratsch, Ken Mai, Onur Mutlu:
Read Disturb Errors in MLC NAND Flash Memory. - Anna Sapienza, Palash Goyal, Emilio Ferrara:
Deep Neural Networks for Optimal Team Composition. - Yu Cai, Saugata Ghose, Yixin Luo, Ken Mai, Onur Mutlu, Erich F. Haratsch:
Characterizing, Exploiting, and Mitigating Vulnerabilities in MLC NAND Flash Memory Programming. - Albert Zeyer, Kazuki Irie, Ralf Schlüter, Hermann Ney:
Improved training of end-to-end attention models for speech recognition. - Yuting Chen, Carlo A. Furia:
Robustness Testing of Intermediate Verifiers. - Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala:
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. - Zheng Xu, Xitong Yang, Xue Li, Xiaoshuai Sun:
The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing. - Stefan Feuerriegel, Nicolas Pröllochs:
Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation. - Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. - Mingtao Lei, Lingyang Chu, Zhefeng Wang:
Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach. - Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan:
Mining and Forecasting Career Trajectories of Music Artists. - David Livingston McPherson, Dexter R. R. Scobee, Joseph Menke, Allen Y. Yang, S. Shankar Sastry:
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams. - (Withdrawn) LogIn: Unlock Journaling System for Personal Informatics.
- Mi Xue Tan, Yuhuang Hu, Nikola I. Nikolov, Richard H. R. Hahnloser:
wubi2en: Character-level Chinese-English Translation through ASCII Encoding. - Gabriel Schamberg, Todd P. Coleman:
A Sample Path Measure of Causal Influence. - William H. Wilson:
Multi-scale metrics and self-organizing maps: a computational approach to the structure of sensory maps. - Pinar Sen, Sung Hoon Lim, Young-Han Kim:
Optimal Achievable Rates for Computation With Random Homologous Codes. - Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang:
Attention-Aware Compositional Network for Person Re-identification. - Roy Ka-Wei Lee, David Lo:
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites. - Juan José Besa Vial, William E. Devanny, David Eppstein, Michael T. Goodrich, Timothy Johnson:
Optimally Sorting Evolving Data. - Konstantinos Georgiou, Jay Griffiths, Yuval Yakubov:
Symmetric Rendezvous With Advice: How to Rendezvous in a Disk. - Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang:
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. - Yuhang Song, Chao Yang, Yeji Shen, Peng Wang, Qin Huang, C.-C. Jay Kuo:
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting. - Fabian Kuhn, Chaodong Zheng:
Efficient Distributed Computation of MIS and Generalized MIS in Linear Hypergraphs. - Ziji Shi, Wee Keong Ng:
A Collision-Free Path Planning Algorithm for Unmanned Aerial Vehicle Delivery. - Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau:
Reward Estimation for Variance Reduction in Deep Reinforcement Learning. - Baosheng Yu, Dacheng Tao:
Anchor Cascade for Efficient Face Detection. - Andy Shih, Arthur Choi, Adnan Darwiche:
A Symbolic Approach to Explaining Bayesian Network Classifiers. - Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
LearningWord Embeddings for Low-resource Languages by PU Learning. - Jingbo Liu:
Dispersion Bound for the Wyner-Ahlswede-Körner Network via Reverse Hypercontractivity on Types. - Aawesh Shrestha, Myounggyu Won:
DeepWalking: Enabling Smartphone-based Walking Speed Estimation Using Deep Learning. - Xiangyu Liu, Yunhong Wang, Qingjie Liu:
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening. - Michael Kruse, Hal Finkel:
A Proposal for Loop-Transformation Pragmas. - Corwin Sinnamon:
Complexity of Proper Suffix-Convex Regular Languages. - Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning:
Opinion Fraud Detection via Neural Autoencoder Decision Forest. - Conrad Sanderson, Ryan R. Curtin:
A User-Friendly Hybrid Sparse Matrix Class in C++. - Weiran Shen, Pingzhong Tang, Song Zuo:
Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks. - Yijie Bei, Alexandru Damian, Shijia Hu, Sachit Menon, Nikhil Ravi, Cynthia Rudin:
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution. - Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou:
Edit Probability for Scene Text Recognition. - Roland Kluge, Michael Stein, Gergely Varró, Andy Schürr, Matthias Hollick, Max Mühlhäuser:
A Systematic Approach to Constructing Incremental Topology Control Algorithms Using Graph Transformation. - Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen, Jim Tørresen, Kyrre Glette:
Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations. - T.-H. Hubert Chan, Rafael Pass, Elaine Shi:
Communication-Efficient Byzantine Agreement without Erasures. - Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft:
Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. - Yair Meidan, Michael Bohadana, Yael Mathov, Yisroel Mirsky, Dominik Breitenbacher, Asaf Shabtai, Yuval Elovici:
N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders. - Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke:
A Click Sequence Model for Web Search. - Jingwei Chen, Damien Stehlé, Gilles Villard:
Computing an LLL-reduced basis of the orthogonal lattice. - György Csomós:
Factors Influencing Cities' Publishing Efficiency. - Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin:
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. - Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla:
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. - Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification with Convolutional Prototype Learning. - Zheng Wang, Michael F. P. O'Boyle:
Machine Learning in Compiler Optimisation. - Woohyung Chun, Sung-Min Hong, Junho Huh, Inyup Kang:
Controlling the privacy loss with the input feature maps of the layers in convolutional neural networks. - Alin Bostan, Frédéric Chyzak, Pierre Lairez, Bruno Salvy:
Generalized Hermite Reduction, Creative Telescoping and Definite Integration of D-Finite Functions. - Roberto E. Lopez-Herrejon, Gerardo Herrera, Javier Sevilla:
Personalization of Computer-Based Technologies for Autism: An Open Challenge for Software Engineering? - John Galea, Sean Heelan, Daniel Neville, Daniel Kroening:
Evaluating Manual Intervention to Address the Challenges of Bug Finding with KLEE. - Lasitha Mekkayil, Hariharan Ramasangu:
Object Tracking with Correlation Filters using Selective Single Background Patch. - He Ye, Matias Martinez, Martin Monperrus:
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark. - Michael Feldmann, Christian Scheideler:
Skeap & Leap: Scalable Distributed Priority Queues for constant and arbitrary Priorities. - Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. - Yann Disser, Jan Hackfeld, Max Klimm:
Tight bounds for undirected graph exploration with pebbles and multiple agents. - Bojian Wu, Yang Zhou, Yiming Qian, Minglun Gong, Hui Huang:
Full 3D Reconstruction of Transparent Objects. - Johannes Maly, Lars Palzer:
Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements. - Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Michel F. Valstar:
Joint Action Unit localisation and intensity estimation through heatmap regression. - Michal Pilipczuk, Sebastian Siebertz, Szymon Torunczyk:
Parameterized circuit complexity of model checking first-order logic on sparse structures. - Stefano De Angelis:
Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains. - Markus Schröder, Christian Jilek, Andreas Dengel:
Deep Linking Desktop Resources. - Tom van Dijk, Rüdiger Ehlers, Armin Biere:
Revisiting Decision Diagrams for SAT. - Sayan Bhattacharya, Janardhan Kulkarni:
Deterministically Maintaining a (2+ε)-Approximate Minimum Vertex Cover in O(1/ε2) Amortized Update Time. - Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
RowClone: Accelerating Data Movement and Initialization Using DRAM. - Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu:
Diffusion Based Network Embedding. - Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao:
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding. - Georg Waltner, Michael Maurer, Thomas Holzmann, Patrick Ruprecht, Michael Opitz, Horst Possegger, Friedrich Fraundorfer, Horst Bischof:
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems. - Jose Alvarez, Stephane Maag, Fatiha Zaïdi:
Monitoring Dynamic Mobile Ad-Hoc Networks: A Fully Distributed Hybrid Architecture. - René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker:
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. - Shoaib Sufi, Beth Duckles, Iveta Simera, Terhi Nurmikko-Fuller, Louisa J. Bellis, Wadud Miah, Adriana Wilde, Aleksandra Nenadic, Raniere Silva, Jennifer A. de Beyer, Caroline Struthers, Iain Emsley, Olivier Philippe, Melissa Balzano, Sara Coelho, Heather Ford, Catherine Mary Jones, Vanessa Higgins:
Ten simple rules for measuring the impact of workshops. - Jaeyoung Choi, Yung Yi:
Necessary and Sufficient Budgets in Information Source Finding with Querying: Adaptivity Gap. - Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras:
RHEEMix in the Data Jungle - A Cross-Platform Query Optimizer -. - Andrew W. Eckford, Benjamin Kuznets-Speck, Michael Hinczewski, Peter J. Thomas:
Thermodynamic Properties of Molecular Communication. - Huw Lloyd, Martyn Amos:
Solving Sudoku with Ant Colony Optimisation. - Sona Ghahremani, Holger Giese, Thomas Vogel:
Efficient Utility-Driven Self-Healing Employing Adaptation Rules for Large Dynamic Architectures. - Tam Willy Nguyen, Laurent Catoire, Emanuele Garone:
Proofs of Control of a Quadrotor and a Ground Vehicle Manipulating an Object. - Yujian Li, Chuanhui Shan:
A Unified Framework of Deep Neural Networks by Capsules. - Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
On Visual Hallmarks of Robustness to Adversarial Malware. - Wei-Ning Chen, I-Hsiang Wang:
Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity. - Poulami Sarkar, Snehanshu Saha, Archana Mathur, Rahul Aedula, Saibal Kar, Surbhi Agrawal, Kakoli Bora:
Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area. - Eleonore Ferrier-Barbut, Dominique Vaufreydaz, Jean-Alix David, Jérôme Lussereau, Anne Spalanzani:
Personal space of autonomous car's passengers sitting in the driver's seat. - Jurek Czyzowicz, Konstantinos Georgiou, Ryan Killick, Evangelos Kranakis, Danny Krizanc, Lata Narayanan, Jaroslav Opatrny, Sunil M. Shende:
Priority Evacuation from a Disk Using Mobile Robots. - Zekun Yang, Ning Chen, Yu Chen, Ning Zhou:
A Novel PMU Fog based Early Anomaly Detection for an Efficient Wide Area PMU Network. - Tuukka Norri, Bastien Cazaux, Dmitry Kosolobov, Veli Mäkinen:
Minimum Segmentation for Pan-genomic Founder Reconstruction in Optimal Time. - Yong Wang:
Reversible Truly Concurrent Process Algebra. - Matías R. Bender, Jean-Charles Faugère, Elias P. Tsigaridas:
Towards Mixed Gr{ö}bner Basis Algorithms: the Multihomogeneous and Sparse Case. - Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. - S. Phani Teja, Parijat Dewangan, Pooja Guhan, K. Madhava Krishna, Abhishek Sarkar:
Learning Coordinated Tasks using Reinforcement Learning in Humanoids. - Jiajin Li, Baoxiang Wang:
Policy Optimization with Second-Order Advantage Information. - Bingcong Li, Tianyi Chen, Georgios B. Giannakis:
Secure Mobile Edge Computing in IoT via Collaborative Online Learning. - Lokesh Boominathan, Mayug Maniparambil, Honey Gupta, Rahul Baburajan, Kaushik Mitra:
Phase retrieval for Fourier Ptychography under varying amount of measurements. - Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam:
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask. - Sona Ghahremani, Holger Giese, Thomas Vogel:
Towards Linking Adaptation Rules to the Utility Function for Dynamic Architectures. - Fan Xu, Meixia Tao:
Fundamental Limits of Decentralized Caching in Fog-RANs with Wireless Fronthaul. - Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du:
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. - Anders Søgaard, Sebastian Ruder, Ivan Vulic:
On the Limitations of Unsupervised Bilingual Dictionary Induction. - Niranjana Ambadi:
Multicast Networks Solvable over Every Finite Field. - Avishek Joey Bose, Huan Ling, Yanshuai Cao:
Adversarial Contrastive Estimation. - Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach. - Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. - Taraka Rama:
Three tree priors and five datasets: A study of the effect of tree priors in Indo-European phylogenetics. - Emre Çakir, Tuomas Virtanen:
End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input. - Ryan Kastner, Janarbek Matai, Stephen Neuendorffer:
Parallel Programming for FPGAs. - Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. - Sarah Holland, Ahmed Hosny, Sarah Newman, Joshua Joseph, Kasia Chmielinski:
The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards. - Abien Fred Agarap, Paul Grafilon:
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN). - Anna R. Dornhaus, Nancy A. Lynch, Frederik Mallmann-Trenn, Dominik Pajak, Tsvetomira Radeva:
Self-Stabilizing Task Allocation In Spite of Noise. - Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot:
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features. - Samuel Chevalier, Paul D. H. Hines:
Mitigating the Risk of Voltage Collapse using Statistical Measures from PMU Data. - Terrence Adams:
Description of a Tracking Metric Inspired by KL-divergence. - Patrick Stotko, Stefan Krumpen, Matthias B. Hullin, Michael Weinmann, Reinhard Klein:
SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence. - Alexandre Salle, Aline Villavicencio:
Incorporating Subword Information into Matrix Factorization Word Embeddings. - Vitaly Kuznetsov, Zelda Mariet:
Foundations of Sequence-to-Sequence Modeling for Time Series. - Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer:
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. - Charles Eckert, Xiaowei Wang, Jingcheng Wang, Arun Subramaniyan, Ravi R. Iyer, Dennis Sylvester, David T. Blaauw, Reetuparna Das:
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks. - Matthew Guzdial, Nicholas Liao, Vishwa Shah, Mark O. Riedl:
Creative Invention Benchmark. - Natanael Arndt, Patrick Naumann, Norman Radtke, Michael Martin, Edgard Marx:
Decentralized Collaborative Knowledge Management using Git. - Rocco De Nicola, Alessandro Maggi, Joseph Sifakis:
DReAM: Dynamic Reconfigurable Architecture Modeling (full paper). - Eric Balkanski, Renato Paes Leme:
On the Construction of Substitutes. - Viveck R. Cadambe, Nicolas C. Nicolaou, Kishori M. Konwar, N. Prakash, Nancy A. Lynch, Muriel Médard:
ARES: Adaptive, Reconfigurable, Erasure coded, atomic Storage. - Ardhendu Tripathy, Aditya Ramamoorthy:
Zero-error Function Computation on a Directed Acyclic Network. - Benjamin J. Radford, Bartley D. Richardson, Shawn E. Davis:
Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic. - Amanda Prorok:
Graph Neural Networks for Learning Robot Team Coordination. - Benedikt Ahrens, André Hirschowitz, Ambroise Lafont, Marco Maggesi:
High-level signatures and initial semantics. - Lin Chen, Lei Xu, Weidong Shi:
On the Graver basis of block-structured integer programming. - Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. - Brian Delgado, Karen L. Karavanic:
EPA-RIMM: A Framework for Dynamic SMM-based Runtime Integrity Measurement. - Vladimir Braverman, Petros Drineas, Cameron Musco, Christopher Musco, Jalaj Upadhyay, David P. Woodruff, Samson Zhou:
Near Optimal Linear Algebra in the Online and Sliding Window Models. - Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. - Fan Bu:
The Evolution of Popularity and Images of Characters in Marvel Cinematic Universe Fanfictions. - Yoseob Han, Jong Chul Ye:
k-Space Deep Learning for Accelerated MRI. - Kevin K. Bowden, JiaQi Wu, Shereen Oraby, Amita Misra, Marilyn A. Walker:
SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems. - Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar:
Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities. - Zhiwen Luo, Guohui Li, Junfeng Du, Jieping Wu:
Dust concentration vision measurement based on moment of inertia in gray level-rank co-occurrence matrix. - Umberto Martínez-Peñas, Frank R. Kschischang:
Reliable and Secure Multishot Network Coding using Linearized Reed-Solomon Codes. - Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang:
hyperdoc2vec: Distributed Representations of Hypertext Documents. - Daniel Cohen, Liu Yang, W. Bruce Croft:
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. - Mina Henein, Gerard Kennedy, Viorela Ila, Robert E. Mahony:
Simultaneous Localization and Mapping with Dynamic Rigid Objects. - Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. - Amichai Painsky, Gregory W. Wornell:
On the Universality of the Logistic Loss Function. - Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs. - Yundi Wu, Jie Xu, Ling Qiu:
UAV-Enabled Wireless Power Transfer with Directional Antenna: A Two-User Case. - Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré:
Training Classifiers with Natural Language Explanations. - Bechir Hamdaoui, Bassem Khalfi, Mohsen Guizani:
Compressed Wideband Spectrum Sensing: Concept, Challenges and Enablers. - Daniel Cullina, Prateek Mittal, Negar Kiyavash:
Fundamental Limits of Database Alignment. - Soumya Wadhwa, Varsha Embar, Matthias Grabmair, Eric Nyberg:
Towards Inference-Oriented Reading Comprehension: ParallelQA. - Wei Zou, Dongwei Jiang, Shuaijiang Zhao, Xiangang Li:
A comparable study of modeling units for end-to-end Mandarin speech recognition. - Jouni Sirén, Erik Garrison, Adam M. Novak, Benedict Paten, Richard Durbin:
Haplotype-aware graph indexes. - Zhi-Xiu Ye, Zhen-Hua Ling:
Hybrid semi-Markov CRF for Neural Sequence Labeling. - Beau Johnston, Josh Milthorpe:
Dwarfs on Accelerators: Enhancing OpenCL Benchmarking for Heterogeneous Computing Architectures. - Saya Onoue, Hideaki Hata, Raula Gaikovina Kula, Kenichi Matsumoto:
Human Capital in Software Engineering: A Systematic Mapping of Reconceptualized Human Aspect Studies. - Jeremy Seligman, Yanjing Wang:
Call Me by Your Name: Epistemic Logic with Assignments and Non-rigid Names. - Lu Sheng, Ziyi Lin, Jing Shao, Xiaogang Wang:
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration. - Irit Dinur, Pasin Manurangsi:
ETH-Hardness of Approximating 2-CSPs and Directed Steiner Network. - Naima Otberdout, Anis Kacem, Mohamed Daoudi, Lahoucine Ballihi, Stefano Berretti:
Deep Covariance Descriptors for Facial Expression Recognition. - Chenxing Li, Peilun Li, Wei Xu, Fan Long, Andrew Chi-Chih Yao:
Scaling Nakamoto Consensus to Thousands of Transactions per Second. - Ilias Chalkidis, Ion Androutsopoulos, Achilleas Michos:
Obligation and Prohibition Extraction Using Hierarchical RNNs. - (Withdrawn) LSTM-Based Facial Performance Capture Using Embedding Between Expressions.
- Wei Xia, Roland H. C. Yap:
Learning Robust Search Strategies Using a Bandit-Based Approach. - Aji Resindra Widya, Akihiko Torii, Masatoshi Okutomi:
Structure-from-Motion using Dense CNN Features with Keypoint Relocalization. - Niel Chah:
OK Google, What Is Your Ontology? Or: Exploring Freebase Classification to Understand Google's Knowledge Graph. - Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. - Xiaoyi He, Qiang Hu, Xintong Han, Xiaoyun Zhang, Chongyang Zhang, Weiyao Lin:
Enhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network. - Gabriel Moyà Alcover, Antoni Jaume-i-Capó, Javier Varona:
Dealing with sequences in the RGBDT space. - Furu Wei:
Improv Chat: Second Response Generation for Chatbot. - Joan Serrà, Santiago Pascual, Alexandros Karatzoglou:
Towards a universal neural network encoder for time series. - Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li:
Ensemble Soft-Margin Softmax Loss for Image Classification. - Julien Destombes, Andrei E. Romashchenko:
Resource-Bounded Kolmogorov Complexity Provides an Obstacle to Soficness of Multidimensional Shifts. - Ugo Dal Lago, Gabriele Vanoni:
On Randomised Strategies in the λ-Calculus (Long Version). - Paolo Cifariello, Paolo Ferragina, Marco Ponza:
WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking. - Marta Garcia-Gasulla, Guillaume Houzeaux, Roger Ferrer, Antoni Artigues, Víctor López, Jesús Labarta, Mariano Vázquez:
MPI+X: task-based parallelization and dynamic load balance of finite element assembly. - Veit Elser, Dan Schmidt, Jonathan S. Yedidia:
Monotone Learning with Rectifier Networks. - Fukuhito Ooshita, Sébastien Tixeuil:
Ring Exploration with Myopic Luminous Robots. - Zhen Long, Yipeng Liu, Longxi Chen, Ce Zhu:
Low Rank Tensor Completion for Multiway Visual Data. - Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu:
Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency. - Kemal Guner, Tevfik Kosar:
Energy-Efficient Mobile Network I/O. - Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma:
Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network. - Morteza Varasteh, Borzoo Rassouli, Hamdi Joudeh, Bruno Clerckx:
SWIPT Signalling over Complex AWGN Channels with Two Nonlinear Energy Harvester Models. - Svenja Schoeder, Katharina Kormann, Wolfgang A. Wall, Martin Kronbichler:
Efficient Explicit Time Stepping of High Order Discontinuous Galerkin Schemes for Waves. - Min Liu, Tobi Delbrück:
ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors. - Junyang Lin, Xu Sun, Shuming Ma, Qi Su:
Global Encoding for Abstractive Summarization. - Yotam M. Y. Feldman, Constantin Enea, Adam Morrison, Noam Rinetzky, Sharon Shoham:
Order out of Chaos: Proving Linearizability Using Local Views. - Bernhard Japes, Jennifer Mack, Florian Rist, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping. - Graham H. Norton:
On the Annihilator Ideal of an Inverse Form. A Simplification. - Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula:
Dense and Diverse Capsule Networks: Making the Capsules Learn Better. - Stefano Crespi-Reghizzi, Pierluigi San Pietro:
Non-erasing Chomsky-Sch{ü}tzenberger theorem with grammar-independent alphabet. - Enis Afgan, Andrew Lonie, James Taylor, Nuwan Goonasekera:
CloudLaunch: Discover and Deploy Cloud Applications. - (Withdrawn) A Unified Knowledge Representation and Context-aware Recommender System in Internet of Things.
- Zheng Li, Sheng Yang, Thierry Clessienne:
Exploiting Location Information to Enhance Throughput in Downlink V2I Systems. - Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig:
Automatic Estimation of Simultaneous Interpreter Performance. - Mert Al, Thee Chanyaswad, Sun-Yuan Kung:
Supervising Nyström Methods via Negative Margin Support Vector Selection. - Dimitar Dimitrov, Florian Lemmerich, Fabian Flöck, Markus Strohmaier:
Query for Architecture, Click through Military: Comparing the Roles of Search and Navigation on Wikipedia. - Alan L. Yuille, Chenxi Liu:
Deep Nets: What have they ever done for Vision? - Michael Wray, Davide Moltisanti, Dima Damen:
Towards an Unequivocal Representation of Actions. - Zheng Huai, Guoquan Huang:
Robocentric Visual-Inertial Odometry. - José Camacho-Collados, Mohammad Taher Pilehvar:
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning. - Bingzhen Wei, Xuancheng Ren, Xu Sun, Yi Zhang, Xiaoyan Cai, Qi Su:
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency. - Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. - Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov:
Inference Attacks Against Collaborative Learning. - Zackory Erickson, Nathan Luskey, Sonia Chernova, Charles C. Kemp:
Classification of Household Materials via Spectroscopy. - Jean Cardinal, Erik D. Demaine, David Eppstein, Robert A. Hearn, Andrew Winslow:
Reconfiguration of Satisfying Assignments and Subset Sums: Easy to Find, Hard to Connect. - Julian Dolby, Avraham Shinnar, Allison Allain, Jenna M. Reinen:
Ariadne: Analysis for Machine Learning Program. - Yi-Jun Chang:
Energy Complexity of Distance Computation in Multi-hop Networks. - A. Nagalakshmi, Ch. Sirisha, D. N. Madhusudana Rao:
Hybrid CMOS-CNFET based NP dynamic Carry Look Ahead Adder. - Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, Kostas Daniilidis:
Learning to Estimate 3D Human Pose and Shape from a Single Color Image. - Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis:
Ordinal Depth Supervision for 3D Human Pose Estimation. - Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros:
Fighting Fake News: Image Splice Detection via Learned Self-Consistency. - Alberto Giaretta, Michele De Donno, Nicola Dragoni:
Adding Salt to Pepper: A Structured Security Assessment over a Humanoid Robot. - Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan:
Arbitrary Style Transfer with Deep Feature Reshuffle. - Mohamed Adel Attia, Deepak Kumar, Ravi Tandon:
The Capacity of Private Information Retrieval from Uncoded Storage Constrained Databases. - Rodrigo Lopez-Pablos, Horacio D. Kuna:
A Proposal for Outlier and Noise Detection in Public Officials' Affidavits. - Rico Zenklusen:
A 1.5-Approximation for Path TSP. - Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang:
Boosting up Scene Text Detectors with Guided CNN. - Suman Saha, Rajitha Navarathna, Leonhard Helminger, Romann M. Weber:
Unsupervised Deep Representations for Learning Audience Facial Behaviors. - Kfir Aberman, Jing Liao, Mingyi Shi, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or:
Neural Best-Buddies: Sparse Cross-Domain Correspondence. - Assia Benbihi, Matthieu Geist, Cédric Pradalier:
Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation. - Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. - Venkatesan Guruswami, Andrii Riazanov:
Beating Fredman-Komlós for perfect k-hashing. - J. Ian Munro, Sebastian Wild:
Nearly-Optimal Mergesorts: Fast, Practical Sorting Methods That Optimally Adapt to Existing Runs. - Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich:
Computational Social Choice Meets Databases. - Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. - Hayden Schaeffer, Giang Tran, Rachel A. Ward, Linan Zhang:
Extracting structured dynamical systems using sparse optimization with very few samples. - Keren Censor-Hillel, Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Erasure Correction for Noisy Radio Networks. - Diu Khue Luu, Anh Tuan Nguyen, Zhi Yang:
Achieving Super-Resolution with Redundant Sensing. - Minjie Wang, Chien-Chin Huang, Jinyang Li:
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling. - Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Joint Embedding of Words and Labels for Text Classification. - Chaitanya Nagpal, Shiv Ram Dubey:
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing. - Kelsey Horan, Delaram Kahrobaei:
The Hidden Subgroup Problem and Post-quantum Group-based Cryptography. - Laurent Bako, Vincent Andrieu:
On the tightest interval-valued state estimator for linear systems. - Mattia Antonino Di Gangi, Marcello Federico:
Deep Neural Machine Translation with Weakly-Recurrent Units. - Diodato Ferraioli, Adrian Meier, Paolo Penna, Carmine Ventre:
On the approximation guarantee of obviously strategyproof mechanisms. - Amin Salehi, Mert Ozer, Hasan Davulcu:
Sentiment-driven Community Profiling and Detection on Social Media. - Cong Feng, Mingjian Cui, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang:
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending. - Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. - Beau Johnston, Josh Milthorpe:
AIWC: OpenCL based Architecture Independent Workload Characterisation. - Vicente Iván Sánchez Carmona, Jeff Mitchell, Sebastian Riedel:
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. - Chia-Chi Li, Behnam Dezfouli:
ProCal: A Low-Cost and Programmable Calibration Tool for IoT Devices. - Yuan Fu, Hu Wang, Meng-Zhu Yang:
An Adaptive Population Size Differential Evolution with Novel Mutation Strategy for Constrained Optimization. - Terra Blevins, Omer Levy, Luke Zettlemoyer:
Deep RNNs Encode Soft Hierarchical Syntax. - Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. - Shawn Gu, Tijana Milenkovic:
Graphlets versus node2vec and struc2vec in the task of network alignment. - Jérémy Barbay, Pablo Pérez-Lantero, Javiel Rojas-Ledesma:
Computing Coverage Kernels Under Restricted Settings. - Yun Jiang, Ning Tan:
Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks. - Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. - Poorya Zaremoodi, Gholamreza Haffari:
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach. - Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian D. Reid:
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors. - Tomohiko Mizutani:
Convex Programming Based Spectral Clustering. - Moshiur R. Farazi, Salman H. Khan:
Reciprocal Attention Fusion for Visual Question Answering. - Ben Taylor, Vicent Sanz Marco, Willy Wolff, Yehia Elkhatib, Zheng Wang:
Adaptive Selection of Deep Learning Models on Embedded Systems. - Lisa A. Chalaguine, Anthony Hunter, Henry W. W. Potts, Fiona L. Hamilton:
Argument Harvesting Using Chatbots. - Simon Thompson:
Proceedings Sixth Workshop on Trends in Functional Programming in Education, TFPIE@TFP 2017, Canterbury, Kent UK, 22 June 2017. EPTCS 270, 2018 [contents] - Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. - Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, Chu-Song Chen:
Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model. - Martin Kleppmann, Victor B. F. Gomes, Dominic P. Mulligan, Alastair R. Beresford:
OpSets: Sequential Specifications for Replicated Datatypes (Extended Version). - Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. - Feng Tian:
Scripting Relational Database Engine Using Transducer. - Marco Giordani, Michele Polese, Arnab Roy, Douglas R. Castor, Michele Zorzi:
Standalone and Non-Standalone Beam Management for 3GPP NR at mmWaves. - Lei Cui, Furu Wei, Ming Zhou:
Neural Open Information Extraction. - Marco Giordani, Andrea Zanella, Takamasa Higuchi, Onur Altintas, Michele Zorzi:
Performance Study of LTE and mmWave in Vehicle-to-Network Communications. - Hanqing Zhao, Yuehan Luo:
An O(N) Sorting Algorithm: Machine Learning Sorting. - Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli:
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. - Eneko Agirre, Oier López de Lacalle, Aitor Soroa:
The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD. - Oded Leiba, Yechiav Yitzchak, Ron Bitton, Asaf Nadler, Asaf Shabtai:
Incentivized Delivery Network of IoT Software Updates Based on Trustless Proof-of-Distribution. - Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. - Martina Mammarella, Elisa Capello:
A Tube-based Robust MPC for a Fixed-wing UAV: an Application for Precision Farming. - Marc Leinweber, Hannes Hartenstein, Philipp Andelfinger:
Enabling Cross-Event Optimization in Discrete-Event Simulation Through Compile-Time Event Batching. - Zhi Yang, Lai Zhou, Guangyue Zhao, Shidong Zhou:
Blockage Modeling for Inter-layer UAVs Communications in Urban Environments. - Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu:
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. - Dániel Berényi, András Leitereg, Gábor Lehel:
Towards scalable pattern-based optimization for dense linear algebra. - Zhi Yang, Lai Zhou, Guangyue Zhao, Shidong Zhou:
Channel Model in Urban Environment for Unmanned Aerial Vehicle Communications. - Chih-Hong Cheng, Chung-Hao Huang, Hirotoshi Yasuoka:
Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems. - Ramy E. Ali, Viveck R. Cadambe, Jaime Llorca, Antonia M. Tulino:
Multi-version Coding with Side Information. - Simone Santini:
Semiotic internationalization and localization of computer programs. - Chunlei Xu, Vincent Schellekens, Laurent Jacques:
Taking the edge off quantization: projected back projection in dithered compressive sensing. - Michele Polese, Marco Giordani, Arnab Roy, Douglas R. Castor, Michele Zorzi:
Distributed Path Selection Strategies for Integrated Access and Backhaul at mmWaves. - Xiang Zhang, Athanasios S. Polydoros, Justus H. Piater:
Learning Movement Assessment Primitives for Force Interaction Skills. - Anja Petri, Christian Schindler, Wolfgang Slany, Bernadette Spieler:
Game Design with Pocket Code: Providing a Constructionist Environment for Girls in the School Context. - Cheng Zhan, Yong Zeng, Rui Zhang:
Trajectory Design for Distributed Estimation in UAV Enabled Wireless Sensor Network. - Bernadette Spieler, Wolfgang Slany:
Female Teenagers and Coding: Create Gender Sensitive and Creative Learning Environments. - Fedor V. Fomin, Petr A. Golovach, Dimitrios M. Thilikos:
On the Parameterized Complexity of Graph Modification to First-Order Logic Properties. - Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan:
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks. - Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. - Alban Laflaquière:
A Sensorimotor Perspective on Grounding the Semantic of Simple Visual Features. - Sabarinath Mahadevan, Paul Voigtlaender, Bastian Leibe:
Iteratively Trained Interactive Segmentation. - Makoto Kanazawa, Tobias Kappé:
Decision problems for Clark-congruential languages. - Lai Zhou, Zhi Yang, Shidong Zhou, Wei Zhang:
Coverage Probability Analysis of UAV Cellular Networks in Urban Environments. - Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. - Parikshit Maini, Kaarthik Sundar, Sivakumar Rathinam, P. B. Sujit:
Cooperative Planning for Fuel-constrained Aerial Vehicles and Ground-based Refueling Vehicles for Large-Scale Coverage. - Le Pham Tuyen, Ngo Anh Vien, Md. Abu Layek, TaeChoong Chung:
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. - Amara Dinesh Kumar:
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks. - Mohamed Allaoui, Aurélien Goudjo:
A new class of curves of rational B-spline type. - Wei Chen, Shang-Hua Teng, Hanrui Zhang:
Capturing Complementarity in Set Functions by Going Beyond Submodularity/Subadditivity. - Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-lingual Document Retrieval using Regularized Wasserstein Distance. - Jordi Paillisse, Miquel Ferriol, Eric Garcia, Hamid Latif, Carlos Piris, Albert Lopez-Bresco, Brenden Kuerbis, Alberto Rodríguez-Natal, Vina Ermagan, Fabio Maino, Albert Cabellos:
IPchain: Securing IP Prefix Allocation and Delegation with Blockchain. - Mansour Khelghatdoust, Vincent Gramoli:
Peacock: Probe-Based Scheduling of Jobs by Rotating Between Elastic Queues. - Nicholas Ruiz, Srinivas Bangalore, John Chen:
Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation. - Bernadette Spieler, Wolfgang Slany:
Game Development-Based Learning Experience: Gender Differences in Game Design. - Helen Boulton, Bernadette Spieler, Anja Petri, Christian Schindler, Wolfgang Slany, María Eugénia Beltrán:
The role of game jams in developing informal learning of computational thinking: a cross-european case study. - Bernadette Spieler, Anja Petri, Christian Schindler, Wolfgang Slany, Maria Betran, Helen Boulton, Eugenio Gaeta, Jonathan Smith:
Pocket Code: a mobile app for game jams to facilitate classroom learning through game creation. - Anja Petri, Christian Schindler, Wolfgang Slany, Bernadette Spieler, Jonathan Smith:
Pocket Game Jams: a Constructionist Approach at Schools. - Bernadette Spieler, Christian Schindler, Wolfgang Slany, Olena Mashkina:
App creation in schools for different curricula subjects - lesson learned. - Mark Santolucito, Jialu Zhang, Ennan Zhai, Ruzica Piskac:
Statically Verifying Continuous Integration Configurations. - Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Non-Stationary Texture Synthesis by Adversarial Expansion. - Zhaodong Wang, Matthew E. Taylor:
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration. - Rebekah Overdorf, Carmela Troncoso, Rachel Greenstadt, Damon McCoy:
Under the Underground: Predicting Private Interactions in Underground Forums. - Tiep Minh Hoang, Hien Quoc Ngo, Trung Quang Duong, Hoang Duong Tuan, Alan Marshall:
Cell-free Massive MIMO Networks: Optimal Power Control against Active Eavesdropping. - Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation. - Svetlana Kiritchenko, Saif M. Mohammad:
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. - Steven M. Radil, Olivier J. Walther:
Social networks and geography: a view from the periphery. - Sayeh Sharify, Mostafa Mahmoud, Alberto Delmas Lascorz, Milos Nikolic, Andreas Moshovos:
Laconic Deep Learning Computing. - Kenny Young, Baoxiang Wang, Matthew E. Taylor:
Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control. - Peng Huang, Atreyi Kankanhalli, Harris Kyriakou, Rajiv Sabherwal:
Research Curation on Knowledge Management. - Bernadette Spieler, Christian Schindler, Wolfgang Slany, Olena Mashkina, María Eugénia Beltrán, Helen Boulton, David J. Brown:
Evaluation of Game Templates to support Programming Activities in Schools. - Svetlana Kiritchenko, Saif M. Mohammad:
Sentiment Composition of Words with Opposing Polarities. - Christian Konrad, Viktor Zamaraev:
Distributed Minimum Vertex Coloring and Maximum Independent Set in Chordal Graphs. - Timo Hanke, Mahnush Movahedi, Dominic Williams:
DFINITY Technology Overview Series, Consensus System. - Rudra P. K. Poudel, Ujwal Bonde, Stephan Liwicki, Christopher Zach:
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time. - Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. - Soheil Ghafurian, Peter Orth, Corey Strickland, Hua Su, Sangita Patel, Steven Soisson, Belma Dogdas:
Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures. - Christian Thériault, Fernanda Pérez-Gay, Dan Rivas, Stevan Harnad:
Learning-induced categorical perception in a neural network model. - Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig:
Neural Factor Graph Models for Cross-lingual Morphological Tagging. - Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation. - Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen:
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization. - Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. - Divyanshu Daiya, Anukarsh Singh, Mukesh K. Jadon:
Using Statistical and Semantic Models for Multi-Document Summarization. - Huu-Vu Nguyen, Tayssir Touili:
Branching Temporal Logic of Calls and Returns for Pushdown Systems. - Petra Berenbrink, Robert Elsässer, Tom Friedetzky, Dominik Kaaser, Peter Kling, Tomasz Radzik:
Majority & Stabilization in Population Protocols. - Akash Bapat, Jan-Michael Frahm:
The Domain Transform Solver. - Arunesh Mathur, Nathan Malkin, Marian Harbach, Eyal Péer, Serge Egelman:
Quantifying Users' Beliefs about Software Updates. - Andreas Doering, Umar Iqbal, Juergen Gall:
Joint Flow: Temporal Flow Fields for Multi Person Tracking. - Sarah Cannon, Joshua J. Daymude, Cem Gokmen, Dana Randall, Andréa W. Richa:
A Local Stochastic Algorithm for Separation in Heterogeneous Self-Organizing Particle Systems. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. - Li Dong, Chris Quirk, Mirella Lapata:
Confidence Modeling for Neural Semantic Parsing. - Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. - Jonathan Zarecki, Shaul Markovitch:
Textual Membership Queries. - Sung-Il Pae:
Peres-Style Recursive Algorithms. - Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Twitter User Geolocation using Deep Multiview Learning. - Yan Zhou, Murat Kantarcioglu, Bowei Xi:
Breaking Transferability of Adversarial Samples with Randomness. - Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. - Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. - Himanshu Tyagi, Shun Watanabe:
Strong Converse using Change of Measure Arguments. - Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. - Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-aware Spatial Context Features for Shadow Detection and Removal. - Régine Laleau, Dominique Méry, Shin Nakajima, Elena Troubitsyna:
Proceedings Joint Workshop on Handling IMPlicit and EXplicit knowledge in formal system development (IMPEX) and Formal and Model-Driven Techniques for Developing Trustworthy Systems (FM&MDD), IMPEX/FM&MDD 2017, Xi'an, China, 16th November 2017. EPTCS 271, 2018 [contents] - Jun Long, Lei Zhu, Chengyuan Zhang, Shuangqiao Lin, Zhan Yang, Xinpan Yuan:
HOC-Tree: A Novel Index for efficient Spatio-temporal Range Search. - Christiano Braga:
Compiler Construction with Basic Programming Languages Constructs and Generalized Interpreting Automata. - Santi J. Vives:
Bitcoin With Heterogeneous Block Sizes: A Scaling Proposal. - Sudha Rao, Hal Daumé III:
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. - Magnus Westerlund, Nane Kratzke:
Towards Distributed Clouds. - Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. - Filip Klubicka, Raquel Fernández:
Examining a hate speech corpus for hate speech detection and popularity prediction. - Hirofumi Tsuda, Ken Umeno:
Randomization Approaches for Reducing PAPR with Partial Transmit Sequences and Semidefinite Relaxation. - Shweta Bhardwaj, Mitesh M. Khapra:
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames. - Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Eduard H. Hovy:
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples. - Tommaso Pasini, Francesco Maria Elia, Roberto Navigli:
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation. - Xiaojian Ma, Mingxuan Jing, Fuchun Sun, Huaping Liu:
Adversarial Task Transfer from Preference. - Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. - Yanpeng Zhao, Liwen Zhang, Kewei Tu:
Gaussian Mixture Latent Vector Grammars. - Sandeep Subramanian, Soumen Chakrabarti:
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations. - François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia A. Tomashenko, Yannick Estève:
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation. - Eleni C. Akrida, George B. Mertzios, Paul G. Spirakis:
The temporal explorer who returns to the base. - Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis, Klaus D. McDonald-Maier:
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images. - Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. - Mingda Qiao:
Do Outliers Ruin Collaboration? - Paolo Santini, Marco Baldi, Giovanni Cancellieri, Franco Chiaraluce:
Hindering reaction attacks by using monomial codes in the McEliece cryptosystem. - Nicollas M. Sdroievski, Murilo V. G. da Silva, André Luís Vignatti:
An Indexing for Quadratic Residues Modulo N and a Non-uniform Efficient Decoding Algorithm. - Dongrui Wu:
Pool-Based Sequential Active Learning for Regression. - Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. - Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. - James Tapsell, Raja Naeem Akram, Konstantinos Markantonakis:
Consumer Centric Data Control, Tracking and Transparency - A Position Paper. - Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization. - Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
A Cognitive Approach to Real-time Rescheduling using SOAR-RL. - Jorge A. Palombarini, Juan Cruz Barsce, Ernesto C. Martínez:
Generating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture. - Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro, Felipe Jorquera:
Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo. - Mohsen Ghaffari, Jason Li:
New Distributed Algorithms in Almost Mixing Time via Transformations from Parallel Algorithms. - Rayan Chikhi, Vladan Jovicic, Stefan Kratsch, Paul Medvedev, Martin Milanic, Sofya Raskhodnikova, Nithin Varma:
Bipartite Graphs of Small Readability. - Alejandro Noriega Campero, Abdullah Almaatouq, Peter M. Krafft, Abdulrahman Alotaibi, Mehdi Moussaïd, Alex Pentland:
The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence. - Kyriakos K. Ispoglou, Bader AlBassam, Trent Jaeger, Mathias Payer:
Block Oriented Programming: Automating Data-Only Attacks. - Mohamed F. Marzban, Ahmed El Shafie, Naofal Al-Dhahir, Ridha Hamila:
Security-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret-Key Aided Schemes. - Seonwook Park, Xucong Zhang, Andreas Bulling, Otmar Hilliges:
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings. - Alexander Hicks, Vasilios Mavroudis, Mustafa Al-Bassam, Sarah Meiklejohn, Steven J. Murdoch:
VAMS: Verifiable Auditing of Access to Confidential Data. - Hamdi Joudeh, Bruno Clerckx:
On the Optimality of Treating Interference as Noise for Interfering Multiple Access Channels. - Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel:
Program Generation for Small-Scale Linear Algebra Applications. - Alkida Balliu, Sebastian Brandt, Dennis Olivetti, Jukka Suomela:
Almost Global Problems in the LOCAL Model. - Marvin T. T. Teichmann, Roberto Cipolla:
Convolutional CRFs for Semantic Segmentation. - Assaf Yifrach, Yishay Mansour:
Fair Leader Election for Rational Agents in Asynchronous Rings and Networks. - Panagiota Fatourou, Eric Ruppert:
Persistent Non-Blocking Binary Search Trees Supporting Wait-Free Range Queries. - Andrea Zonca, Robert S. Sinkovits:
Deploying Jupyter Notebooks at scale on XSEDE for Science Gateways and workshops. - Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. - Luheng He, Kenton Lee, Omer Levy, Luke Zettlemoyer:
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. - Dingzeyu Li, Timothy R. Langlois, Changxi Zheng:
Scene-Aware Audio for 360\textdegree{} Videos. - Li Dong, Mirella Lapata:
Coarse-to-Fine Decoding for Neural Semantic Parsing. - Aras Atalar, Paul Renaud-Goud, Philippas Tsigas:
Lock-Free Search Data Structures: Throughput Modelling with Poisson Processes. - Niall Martin Ryan:
Citation Data-set for Machine Learning Citation Styles and Entity Extraction from Citation Strings. - Tiancheng Zhao, Maxine Eskénazi:
Zero-Shot Dialog Generation with Cross-Domain Latent Actions. - Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song:
Curriculum Adversarial Training. - Jinyuan Jia, Neil Zhenqiang Gong:
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. - Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma:
Triangular Architecture for Rare Language Translation. - Shreyas Gokhale, Neeraj Mittal:
Fast and Scalable Group Mutual Exclusion. - Xiaochen Li, He Jiang, Zhilei Ren, Ge Li, Jingxuan Zhang:
Deep Learning in Software Engineering. - Qi Wang, Tong Ruan, Yangming Zhou, Chenming Xu, Daqi Gao, Ping He:
An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities. - Hojjat Seyed Mousavi:
Enhanced Signal Recovery via Sparsity Inducing Image Priors. - Alexander Amini, Ava Soleimany, Sertac Karaman, Daniela Rus:
Spatial Uncertainty Sampling for End-to-End Control. - David Doty, Mahsa Eftekhari, Othon Michail, Paul G. Spirakis, Michail Theofilatos:
Exact size counting in uniform population protocols in nearly logarithmic time. - Angela Fan, Mike Lewis, Yann N. Dauphin:
Hierarchical Neural Story Generation. - Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. - Yang Cao, Zeyu Xu, Peng Qin, Tao Jiang:
Video Processing on the Edge for Multimedia IoT Systems. - Artur Czumaj, Peter Davies:
Deterministic Blind Radio Networks. - Aryaz Eghbali, Philipp Woelfel:
An Almost Tight RMR Lower Bound for Abortable Test-And-Set. - Artur Czumaj, Peter Davies:
Randomized Communication Without Network Knowledge. - Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. - Omer Shwartz, Amir Cohen, Asaf Shabtai, Yossi Oren:
Shattered Trust: When Replacement Smartphone Components Attack. - Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling For Facial Expression Recognition. - Aikaterini Nikolidaki:
SPAIDS and OAMS Models in Wireless Ad Hoc Networks. - Amir Ban:
Strategy-Proof Incentives for Predictions. - Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang:
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. - Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin:
Bag-of-Words as Target for Neural Machine Translation. - Shuo Zhang, Krisztian Balog:
On-the-fly Table Generation. - Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. - Rui Xu, Chi Cheng, Yue Qin, Tao Jiang:
Lighting the Way to a Smart World: Lattice-Based Cryptography for Internet of Things. - Georgios A. Tritsaris, Afreen Siddiqi:
Images of collaboration in energy-related Greek research networks. - Nikolay Malitsky, Aashish Chaudhary, Sébastien Jourdain, Matt Cowan, Patrick O'Leary, Marcus D. Hanwell, Kerstin Kleese van Dam:
Building Near-Real-Time Processing Pipelines with the Spark-MPI Platform. - Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. - Dai Zusai:
Distributional stability and deterministic equilibrium selection under heterogeneous evolutionary dynamics. - Dai Zusai:
Heterogeneity and aggregation in evolutionary dynamics: a general framework without aggregability. - Dai Zusai:
Gains in evolutionary dynamics: a unifying approach to stability for contractive games and ESS. - Kazuki Minemura, Hengfui Liau, Abraham Monrroy, Shinpei Kato:
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR. - Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend:
Comprehensive Supersense Disambiguation of English Prepositions and Possessives. - Gail Weiss, Yoav Goldberg, Eran Yahav:
On the Practical Computational Power of Finite Precision RNNs for Language Recognition. - Rajagopal Venkatesaramani, Yevgeniy Vorobeychik:
Community Detection by Information Flow Simulation. - Matthias Függer, Thomas Nowak:
Fast Multidimensional Asymptotic and Approximate Consensus. - Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Emergence and Evolution of Hierarchical Structure in Complex Systems. - Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. - Nathan O. Hodas, Panos Stinis:
Doing the impossible: Why neural networks can be trained at all. - Zhidong Han:
Dyna: A Method of Momentum for Stochastic Optimization. - Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin:
The Global Optimization Geometry of Shallow Linear Neural Networks. - Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin:
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map. - Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis:
Learning Rich Features for Image Manipulation Detection. - Thomas S. Stepleton, Razvan Pascanu, Will Dabney, Siddhant M. Jayakumar, Hubert Soyer, Rémi Munos:
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery. - Moritz Lipp, Misiker Tadesse Aga, Michael Schwarz, Daniel Gruss, Clémentine Maurice, Lukas Raab, Lukas Lamster:
Nethammer: Inducing Rowhammer Faults through Network Requests. - Julian Yarkony, Shaofei Wang:
Accelerating Message Passing for MAP with Benders Decomposition. - Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Deadlines: Preliminary Results. - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning. - Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen:
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage. - Mahsa Salmani, Timothy N. Davidson:
Multiple Access Computational Offloading: Communication Resource Allocation in the Two-User Case (Extended Version). - Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla:
CARL: Content-Aware Representation Learning for Heterogeneous Networks. - Dorit S. Hochbaum:
Algorithms and Complexity of Range Clustering. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach. - Zhaoyang Qiu, Shugeng Chen, Ian Daly, Jie Jia, Xingyu Wang, Jing Jin:
BCI-Based Strategies on Stroke Rehabilitation with Avatar and FES Feedback. - Jon Gauthier, Roger Levy, Joshua B. Tenenbaum:
Word learning and the acquisition of syntactic-semantic overhypotheses. - So-Young Jun, Dinara Aliyeva, Ji-Min Lee, SangKeun Lee:
Utilizing Probase in Open Directory Project-based Text Classification. - Alice Lai, Joel R. Tetreault:
Discourse Coherence in the Wild: A Dataset, Evaluation and Methods. - Suyi Wang, Xu Li, Partha P. Mitra, Yusu Wang:
Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory. - Parinya Ekparinya, Vincent Gramoli, Guillaume Jourjon:
Double-Spending Risk Quantification in Private, Consortium and Public Ethereum Blockchains. - ThaiBinh Nguyen, Kenro Aihara, Atsuhiro Takasu:
Collaborative Item Embedding Model for Implicit Feedback Data. - T. Karthick, Frédéric Maffray:
Square-free graphs with no six-vertex induced path. - Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman:
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories. - Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang:
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing. - Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. J. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang:
Learning Dual Convolutional Neural Networks for Low-Level Vision. - Roland Kluge, Michael Stein, Gergely Varró, Andy Schürr, Matthias Hollick, Max Mühlhäuser:
A Systematic Approach to Constructing Families of Incremental Topology Control Algorithms Using Graph Transformation. - (Withdrawn) Multi-view Common Component Discriminant Analysis for Cross-view Classification.
- Clemens Zeidler, Muhammad Rizwan Asghar:
AuthStore: Password-based Authentication and Encrypted Data Storage in Untrusted Environments. - Martin Längkvist, Amy Loutfi:
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification. - Rishi Relan, Johan Schoukens:
Recursive Discrete-Time Models for Continuous-Time Systems Under Band-Limited Assumptions. - Sunghoon Lee, Jooyoun Park, Jun Heo:
Improved Reconciliation With Polar Codes In Quantum Key Distribution. - Shreya Mishra, Swati Vipsita:
Triclustering of Gene Expression Microarray data using Evolutionary Approach. - Alexander Jung:
A Gentle Introduction to Supervised Machine Learning. - Matías R. Bender, Jean-Charles Faugère, Angelos Mantzaflaris, Elias P. Tsigaridas:
Bilinear systems with two supports: Koszul resultant matrices, eigenvalues, and eigenvectors. - Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Token-level and sequence-level loss smoothing for RNN language models. - Hangting Cao, Jiang Zhu, Zhiwei Xu:
A Two-stage Approach to Estimate CFO and Channel with One-bit ADCs. - Zhongyang Li, Xiao Ding, Ting Liu:
Constructing Narrative Event Evolutionary Graph for Script Event Prediction. - Takuya Watanabe, Eitaro Shioji, Mitsuaki Akiyama, Keito Sasaoka, Takeshi Yagi, Tatsuya Mori:
User Blocking Considered Harmful? An Attacker-controllable Side Channel to Identify Social Accounts. - Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Unsupervised Intuitive Physics from Visual Observations. - Sara Stymne, Miryam de Lhoneux, Aaron Smith, Joakim Nivre:
Parser Training with Heterogeneous Treebanks. - José Lopes, Nils Hemmingsson, Oliver Åstrand:
The Spot the Difference corpus: a multi-modal corpus of spontaneous task oriented spoken interactions. - Tomer Ezra, Michal Feldman, Ilan Nehama:
Prophets and Secretaries with Overbooking. - Duygu Ataman:
Bianet: A Parallel News Corpus in Turkish, Kurdish and English. - Harun Siljak, Irene Macaluso, Nicola Marchetti:
Distributing Complexity: A New Approach to Antenna Selection for Distributed Massive MIMO. - Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang:
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks. - Regev Cohen, Yonina C. Eldar:
Sparse Convolutional Beamforming for Ultrasound Imaging. - Mathias Soeken, Heinz Riener, Winston Haaswijk, Giovanni De Micheli:
The EPFL Logic Synthesis Libraries. - Marco T. Morazán:
Vector Programming Using Structural Recursion. 1-17 - Curtis D'Alves, Tanya Bouman, Christopher Schankula, Jenell Hogg, Levin Noronha, Emily Horsman, Rumsha Siddiqui, Christopher Kumar Anand:
Using Elm to Introduce Algebraic Thinking to K-8 Students. 18-36 - Jeremy Singer, Blair Archibald:
Functional Baby Talk: Analysis of Code Fragments from Novice Haskell Programmers. 37-51 - Stephen Adams:
Teaching Erlang through the Internet: An Experience Report. 52-60 - Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Ge Li:
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. - Olivier Binette:
Note on Reverse Pinsker Inequalities. - Marjorie Bournat, Swan Dubois, Franck Petit:
Gracefully Degrading Gathering in Dynamic Rings. - Henrik Rydén, Sakib Bin Redhwan, Xingqin Lin:
Rogue Drone Detection: A Machine Learning Approach. - Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit:
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. - Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Domain Adaptation with Adversarial Training and Graph Embeddings. - Eduardo Alchieri, Fernando Luís Dotti, Fernando Pedone:
Early Scheduling in Parallel State Machine Replication. - Petra Berenbrink, Robert Elsässer, Tom Friedetzky, Dominik Kaaser, Peter Kling, Tomasz Radzik:
A population protocol for exact majority with O(\log5/3n) stabilization time and asymptotically optimal number of states. - Mario Alonzo, Stefano Buzzi, Alessio Zappone:
Energy-Efficient Downlink Power Control in mmWave Cell-Free and User-Centric Massive MIMO. - Jingjing Xu, Xu Sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li:
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. - Marco Giordani, Michele Polese, Arnab Roy, Douglas R. Castor, Michele Zorzi:
Initial Access Frameworks for 3GPP NR at mmWave Frequencies. - Yun Zeng, Jian Tan, Cathy H. Xia:
Fork and Join Queueing Networks with Heavy Tails: Scaling Dimension and Throughput Limit. - Shovan Maity, Mingxuan He, Mayukh Nath, Debayan Das, Baibhab Chatterjee, Shreyas Sen:
BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication. - Brice Nédelec, Pascal Molli, Achour Mostéfaoui:
Breaking the Scalability Barrier of Causal Broadcast for Large and Dynamic Systems. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing. - Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. - Laxman Dhulipala, Guy E. Blelloch, Julian Shun:
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable. - Albert Zeyer, Tamer Alkhouli, Hermann Ney:
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition. - Diego Díaz-Domínguez, Djamal Belazzougui, Travis Gagie, Veli Mäkinen, Gonzalo Navarro, Simon J. Puglisi:
Assembling Omnitigs using Hidden-Order de Bruijn Graphs. - Gavin Rens, Abhaya Nayak, Thomas Meyer:
Maximizing Expected Impact in an Agent Reputation Network - Technical Report. - José Luis Balcázar, Marie Ely Piceno, Laura Rodríguez-Navas:
Decomposition of quantitative Gaifman graphs as a data analysis tool. - Sen Chen, Guozhu Meng, Ting Su, Lingling Fan, Yinxing Xue, Yang Liu, Lihua Xu, Minhui Xue, Bo Li, Shuang Hao:
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps. - Sabrina Stehwien, Ngoc Thang Vu, Antje Schweitzer:
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection. - Sergey Feldman, Kyle Lo, Waleed Ammar:
Citation Count Analysis for Papers with Preprints. - Sara Ross-Howe, Hamid R. Tizhoosh:
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation. - Long Zhang, Brice Morin, Philipp Haller, Benoit Baudry, Martin Monperrus:
A Chaos Engineering System for Live Analysis and Falsification of Exception-handling in the JVM. - Juliao Braga, João Nuno Silva, Patricia Takako Endo, Jessica Ribas, Nizam Omar:
Blockchain to Improve Security and Knowledge in Inter-Agent Communication and Collaboration over Restrict Domains of the Internet Infrastructure. - Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. - Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva:
Iterative Bounded Distance Decoding of Product Codes with Scaled Reliability. - Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Jean-Pierre Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré:
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization. - Grey Ballard, James Demmel, Laura Grigori, Mathias Jacquelin, Nicholas Knight:
A 3D Parallel Algorithm for QR Decomposition. - Chunchuan Lyu, Ivan Titov:
AMR Parsing as Graph Prediction with Latent Alignment. - Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia:
A Cost-Effective Framework for Preference Elicitation and Aggregation. - Itay Tsabary, Ittay Eyal:
The Gap Game. - Deniz Engin, Anil Genç, Hazim Kemal Ekenel:
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing. - Tina Raissi, Alessandro Tibo, Paolo Bientinesi:
Extended pipeline for content-based feature engineering in music genre recognition. - Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, Dario Taraborelli:
Conversations Gone Awry: Detecting Early Signs of Conversational Failure. - Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Haidong Zhang, Fei Fang:
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. - Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. - Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, Gemma Boleda:
AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library. - Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie:
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection. - Maximilian Naumann, Martin Lauer, Christoph Stiller:
Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic. - Ferdinando Cicalese, Ugo Vaccaro:
Maximum Entropy Interval Aggregations. - Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer:
Large-Scale QA-SRL Parsing. - Neeraj Varshney, Aditya K. Jagannatham, Pramod K. Varshney:
Cognitive MIMO-RF/FSO Cooperative Relay Communication with Mobile Nodes and Imperfect Channel State Information. - Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora:
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. - Krishna Kanth Nakka, Mathieu Salzmann:
Deep Attentional Structured Representation Learning for Visual Recognition. - Felix Bauckholt, Kanstantsin Pashkovich, Laura Sanità:
On the approximability of the stable marriage problem with one-sided ties. - Caroline Q. Cordeiro, Sergio O. Ioshii, Jeovane Honório Alves, Lucas F. Oliveira:
An Automatic Patch-based Approach for HER-2 Scoring in Immunohistochemical Breast Cancer Images Using Color Features. - Weijia Yao, Sha Luo, Huimin Lu, Junhao Xiao:
Distributed Circumnavigation Control with Dynamic Spacings for a Heterogeneous Multi-robot System. - Tongfei Chen, Jirí Navrátil, Vijay S. Iyengar, Karthikeyan Shanmugam:
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes. - Dmitri Garbuzov, William Mansky, Christine Rizkallah, Steve Zdancewic:
Structural Operational Semantics for Control Flow Graph Machines. - Joonas Pesonen, Anna Fomkin, Lauri Jokipii:
Building Data Science Capabilities into University Data Warehouse to Predict Graduation. - Ramesh C. Jain:
A Navigational Approach to Health. - Merav Parter, Eylon Yogev:
Congested Clique Algorithms for Graph Spanners. - Nikita V. Tomin, Victor G. Kurbatsky, Michael Negnevitsky:
The Concept of the Deep Learning-Based System "Artificial Dispatcher" to Power System Control and Dispatch. - L. Jason Anastasopoulos, Andrew B. Whitford:
Machine Learning for Public Administration Research, with Application to Organizational Reputation. - Sekou L. Remy, Oliver Bent, Nelson Bore:
Reshaping the use of digital tools to fight malaria. - T. Ceren Deveci, Serdar Çakir, A. Enis Çetin:
Energy Efficient Hadamard Neural Networks. - George F. Fragulis, Lazaros Lazaridis, Maria Papatsimouli, Ioannis A. Skordas:
O.D.E.S. : An Online Dynamic Examination System based on a CMS Wordpress plugin. - Elise Barelli, Alain Couvreur:
An efficient structural attack on NIST submission DAGS. - Elaheh Fata, Igor Kadota, Ian Schneider:
Comparison of Classical and Nonlinear Models for Short-Term Electricity Price Prediction. - Jinming Wen:
Some Properties of Successive Minima and Their Applications. - Koji M. Kobayashi:
Online interval scheduling to maximize total satisfaction. - Juan José Besa Vial, William E. Devanny, David Eppstein, Michael T. Goodrich, Timothy Johnson:
Quadratic Time Algorithms Appear to be Optimal for Sorting Evolving Data. - Johannes Klaus Fichte, Michael Morak, Markus Hecher, Stefan Woltran:
Exploiting Treewidth for Projected Model Counting and its Limits. - Maartje ter Hoeve, Anne Schuth, Daan Odijk, Maarten de Rijke:
Faithfully Explaining Rankings in a News Recommender System. - Sergey Bereg, Feifei Ma, Wencheng Wang, Jian Zhang, Binhai Zhu:
On the Fixed-Parameter Tractability of Some Matching Problems Under the Color-Spanning Model. - Olivier Lamarre, Jonathan Kelly:
Overcoming the Challenges of Solar Rover Autonomy: Enabling Long-Duration Planetary Navigation. - Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac:
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. - Manish Sharma, Akash Anand, Rupika Srivastava, Lakshmi Kaligounder:
Wearable Audio and IMU Based Shot Detection in Racquet Sports. - Balázs G. Madas, Paul N. Schofield:
Survey on data management in radiation protection research. - Youssef Ifleh, Mohamed Lotfi, Mounime Elkabbouri:
Rethinking value creation from the resource based view: the case of human capital in moroccan hotels. - Johannes Pillmann, Benjamin Sliwa, Christian Wietfeld:
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces. - Davide Frazzetto, Bijay Neupane, Torben Bach Pedersen, Thomas Dyhre Nielsen:
Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices. - Pravallika Devineni, Evangelos E. Papalexakis, Kalina Michalska, Michalis Faloutsos:
MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors. - Umutcan Simsek, Elias Kärle, Dieter Fensel:
Machine Readable Web APIs with Schema.org Action Annotations. - Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri:
H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces. - Curtis Bright, Ilias S. Kotsireas, Albert Heinle, Vijay Ganesh:
Enumeration of Complex Golay Pairs via Programmatic SAT. - Martin Müller, Marcel Salathé:
Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing. - Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? - Nachiket Deo, Mohan M. Trivedi:
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs. - (Withdrawn) Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets.
- Jinshan Pan, Wenqi Ren, Zhe Hu, Ming-Hsuan Yang:
Learning to Deblur Images with Exemplars. - Zahra Shakeri Hossein Abad, Mohammad Noaeen, Didar Zowghi, Behrouz H. Far, Ken Barker:
Two Sides of the Same Coin: Software Developers' Perceptions of Task Switching and Task Interruption. - Zahra Shakeri Hossein Abad, Oliver Karras, Kurt Schneider, Ken Barker, Mike Bauer:
Task Interruption in Software Development Projects: What Makes some Interruptions More Disruptive than Others? - Kaustav Basu, Sandipan Choudhuri, Arunabha Sen, Aniket Majumdar:
Insights from Statistical Analysis of Opioid Data. - Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
Online Deep Metric Learning. - Ahmed Al-Brashdi, Michael J. Butler, Abdolbaghi Rezazadeh:
Incremental Database Design using UML-B and Event-B. 34-47 - Sylvain Conchon, David Declerck, Fatiha Zaïdi:
Parameterized Model Checking Modulo Explicit Weak Memory Models. 48-63 - Dines Bjørner:
Domain Analysis & Description - The Implicit and Explicit Semantics Problem. 1-23 - J. Paul Gibson, Dominique Méry:
Explicit Modelling of Physical Measures: From Event-B to Java. 64-79 - Yamine Aït Ameur, Idir Aït-Sadoune, Kahina Hacid, Linda Mohand-Oussaïd:
Formal Modelling of Ontologies : An Event-B based Approach Using the Rodin Platform. 24-33 - Irum Rauf, Elena Troubitsyna:
Securing Open Source Clouds Using Models. 80-94 - Eduardo dos Santos, Andrew Simpson, Dominik Schoop:
A Formal Model to Facilitate Security Testing in Modern Automotive Systems. 95-104 - Inna Vistbakka, Elena Troubitsyna:
Towards Integrated Modelling of Dynamic Access Control with UML and Event-B. 105-116 - Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. - Panjin Kim, Kyung Chul Jeong, Daewan Han:
Time-Space Complexity of Quantum Search Algorithms in Symmetric Cryptanalysis. - Victoria Kostina, Yuval Peres, Gireeja Ranade, Mark Sellke:
Stabilizing a system with an unbounded random gain using only a finite number of bits. - Tracy Wan, Neil Xu:
Advances in Experience Replay. - Jungsik Hwang, Jun Tani:
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment. - Jing Li, Yan Song, Haisong Zhang, Shuming Shi:
A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems. - Aniket Bera, Tanmay Randhavane, Emily Kubin, Austin Wang, Dinesh Manocha, Kurt Gray:
Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation. - Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille:
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students. - Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed A. Elgharib, Wojciech Matusik:
On Learning Associations of Faces and Voices. - Alexander Patrick Mathews, Lexing Xie, Xuming He:
Simplifying Sentences with Sequence to Sequence Models. - Yue Wu, Qiang Ji:
Facial Landmark Detection: a Literature Survey. - Seiichiro Fukuda, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura:
Cross-connected Networks for Multi-task Learning of Detection and Segmentation. - Imran Shafique Ansari, Mohamed-Slim Alouini, Julian Cheng:
Ergodic Capacity Analysis of Free-Space Optical Links With Nonzero Boresight Pointing Errors. - Imran Shafique Ansari, Ferkan Yilmaz, Mohamed-Slim Alouini:
Performance Analysis of Free-Space Optical Links Over Málaga (𝑀) Turbulence Channels with Pointing Errors. - Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks. - Ya Zhou, Wei Zhou, Ping An, Zhibo Chen:
Visual Comfort Assessment for Stereoscopic Image Retargeting. - Georges-Axel Jaloyan, Yannick Moy, Andrei Paskevich:
Borrowing Safe Pointers from Rust in SPARK. - Emmanuel Sam, Sergey Yarushev, Sebastián Basterrech, Alexey N. Averkin:
Prediction of Facebook Post Metrics using Machine Learning. - Guy E. Blelloch, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
The Parallel Persistent Memory Model. - Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui:
Unsupervised Learning of Style-sensitive Word Vectors. - Bingfeng Luo, Yansong Feng, Zheng Wang, Songfang Huang, Rui Yan, Dongyan Zhao:
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding. - David Demmer, Robin Gerzaguet, Jean-Baptiste Doré, Didier Le Ruyet:
Analytical study of 5G NR eMBB co-existence. - Guy E. Blelloch, Yan Gu, Yihan Sun, Julian Shun:
Parallel Write-Efficient Algorithms and Data Structures for Computational Geometry. - Masaki Asada, Makoto Miwa, Yutaka Sasaki:
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information. - Yuan Cao, Yonglin Cao, Hai Q. Dinh, Fang-Wei Fu, Jian Gao, Songsak Sriboonchitta:
A class of repeated-root constacyclic codes over 𝔽pm[u]/〈ue〉 of Type 2. - Jack W. Stokes, Rakshit Agrawal, Geoff McDonald:
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript. - Wei Teng, Yu Zhang, Xiaowu Chen, Jia Li, Zhiqiang He:
Image Co-segmentation via Multi-scale Local Shape Transfer. - Yiyun Pan, Junwei Zhou, Yongsheng Gao, Shengwu Xiong:
Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization. - Marko Smilevski, Ilija Lalkovski, Gjorgji Madjarov:
Stories for Images-in-Sequence by using Visual and Narrative Components. - Michelangelo Bin, Lorenzo Marconi:
Adaptive Post-Processing Internal Models Design for MIMO Minimum-Phase Nonlinear Systems. - William Schueller, Vittorio Loreto, Pierre-Yves Oudeyer:
Complexity Reduction in the Negotiation of New Lexical Conventions. - Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network for Crowd Counting. - Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley:
MEnet: A Metric Expression Network for Salient Object Segmentation. - Adrian García-Rodríguez, Giovanni Geraci, David López-Pérez, Lorenzo Galati-Giordano, Ming Ding, Emil Björnson:
The Essential Guide to Realizing 5G-Connected UAVs with Massive MIMO. - Yehuda Afek, Yuval Emek, Noa Kolikant:
Selecting a Leader in a Network of Finite State Machines. - Siyuan Liu, Sourav S. Bhowmick, Wanlu Zhang, Shu Wang, Wanyi Huang:
NEURON: An Interactive Natural Language Interface for Understanding Query Execution Plans in RDBMS. - Paul Gainer, Ernst Moritz Hahn, Sven Schewe:
Accelerated Model Checking of Parametric Markov Chains. - Zhenyu Wen, Do Le Quoc, Pramod Bhatotia, Ruichuan Chen, Myungjin Lee:
Approximate Edge Analytics for the IoT Ecosystem. - Zongting Lyu, Yan Yan, Fei Wu:
Distribution-based Label Space Transformation for Multi-label Learning. - Graham Spinks, Marie-Francine Moens:
Generating Continuous Representations of Medical Texts. - Mari Kobayashi, Giuseppe Caire, Gerhard Kramer:
Joint State Sensing and Communication: Optimal Tradeoff for a Memoryless Case. - Tom Hanika, Friedrich Martin Schneider, Gerd Stumme:
Intrinsic dimension and its application to association rules. - Yue Peng, Bailin Deng, Juyong Zhang, Fanyu Geng, Wenjie Qin, Ligang Liu:
Anderson Acceleration for Geometry Optimization and Physics Simulation. - Tae Joon Jun, Dohyeun Kim, Hoang Minh Nguyen, Daeyoung Kim, Youngsub Eom:
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input. - Olivier Bournez, Amaury Pouly:
A Survey on Analog Models of Computation. - Mohammad Alkhatib, Adel Hafiane:
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval. - Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. - Elias Kärle, Umutcan Simsek, Oleksandra Panasiuk, Dieter Fensel:
Building an Ecosystem for the Tyrolean Tourism Knowledge Graph. - Ao Liu, Yun Lu, Lirong Xia, Vassilis Zikas:
How Private Is Your Voting? A Framework for Comparing the Privacy of Voting Mechanisms. - Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann:
Local Saddle Point Optimization: A Curvature Exploitation Approach. - Lucie Martinet, Christophe Crespelle, Eric Fleury, Pierre-Yves Boëlle, Didier Guillemot:
The Link Stream of Contacts in a Whole Hospital. - Thomas Wolf, Julien Chaumond, Clement Delangue:
Continuous Learning in a Hierarchical Multiscale Neural Network. - Jonas Prellberg, Oliver Kramer:
Multi-label Classification of Surgical Tools with Convolutional Neural Networks. - Ariel Rosenfeld, Moshe Cohen, Matthew E. Taylor, Sarit Kraus:
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects. - Vikram Mullachery, Samarth Tiwari:
Online Bandit Linear Optimization: A Study. - Dongrui Wu:
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration. - Tan Do-Duy, Maria Angeles Vázquez-Castro:
Optimal Finite Length Coding Rate of Random Linear Network Coding Schemes. - Kunal Agrawal, Seth Gilbert, Wei Quan Lim:
Parallel Working-Set Search Structures. - Yeonwoo Jeong, Hyun Oh Song:
Efficient end-to-end learning for quantizable representations. - Paolo Bolletta, Massimo Carboni, Andrea Di Peo, Americo Gervasi, Lorenzo Puccio, Gloria Vuagnin:
Alien wavelength technique to enhance garr optical network. - Eric Sillekens, Daniel Semrau, Domaniç Lavery, Polina Bayvel, Robert I. Killey:
Experimental Demonstration of Geometrically-Shaped Constellations Tailored to the Nonlinear Fibre Channel. - Muhammad Junaid Farooq, Quanyan Zhu:
A Multi-Layer Feedback System Approach to Resilient Connectivity of Remotely Deployed Mobile Internet of Things. - Hiroshi Seki, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux, John R. Hershey:
A Purely End-to-end System for Multi-speaker Speech Recognition. - Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz:
Understanding and Controlling User Linkability in Decentralized Learning. - Freya Sheer Hardwick, Raja Naeem Akram, Konstantinos Markantonakis:
Fair and Transparent Blockchain based Tendering Framework - A Step Towards Open Governance. - Jan A. Bergstra, Cornelis A. Middelburg:
On the complexity of the correctness problem for non-zeroness test instruction sequences. - Maxwell Scale Uwadia Osagie, Kingsley O. Obahiagbon, Amanda Iriagbonse Inyang, Joy Amenze Osagie:
Digitalized Responsive Logical Interface Application. - Sébastien Vaucher, Rafael Pires, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Christof Fetzer:
SGX-Aware Container Orchestration for Heterogeneous Clusters. - Zhen Ling, Kaizheng Liu, Yiling Xu, Chao Gao, Yier Jin, Cliff C. Zou, Xinwen Fu, Wei Zhao:
IoT Security: An End-to-End View and Case Study. - Asma Chakri, Rabia Khelif, Mohamed Benouaret, Xin-She Yang:
New directional bat algorithm for continuous optimization problems. - Xin-She Yang:
Social Algorithms. - Joshua R. Loftus, Chris Russell, Matt J. Kusner, Ricardo Silva:
Causal Reasoning for Algorithmic Fairness. - Rodolfo Reyes-Báez, Arjan van der Schaft, Bayu Jayawardhana:
Passivity based distributed tracking control of networked Euler-Lagrange systems. - Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia, Spyros Blanas, Ruichuan Chen, Christof Fetzer, Thorsten Strufe:
Approximate Distributed Joins in Apache Spark. - Jerry Anunrojwong, Nat Sothanaphan:
Naive Bayesian Learning in Social Networks. - Martina Mammarella, Elisa Capello, Fabrizio Dabbene:
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. - Julian Schütte, Gerd Stefan Brost:
LUCON: Data Flow Control for Message-Based IoT Systems. - Wenwu Yang, Nathan Marshak, Daniel Sýkora, Srikumar Ramalingam, Ladislav Kavan:
Building Anatomically Realistic Jaw Kinematics Model from Data. - Xiaowen Cao, Feng Wang, Jie Xu, Rui Zhang, Shuguang Cui:
Cooperative Computation and Communication for Mobile Edge Computing. - Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu:
Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems. - M. A. H. Zahid, Ankush Mittal, Ramesh Chandra Joshi, G. Atluri:
CLINIQA: A Machine Intelligence Based Clinical Question Answering System. - Thomas Hardjono, Alexander Lipton, Alex Pentland:
Towards a Design Philosophy for Interoperable Blockchain Systems. - Daniel R. Jiang, Emmanuel Ekwedike, Han Liu:
Feedback-Based Tree Search for Reinforcement Learning. - Benjamin D. Horne, Sibel Adali:
An Exploration of Verbatim Content Republishing by News Producers. - Xinya Du, Claire Cardie:
Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia. - Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel Jacob Diaz:
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. - (Withdrawn) Crick-net: A Convolutional Neural Network based Classification Approach for Detecting Waist High No Balls in Cricket.
- Kendeas Theofanous:
Dynamic Walkng of Legged Machines. - Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li:
On Reliability of Patch Correctness Assessment. - Nafis Neehal, Dewan Ziaul Karim, Sejuti Banik, Tasfia Anika:
Runtime Optimization of Identification Event in ECG Based Biometric Authentication. - Jan Kucera, Diana Andreea Popescu, Gianni Antichi, Jan Korenek, Andrew W. Moore:
Seek and Push: Detecting Large Traffic Aggregates in the Dataplane. - Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang:
Data Analytics Service Composition and Deployment on Edge Devices. - Mattia Mazzoli, Tullio Re, Roberto Bertilone, Marco Maggiora, Jacopo Pellegrino:
Agent Based Rumor Spreading in a scale-free network. - Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow:
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. - Srihari Pratapa, Dinesh Manocha:
RLFC: Random Access Light Field Compression using Key Views. - Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente:
Do deep reinforcement learning agents model intentions? - Christopher J. Tralie, Matthew Berger:
Topological Eulerian Synthesis of Slow Motion Periodic Videos. - Noah J. Apthorpe, Yan Shvartzshnaider, Arunesh Mathur, Dillon Reisman, Nick Feamster:
Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity. - Nasser Aloufi:
Autonomous Vehicle Scheduling At Intersections Based On Production Line Technique. - Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
String Methods for Stochastic Image and Shape Matching. - Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang, Billie F. Spencer:
Vision-based Automated Bridge Component Recognition Integrated With High-level Scene Understanding. - Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang, Billie F. Spencer Jr.:
Automated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks. - Yaoqing Yang, Malhar Chaudhari, Pulkit Grover, Soummya Kar:
Coded Iterative Computing using Substitute Decoding. - Soheil Hashemi, Hokchhay Tann, Sherief Reda:
BLASYS: Approximate Logic Synthesis Using Boolean Matrix Factorization. - Seyed Amin Pouriyeh, Mehdi Allahyari, Qingxia Liu, Gong Cheng, Hamid Reza Arabnia, Yuzhong Qu, Krys J. Kochut:
Graph-based Ontology Summarization: A Survey. - Grzegorz Grodzki, Henryk Piech:
Strategic analysis of implementation assets and threats. - Xuhang Ying, Milind M. Buddhikot, Sumit Roy:
SAS-Assisted Coexistence-Aware Dynamic Channel Assignment in CBRS Band. - Roy Schwartz, Sam Thomson, Noah A. Smith:
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines. - Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight:
Paper Abstract Writing through Editing Mechanism. - Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson:
Visual Representations for Semantic Target Driven Navigation. - Tarrah R. Glass-Vanderlan, Michael D. Iannacone, Maria S. Vincent, Qian (Guenevere) Chen, Robert A. Bridges:
A Survey of Intrusion Detection Systems Leveraging Host Data. - Grant Fennessy, Yevgeniy Vorobeychik:
Optical Neural Networks. - Jungwook Choi, Zhuo Wang, Swagath Venkataramani, Pierce I-Jen Chuang, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan:
PACT: Parameterized Clipping Activation for Quantized Neural Networks. - Paul Marchwica, Michael Jamieson, Parthipan Siva:
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification. - Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. - Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. - Muddassar Hussain, Nicolò Michelusi:
Energy-Efficient Interactive Beam-Alignment for Millimeter-Wave Networks. - Brett Boston, Zoe Gong, Michael Carbin:
Verifying Programs Under Custom Application-Specific Execution Models. - Tomohiro Hayashi, Kenji Yasunaga:
On the List Decodability of Insertions and Deletions. - Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. - Yang Liu, Prateek Bansal, Ricardo A. Daziano, Samitha Samaranayake:
A Framework to Integrate Mode Choice in the Design of Mobility-on-Demand Systems. - Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis:
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs. - Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li:
Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model. - Di Kang, Antoni B. Chan:
Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid. - Guodong Ding, Shanshan Zhang, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification. - Xiaodan Song, Jiabao Yao, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu:
A practical convolutional neural network as loop filter for intra frame. - Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. - Harbir Antil, Dangxing Chen, Scott E. Field:
A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications. - Preethika Kasu, Taeuk Kim, Youngjae Kim, Jung-Ho Um, Kyongseok Park, Scott Atchley:
FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling. - Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. - Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang:
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. - Prasan A. Shedligeri, Ketul Shah, Dhruv Kumar, Kaushik Mitra:
Photorealistic Image Reconstruction from Hybrid Intensity and Event based Sensor. - Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu:
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension. - Xianfu Chen, Honggang Zhang, Celimuge Wu, Shiwen Mao, Yusheng Ji, Mehdi Bennis:
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning. - Charmin Asirimath, Jayampathy Ratnayake, Chathuranga Weeraddana:
Critical Points to Determine Persistence Homology. - Joshua J. Daymude, Robert Gmyr, Kristian Hinnenthal, Irina Kostitsyna, Christian Scheideler, Andréa W. Richa:
Convex Hull Formation for Programmable Matter. - Pararth Shah, Marek Fiser, Aleksandra Faust, J. Chase Kew, Dilek Hakkani-Tür:
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning. - Tsvi Kopelowitz, Ely Porat, Yair Rosenmutter:
Improved Worst-Case Deterministic Parallel Dynamic Minimum Spanning Forest. - Lutz Bornmann, Werner Marx:
Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics. - Zhongyang Xiao, Kun Jiang, Shichao Xie, Tuopu Wen, Chunlei Yu, Diange Yang:
Monocular Vehicle Self-localization method based on Compact Semantic Map. - Neda Tavakoli, Dong Dai, Yong Chen:
Client-side Straggler-Aware I/O Scheduler for Object-based Parallel File Systems. - Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Zero-Shot Object Detection by Hybrid Region Embedding. - Jukka Ruohonen, Ville Leppänen:
Investigating the Agility Bias in DNS Graph Mining. - Jingpu Duan, Xiaodong Yi, Shixiong Zhao, Chuan Wu, Heming Cui, Franck Le:
NFVactor: A Resilient NFV System using the Distributed Actor Model. - Neda Tavakoli, Dong Dai, John Jenkins, Philip H. Carns, Robert B. Ross, Yong Chen:
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems. - Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier:
Color naming reflects both perceptual structure and communicative need. - Dong Dai, Robert B. Ross, Dounia Khaldi, Yonghong Yan, Matthieu Dorier, Neda Tavakoli, Yong Chen:
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge. - Neda Tavakoli, Yong Chen:
A Software-Defined QoS Provisioning Framework for HPC Applications. - Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. - Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan:
On Computing Average Common Substring Over Run Length Encoded Sequences. - Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Zubair Toor, Ola Spjuth:
KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments. - Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang, Heung-Kyu Lee:
Robust curvelet domain watermarking technique that preserves cleanness of high quality images. - Zhihong Liu, Jiajia Liu, Yong Zeng, Jianfeng Ma, Qiping Huang:
Covert Wireless Communications with Active Eavesdropper on AWGN Channels. - Tristan Vaccon, Thibaut Verron, Kazuhiro Yokoyama:
On Affine Tropical F5 Algorithms. - Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao:
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition. - Rongjunchen Zhang, Xiao Chen, Jianchao Lu, Sheng Wen, Surya Nepal, Yang Xiang:
Using AI to Hack IA: A New Stealthy Spyware Against Voice Assistance Functions in Smart Phones. - Yannick Léo, Christophe Crespelle, Eric Fleury:
Non-Altering Time Scales for Aggregation of Dynamic Networks into Series of Graphs. - Mohammad Ghodsi, Hamed Saleh, Masoud Seddighin:
Fair Allocation of Indivisible Items With Externalities. - Azalea Raad, Ori Lahav, Viktor Vafeiadis:
On the Semantics of Snapshot Isolation. - Xin Li, Huiting Hong, Lin Liu, William K. Cheung:
A Structural Representation Learning for Multi-relational Networks. - Wook-Hyung Kim, Jong-Uk Hou, Seung-Min Mun, Heung-Kyu Lee:
Convolutional Neural Network Architecture for Recovering Watermark Synchronization. - Sosuke Kobayashi:
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations. - Luca Morreale, Andrea Romanoni, Matteo Matteucci:
Predicting the Next Best View for 3D Mesh Refinement. - Pierre Escamilla, Michèle A. Wigger, Abdellatif Zaidi:
Distributed Hypothesis Testing with Concurrent Detections. - Hayato Saigo, Makoto Naruse, Kazuya Okamura, Hirokazu Hori, Izumi Ojima:
Category theory as a foundation for soft robotics. - Erma Perenda, Ramy Atawia, Haris Gacanin:
Artificial Intelligence Inspired Self-Deployment of Wireless Networks. - Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer:
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. - (Withdrawn) On the Significance of Quiescent Protocols for Asynchronous Perfectly Secure Message Transmission.
- Yun Kuen Cheung, Bhaskar Chaudhuri, Jugal Garg, Naveen Garg, Martin Hoefer, Kurt Mehlhorn:
On Fair Division of Indivisible Items. - Abdullah Fahim, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
PSD Estimation and Source Separation in a Noisy Reverberant Environment using a Spherical Microphone Array. - Hossein Ghadiri, Mohammad Reza Fouladi, Arman Rahmim:
An Analysis Scheme for Investigation of Effects of Various Parameters on Signals in Acoustic-Resolution Photoacoustic Microscopy of Mice Brain: a Simulation Study. - Rishi Relan, Koen Tiels, Jean-Marc Timmermans, Johan Schoukens:
A Local Polynomial Approach to Nonparametric Estimation of the Best Linear Approximation of Lithium-Ion Battery From Multiple Datasets. - Fabian Reiter:
Distributed Automata and Logic. - Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. - Erma Perenda, Samurdhi Karunaratne, Ramy Atawia, Haris Gacanin:
Self-X Design of Wireless Networks: Exploiting Artificial Intelligence and Guided Learning. - Ryo Nakahashi, Seiji Yamada:
Modeling Human Inference of Others' Intentions in Complex Situations with Plan Predictability Bias. - Michaël Garcia Ortiz, Alban Laflaquière:
Learning Representations of Spatial Displacement through Sensorimotor Prediction. - Rishi Relan, Koen Tiels, Anna Marconato, Philippe Dreesen, Johan Schoukens:
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record. - Martin Schanzenbach, Georg Bramm, Julian Schütte:
reclaimID: Secure, Self-Sovereign Identities using Name Systems and Attribute-Based Encryption. - Haris Gacanin, Mark Wagner:
Artificial Intelligence Paradigm for Customer Experience Management in Next-Generation Networks: Challenges and Perspectives. - Yijie Dang, Nan Jiang, Hao Hu, Zhuoxiao Ji, Wenyin Zhang:
Image Classification Based on Quantum KNN Algorithm. - Ensar Vahapoglu, Mustafa Altun:
From Stochastic to Bit Stream Computing: Accurate Implementation of Arithmetic Circuits and Applications in Neural Networks. - Alon Berger, Idit Keidar, Alexander Spiegelman:
Integrated Bounds for Disintegrated Storage. - Wan Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, Min Sun:
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss. - Dominik Aumayr, Stefan Marr, Clément Béra, Elisa Gonzalez Boix, Hanspeter Mössenböck:
Efficient and Deterministic Record & Replay for Actor Languages. - Ali Shafti, Ahmad Ataka, Beatriz Urbistondo Lazpita, Ali Shiva, Helge A. Wurdemann, Kaspar Althoefer:
Real-time Robot-assisted Ergonomics. - Abdalla Swikir, Majid Zamani:
Compositional Synthesis of Finite Abstractions for Networks of Systems: A Small-Gain Approach. - Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. - Mario Holldack:
Max-Product for Maximum Weight Matching - Revisited. - Milan Jain:
Energy-Efficient Thermostats for Room-Level Air Conditioning. - Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. - Hidetoshi Furukawa:
SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network. - Lingfeng Zhang, Ioannis A. Kakadiaris:
Fully Associative Patch-based 1-to-N Matcher for Face Recognition. - Saeed Akhoondian Amiri, Szymon Dudycz, Mahmoud Parham, Stefan Schmid, Sebastian Wiederrecht:
Short Schedules for Fast Flow Rerouting. - Jing He, Xin Li, Lejian Liao, William K. Cheung:
Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference. - Qin Zhou, Heng Fan, Hua Yang, Hang Su, Shibao Zheng, Shuang Wu, Haibin Ling:
Robust and Efficient Graph Correspondence Transfer for Person Re-identification. - Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Robust 6D Object Pose Estimation with Stochastic Congruent Sets. - Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. - Lukas Liebel, Marco Körner:
Auxiliary Tasks in Multi-task Learning. - Nagabhushan Eswara, Hemanth P. Sethuram, Soumen Chakraborty, Kiran Kuchi, Abhinav Kumar, Sumohana S. Channappayya:
Modeling Continuous Video QoE Evolution: A State Space Approach. - Rita Hijazi, Amani Sabra, Moustafa Al-Hajj:
Automatic Annotation of Locative and Directional Expressions in Arabic. - Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Elise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria Assunta Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios C. Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth A. Smith, Constantina Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Vincent Auclair, Donald G. McLaren, Allan R. Martin, Michael G. Fehlings, Shahabeddin Vahdat, Ali Khatibi, Julien Doyon, Timothy M. Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad:
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. - Timothy J. O'Shea, Tamoghna Roy, Nathan E. West:
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. - Zhengjun Cao, Lihua Liu:
A Note on "New techniques for noninteractive zero-knowledge". - Shuo Zhang, Vugar Abdul Zada, Krisztian Balog:
SmartTable: A Spreadsheet Program with Intelligent Assistance. - Nuno M. Preguiça, Carlos Baquero, Marc Shapiro:
Conflict-free Replicated Data Types (CRDTs). - Rakesh Mehta, Cemalettin Öztürk:
Object detection at 200 Frames Per Second. - Lance R. Williams:
Towards Complex Artificial Life. - Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior:
Strict Very Fast Decision Tree: a memory conservative algorithm for data stream mining. - Wanjia Liu, Huaijin G. Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel:
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning. - Debanjan Mahata, Jasper Friedrichs, Hitkul, Rajiv Ratn Shah:
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter. - Arturo Argueta, David Chiang:
Composing Finite State Transducers on GPUs. - Mika Göös, Aviad Rubinstein:
Near-Optimal Communication Lower Bounds for Approximate Nash Equilibria. - Martin Schanzenbach, Christian Banse, Julian Schütte:
Practical Decentralized Attribute-Based Delegation using Secure Name Systems. - Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. - Athanasios Vlontzos, Krystian Mikolajczyk:
Deep Segmentation and Registration in X-Ray Angiography Video. - Onur Mutlu, Saugata Ghose, Rachata Ausavarungnirun:
Recent Advances in Overcoming Bottlenecks in Memory Systems and Managing Memory Resources in GPU Systems. - Mustafa Al-Bassam, Alberto Sonnino, Michal Król, Ioannis Psaras:
Airtnt: Fair Exchange Payment for Outsourced Secure Enclave Computations. - Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea:
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. - David L. Applegate, Aaron Archer, David S. Johnson, Evdokia Nikolova, Mikkel Thorup, Ger Yang:
Wireless coverage prediction via parametric shortest paths. - Allan Santos, Hermano Lustosa, Fábio Porto, Bruno Schulze:
Towards In-transit Analysis on Supercomputing Environments. - Vinay Jayaram, Alexandre Barachant:
MOABB: Trustworthy algorithm benchmarking for BCIs. - Sungjoon Choi, Sanghoon Hong, Sungbin Lim:
ChoiceNet: Robust Learning by Revealing Output Correlations. - Youssef Mroueh:
Regularized Finite Dimensional Kernel Sobolev Discrepancy. - Yunhan Zhao, Ye Tian, Wei Shen, Alan L. Yuille:
Spatial Transformer Introspective Neural Network. - Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov:
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing. - Antonio Tapiador, Samer Hassan:
Understanding Federation: An Analytical Framework for the Interoperability of Social Networking Sites. - Dario Pavllo, David Grangier, Michael Auli:
QuaterNet: A Quaternion-based Recurrent Model for Human Motion. - Hadis Abarghouyi, Seyed Mohammad Razavizadeh, Emil Björnson:
QoE-Aware Beamforming Design for Massive MIMO Heterogeneous Networks. - Qingxiang Wang, Cezary Kaliszyk, Josef Urban:
First Experiments with Neural Translation of Informal to Formal Mathematics. - Ameet Deshpande, Vedant Somani:
Weight Initialization in Neural Language Models. - Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du:
Analogical Reasoning on Chinese Morphological and Semantic Relations. - Po Chen Kuo, Fernando H. Calderon Alvarado, Yi-Shin Chen:
Facebook Reaction-Based Emotion Classifier as Cue for Sarcasm Detection. - Zakaria Aldeneh, Dimitrios Dimitriadis, Emily Mower Provost:
Improving End-of-turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task. - Krishnan Eswaran, Michael Gastpar:
Remote Source Coding under Gaussian Noise : Dueling Roles of Power and Entropy Power. - Siamak Barzegar, André Freitas, Siegfried Handschuh, Brian Davis:
Composite Semantic Relation Classification. - André Freitas, Siamak Barzegar, Juliano Efson Sales, Siegfried Handschuh, Brian Davis:
Semantic Relatedness for All (Languages): A Comparative Analysis of Multilingual Semantic Relatedness Using Machine Translation. - Samet Oymak, Mahdi Soltanolkotabi:
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition. - Ming Li, Peilun Xiao, Ju Zhang:
Hybrid Adaptive Fuzzy Extreme Learning Machine for text classification. - Ming Li, Peilun Xiao, Ju Zhang:
Text classification based on ensemble extreme learning machine. - Marsa Rayani, Diala Naboulsi, Roch H. Glitho, Halima Elbiaze:
Slicing Virtualized EPC-based 5G Core Network for Content Delivery. - Borja Balle, Yu-Xiang Wang:
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising. - Mohammad Mozaffari, Ali Taleb Zadeh Kasgari, Walid Saad, Mehdi Bennis, Mérouane Debbah:
Beyond 5G with UAVs: Foundations of a 3D Wireless Cellular Network. - Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. - Tara Safavi, Maryam Davoodi, Danai Koutra:
Career Transitions and Trajectories: A Case Study in Computing. - Ondrej Cífka, Ondrej Bojar:
Are BLEU and Meaning Representation in Opposition? - Tineke Blom, Joris M. Mooij:
Generalized Strucutral Causal Models. - Robert A. Bridges, Jarilyn M. Hernández Jiménez, Jeffrey Nichols, Katerina Goseva-Popstojanova, Stacy J. Prowell:
Towards Malware Detection via CPU Power Consumption: Data Collection Design and Analytics (Extended Version). - Elissa M. Redmiles, Michelle L. Mazurek, John P. Dickerson:
Dancing Pigs or Externalities? Measuring the Rationality of Security Decisions. - Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos:
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. - Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
Defoiling Foiled Image Captions. - Juraj Juraska, Panagiotis Karagiannis, Kevin K. Bowden, Marilyn A. Walker:
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation. - Vidur Joshi, Matthew E. Peters, Mark Hopkins:
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. - Martin Schreiber, Nathanaël Schaeffer, Richard Loft:
Exponential Integrators with Parallel-in-Time Rational Approximations for Climate and Weather Simulations. - Rui Wang, Jan-Michael Frahm, Stephen M. Pizer:
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video. - Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar:
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images. - Rajan Walia, Jacques Carette, Praveen Narayanan, Chung-chieh Shan, Sam Tobin-Hochstadt:
Efficient compilation of array probabilistic programs. - ThaiBinh Nguyen, Atsuhiro Takasu:
NPE: Neural Personalized Embedding for Collaborative Filtering. - Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. - B. N. Bharath, Kyatsandra G. Nagananda, Deniz Gündüz, H. Vincent Poor:
Caching With Time-Varying Popularity Profiles: A Learning-Theoretic Perspective. - Nobutaka Ito, Shoko Araki, Tomohiro Nakatani:
FastFCA: A Joint Diagonalization Based Fast Algorithm for Audio Source Separation Using A Full-Rank Spatial Covariance Model. - Jiho Song, Byungju Lee, Jong-Ho Lee:
Cooperative Limited Feedback Design for Massive Machine-Type Communications. - Paulo Barreto, Glaucio Oliveira, Waldyr Benits:
Supersingular Isogeny Oblivious Transfer. - Zhifeng Zhao, Rongpeng Li, Qi Sun, Chih-Lin I, Chenyang Yang, Xianfu Chen, Minjian Zhao, Honggang Zhang:
Deep Reinforcement Learning for Network Slicing. - Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Cross-Target Stance Classification with Self-Attention Networks. - Ze Wang, Hong Li:
Leveraging Social Signal to Improve Item Recommendation for Matrix Factorization. - Kai Chen, Liangming Wu, Changlong Xu, Jian Li, Hao Xu, Jing Jiang:
ARUM: Polar Coded HARQ Scheme based on Incremental Channel Polarization. - Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld:
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks. - Andersen Man Shun Ang, Nicolas Gillis:
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation. - Pouya Samangouei, Maya Kabkab, Rama Chellappa:
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. - (Withdrawn) Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data.
- Wenyi Wang:
A Formulation of Recursive Self-Improvement and Its Possible Efficiency. - Dhruv Rathi:
Optimization of Transfer Learning for Sign Language Recognition Targeting Mobile Platform. - Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy. - Dhruv Rathi, Rajni Jindal:
DroidMark: A Tool for Android Malware Detection using Taint Analysis and Bayesian Network. - Tomás Angles, Stéphane Mallat:
Generative networks as inverse problems with Scattering transforms. - Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu:
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis. - Qianfang Liao, Da Sun, Hongliang Ren:
Novel Force Estimation-based Bilateral Teleoperation applying Type-2 Fuzzy logic and Moving Horizon Estimation. - Jalal Rachad, Ridha Nasri, Laurent Decreusefond:
How to Dimension 5G Network When Users Are Distributed on Roads Modeled by Poisson Line Process. - Jalal Rachad, Ridha Nasri, Laurent Decreusefond:
Interference Analysis in Dynamic TDD System Combined or not With Cell Clustering Scheme. - Francisco Barranco, Cornelia Fermüller, Yiannis Aloimonos, Eduardo Ros:
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients. - Guoling Liu, Wenjiang Feng, Zhu Han, Weiheng Jiang:
Performance Analysis and Optimization of Cooperative Full-Duplex D2D Communication Underlaying Cellular Networks. - Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
Extrapolation in NLP. - Jonny O'Dwyer, Niall Murray, Ronan Flynn:
Affective computing using speech and eye gaze: a review and bimodal system proposal for continuous affect prediction. - Stefan Monhof, Marcus Haferkamp, Benjamin Sliwa, Christian Wietfeld:
Payload-size and Deadline-aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-load Scenarios. - Haotian Cui, Xianggen Liu, Yanhao Huang:
Deep-learning Based Modeling of Fault Detachment Stability for Power Grid. - Florian Kauer, Volker Turau:
Constructing Customized Multi-Hop Topologies in Dense Wireless Network Testbeds. - Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. - Bin He, Yi Guan, Rui Dai:
Classifying medical relations in clinical text via convolutional neural networks. - Theodoros Giannakas, Pavlos Sermpezis, Thrasyvoulos Spyropoulos:
Show me the Cache: Optimizing Cache-Friendly Recommendations for Sequential Content Access. - Christos Liaskos, Shuai Nie, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
Realizing Wireless Communication through Software-defined HyperSurface Environments. - Lyudmyla Kirichenko, Tamara Radivilova, Anders Carlsson:
Detecting cyber threats through social network analysis: short survey. - Costanza Catalano, Raphaël M. Jungers:
The Synchronizing Probability Function for Primitive Sets of Matrices. - Tamara Radivilova, Hassan Ali Hassan:
Test for penetration in Wi-Fi network: attacks on WPA2-PSK and WPA2-Enterprise. - Vikraman Arvind, Abhranil Chatterjee, Rajit Datta, Partha Mukhopadhyay:
A Note on Polynomial Identity Testing for Depth-3 Circuits. - Julien Floquet, Richard Combes, Zwi Altman:
Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance. - Pawani Porambage, Jude Okwuibe, Madhusanka Liyanage, Mika Ylianttila, Tarik Taleb:
Survey on Multi-Access Edge Computing for Internet of Things Realization. - Azamat Marlen, Anuar Dorzhigulov:
Fuzzy Membership Function Implementation with Memristor. - Júlio Araújo, Victor A. Campos, Carlos Vinícius G. C. Lima, Vinícius Fernandes dos Santos, Ignasi Sau, Ana Silva:
Dual parameterization of Weighted Coloring. - Anthony W. Lin, Rupak Majumdar:
Quadratic Word Equations with Length Constraints, Counter Systems, and Presburger Arithmetic with Divisibility. - Rishi Relan, Yousef Firouz, Jean-Marc Timmermans, Johan Schoukens:
Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis. - Alessandro Neri:
Systematic encoders for generalized Gabidulin codes and the q-analogue of Cauchy matrices. - Costanza Catalano, Raphaël M. Jungers:
On randomized generation of slowly synchronizing automata. - Fabio Molinari, Slawomir Stanczak, Jörg Raisch:
Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems. - Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. - Volker Turau:
A Distributed Algorithm for Finding Hamiltonian Cycles in Random Graphs in O(log n) Time. - Patrick Bahr:
Strict Ideal Completions of the Lambda Calculus. - Zhe Xu, Biao Min, Ray C. C. Cheung:
A Robust Background Initialization Algorithm with Superpixel Motion Detection. - Xin Wei, Hui Wang, Bryan W. Scotney, Huan Wan:
Minimum Margin Loss for Deep Face Recognition. - Olegs Verhodubs:
Web Resource for Storing Collective Experience. - Reza Salkhordeh, Shahriar Ebrahimi, Hossein Asadi:
ReCA: an Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization. - Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen:
Action Completion: A Temporal Model for Moment Detection. - Rajat Talak, Igor Kadota, Sertac Karaman, Eytan H. Modiano:
Scheduling Policies for Age Minimization in Wireless Networks with Unknown Channel State. - Rong Kang, Chen Wang, Peng Wang, Yuting Ding, Jianmin Wang:
Matching Consecutive Subpatterns Over Streaming Time Series. - Nachiket Deo, Mohan M. Trivedi:
Convolutional Social Pooling for Vehicle Trajectory Prediction. - Yenming Huang, Borching Su:
Circularly Pulse-Shaped Precoding for OFDM: A New Waveform and Its Optimization Design for 5G New Radio. - Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction. - Petra Mutzel, Lutz Oettershagen:
The Crossing Number of Single-Pair-Seq-Shellable Drawings of Complete Graphs. - Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès:
Extraction and Analysis of Dynamic Conversational Networks from TV Series. - Sarah Azouvi, Patrick McCorry, Sarah Meiklejohn:
Betting on Blockchain Consensus with Fantomette. - Jacob D. Abernethy, Kevin A. Lai, Kfir Y. Levy, Jun-Kun Wang:
Faster Rates for Convex-Concave Games. - Csongor Kiss, Matthew Pickering, Nicolas Wu:
Generic Deriving of Generic Traversals. - Scott Boag, Parijat Dube, Kaoutar El Maghraoui, Benjamin Herta, Waldemar Hummer, K. R. Jayaram, Rania Khalaf, Vinod Muthusamy, Michael H. Kalantar, Archit Verma:
Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform. - Fehmi Ben Abdesslem, Henrik Abrahamsson, Bengt Ahlgren:
Cellular Network Multi-Access Measurements on the Roads of Värmland, Sweden. - Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang, Murthy V. Devarakonda:
Annotating Electronic Medical Records for Question Answering. - Lavinia Egidi, Felipe A. Louza, Giovanni Manzini, Guilherme P. Telles:
External memory BWT and LCP computation for sequence collections with applications. - Gilad Cohen, Guillermo Sapiro, Raja Giryes:
DNN or k-NN: That is the Generalize vs. Memorize Question. - (Withdrawn) Learning Time-Sensitive Strategies in Space Fortress.
- Vahan V. Mkrtchyan, Gagik N. Vardanyan:
On two consequences of Berge-Fulkerson conjecture. - Julian Müller, Andreas Fregin, Klaus Dietmayer:
Disparity Sliding Window: Object Proposals From Disparity Images. - Chuang Wang, Yonina C. Eldar, Yue M. Lu:
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis. - Jessica A. Enright, Kitty Meeks, George B. Mertzios, Viktor Zamaraev:
Deleting edges to restrict the size of an epidemic in temporal networks. - Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. - Carl Schultz, Mehul Bhatt, Jakob Suchan, Przemyslaw Andrzej Walega:
Answer Set Programming Modulo 'Space-Time'. - Jun Zhou, Yuhang Lu, Kang Zheng, Karen Smith, Colin Wilder, Song Wang:
Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking. - Franklin Camacho, Gerardo Chacón, Ramón Pino Pérez:
Resource allocation under uncertainty: an algebraic and qualitative treatment. - Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf:
Optimal Scheduling and Exact Response Time Analysis for Multistage Jobs. - Benjamin Paaßen:
Revisiting the tree edit distance and its backtracing: A tutorial. - (Withdrawn) Coding for Interactive Communication with Small Memory and Applications to Robust Circuits.
- Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall:
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. - James P. Bagrow, Daniel Berenberg, Joshua Clifford Bongard:
Neural language representations predict outcomes of scientific research. - Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona:
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. - Aurèle Barrière, Bastien Maubert, Aniello Murano, Sasha Rubin:
Changing Observations in Epistemic Temporal Logic. - Moez A. AbdelGawad:
Java Subtyping as an Infinite Self-Similar Partial Graph Product. - Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. - Nir Shlezinger, Roee Shaked, Ron Dabora:
On the Capacity of MIMO Broadband Power Line Communications Channels. - Eleni Nisioti, Nikolaos Thomos:
Fast reinforcement learning for decentralized MAC optimization. - Pablo Tano, Sergio Romano, Mariano Sigman, Alejo Salles, Santiago Figueira:
Learning is Compiling: Experience Shapes Concept Learning by Combining Primitives in a Language of Thought. - Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. - Neal Lawton, Aram Galstyan, Greg Ver Steeg:
A Forest Mixture Bound for Block-Free Parallel Inference. - Ahmad Babaeian Jelodar, Md Sirajus Salekin, Yu Sun:
Identifying Object States in Cooking-Related Images. - Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman:
Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks. - Ravi Shekhar, Tim Baumgärtner, Aashish Venkatesh, Elia Bruni, Raffaella Bernardi, Raquel Fernández:
Ask No More: Deciding when to guess in referential visual dialogue. - Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. - Florian Kreyssig, Iñigo Casanueva, Pawel Budzianowski, Milica Gasic:
Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems. - Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension. - Ashwija Reddy Korenda, Fatemeh Afghah, Bertrand Cambou:
A Secret Key Generation Scheme for Internet of Things using Ternary-States ReRAM-based Physical Unclonable Functions. - Gabriele Campanella, Vitor Werneck Krauss Silva, Thomas J. Fuchs:
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology. - João Leitão, Pedro Ákos Costa, Maria Cecília Gomes, Nuno M. Preguiça:
Towards Enabling Novel Edge-Enabled Applications. - Alan Kuhnle, J. David Smith, Victoria G. Crawford, My T. Thai:
Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice. - Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking. - (Withdrawn) Linear-Time Constituency Parsing with RNNs and Dynamic Programming.
- Mark Velednitsky:
Short Combinatorial Proof that the DFJ Polytope is contained in the MTZ Polytope for the Asymmetric Traveling Salesman Problem. - Marc Brittain, Peng Wei:
Hierarchical Reinforcement Learning with Deep Nested Agents. - Lisha Cui:
MDSSD: Multi-scale Deconvolutional Single Shot Detector for small objects. - Patrick Emami, Sanjay Ranka:
Learning Permutations with Sinkhorn Policy Gradient. - Zhifeng Yuan, Weimin Li, Yuzhou Hu, Xun Yang, Hong Tang, Jianqiang Dai:
Blind Receive Beamforming for Autonomous Grant-Free High-Overloading Multiple Access. - Hiram H. López, Felice Manganiello, Gretchen L. Matthews:
Affine Cartesian codes with complementary duals. - Xue Li, Xiandong Si, Lanshun Nie, Jiazhen Li, Renjie Ding, De-chen Zhan, Dianhui Chu:
Understanding and Improving Deep Neural Network for Activity Recognition. - Tongxin Li:
Maximum Likelihood Upper Bounds on the Capacities of Discrete Information Stable Channels. - Jie Li, Xiaorui Wang, Yuanyuan Zhao, Yan Li:
Gated Recurrent Unit Based Acoustic Modeling with Future Context. - Yu Han, Tien-Hao Hsu, Chao-Kai Wen, Kai-Kit Wong, Shi Jin:
Efficient Downlink Channel Reconstruction for FDD Multi-Antenna Systems. - JeongYeol Baek, Ioana Veronica Chelu, Livia Iordache, Vlad Paunescu, HyunJoo Ryu, Alexandru Ghiuta, Andrei Petreanu, YunSung Soh, Andrei Leica, ByeongMoon Jeon:
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System. - Alexander Patrick Mathews, Lexing Xie, Xuming He:
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text. - Morad Behandish, Saigopal Nelaturi, Johan de Kleer:
Automated Process Planning for Hybrid Manufacturing. - Tak-Wai Hui, Xiaoou Tang, Chen Change Loy:
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation. - Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. - Qingqing Wu, Liang Liu, Rui Zhang:
Fundamental Tradeoffs in Communication and Trajectory Design for UAV-Enabled Wireless Network. - Weili Nie, Yang Zhang, Ankit Patel:
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations. - Jingwei Zhang, Yong Zeng, Rui Zhang:
UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design. - Wei Xue, Tao Li:
Aspect Based Sentiment Analysis with Gated Convolutional Networks. - Wyatt Meldman-Floch:
Blockchain Cohomology. - Taeuk Kim, Jihun Choi, Sang-goo Lee:
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension. - Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield:
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. - Emmanuel Christophe, Jérémy Frey, Richard Kronland-Martinet, Jean-Arthur Micoulaud-Franchi, Jelena Mladenovic, Gaëlle Mougin, Jean Vion-Dury, Sølvi Ystad, Mitsuko Aramaki:
Evaluation of a congruent auditory feedback for Motor Imagery BCI. - Mahdi Shaghaghi, Raviraj S. Adve, Zhen Ding:
Multifunction Cognitive Radar Task Scheduling Using Monte Carlo Tree Search and Policy Networks. - Tingmin Wu, Lihong Tang, Zhiyu Xu, Sheng Wen, Cécile Paris, Surya Nepal, Marthie Grobler, Yang Xiang:
Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps. - Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-level Wavelet-CNN for Image Restoration. - Shalini Ghosh, Amaury Mercier, Dheeraj Pichapati, Susmit Jha, Vinod Yegneswaran, Patrick Lincoln:
Trusted Neural Networks for Safety-Constrained Autonomous Control. - Peihong Yuan, Fabian Steiner, Tobias Prinz, Georg Böcherer:
Flexible IR-HARQ Scheme for Polar-Coded Modulation. - Liwen Zhang, Gregory Naitzat, Lek-Heng Lim:
Tropical Geometry of Deep Neural Networks. - Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto:
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations. - Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. - Stephen Pauwels, Toon Calders:
Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs. - Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Fuming Ma, Qi Ju:
Improving Image Captioning with Conditional Generative Adversarial Nets. - Mahesh Joshi, Bodhisatwa Mazumdar, Somnath Dey:
Security Vulnerabilities Against Fingerprint Biometric System. - Benjamin Paaßen:
Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results. - Sepehr Rezvani, Saeedeh Parsaeefard, Nader Mokari, Mohammad R. Javan, Halim Yanikomeroglu:
Delivery-Aware Cooperative Joint Multi-Bitrate Video Caching and Transcoding in 5G. - Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen:
Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation. - Karl Bringmann, Thore Husfeldt, Måns Magnusson:
Multivariate Analysis of Orthogonal Range Searching and Graph Distances Parameterized by Treewidth. - Charis Papadopoulos, Spyridon Tzimas:
Subset Feedback Vertex Set on Graphs of Bounded Independent Set Size. - Chris Emmery, Enrique Manjavacas, Grzegorz Chrupala:
Style Obfuscation by Invariance. - Lukas Hewing, Melanie N. Zeilinger:
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets. - Moez A. AbdelGawad:
Partial Cartesian Graph Product. - Andrés Camero, Jamal Toutouh, Enrique Alba:
Low-Cost Recurrent Neural Network Expected Performance Evaluation. - Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms. - Silvia L. Pintea, Yue Liu, Jan C. van Gemert:
Recurrent knowledge distillation. - Steven van der Helm, Kimberly N. McGuire, Mario Coppola, Guido C. H. E. de Croon:
On-board Range-based Relative Localization for Micro Aerial Vehicles in indoor Leader-Follower Flight. - Francisco Ferreira Ruiz:
Proofs and Programs about Open Terms. - Yong Lai:
Approximate Model Counting by Partial Knowledge Compilation. - Shuowen Zhang, Yong Zeng, Rui Zhang:
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective. - Chatdanai Dorkson, Siaw-Lynn Ng:
Private Information Retrieval using Product-Matrix Minimum Storage Regenerating Codes. - Markus Braun, Sebastian Krebs, Fabian Flohr, Dariu M. Gavrila:
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection. - Christian Sternagel:
The remote_build Tool. - Weilin Deng, Jingkai Yang, Daowen Qiu:
Supervisory Control of Probabilistic Discrete Event Systems under Partial Observation. - Elvira Albert, Pablo Gordillo, Benjamin Livshits, Albert Rubio, Ilya Sergey:
EthIR: A Framework for High-Level Analysis of Ethereum Bytecode. - Fabian Kuhn, Yannic Maus, Simon Weidner:
Deterministic Distributed Ruling Sets of Line Graphs. - Ulrich Dorsch, Stefan Milius, Lutz Schröder, Thorsten Wißmann:
Predicate Liftings and Functor Presentations in Coalgebraic Expression Languages. - Joshua R. Bertram, Peng Wei:
Memoryless Exact Solutions for Deterministic MDPs with Sparse Rewards. - Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Reinforcement Learning based Resource Allocation for V2V Communications. - Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos:
A Study on Dialog Act Recognition using Character-Level Tokenization. - Victor Chepoi, Feodor F. Dragan, Michel Habib, Yann Vaxès, Hend Al-Rasheed:
Fast approximation of centrality and distances in hyperbolic graphs. - Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang:
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. - Alexander A. Semenov, Ilya V. Otpuschennikov, Irina Gribanova, Oleg Zaikin, Stepan Kochemazov:
Translation of Algorithmic Descriptions of Discrete Functions to SAT with Applications to Cryptanalysis Problems. - Shrihari Vasudevan:
Dynamic learning rate using Mutual Information. - Mingxuan Jing, Xiaojian Ma, Fuchun Sun, Huaping Liu:
Learning and Inference Movement with Deep Generative Model. - Anjith George, Aurobinda Routray:
Recognition of Activities from Eye Gaze and Egocentric Video. - Petr Svarný, Matej Hoffmann:
Safety of human-robot interaction through tactile sensors and peripersonal space representations. - Thorsten Laude, Yannick Richter, Jörn Ostermann:
Neural Network Compression using Transform Coding and Clustering. - Karla Stépánová, Matej Hoffmann:
Robot self-calibration using multiple kinematic chains. - Mohammad Bakhshalipour, Hamid Sarbazi-Azad:
Parallelizing Bisection Root-Finding: A Case for Accelerating Serial Algorithms in Multicore Substrates. - Ghulam Ahmed Ansari, Sagar J. P, Sarath Chandar, Balaraman Ravindran:
Language Expansion In Text-Based Games. - Yongqi Zhang:
XOGAN: One-to-Many Unsupervised Image-to-Image Translation. - Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer:
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks. - David Stutz, Andreas Geiger:
Learning 3D Shape Completion under Weak Supervision. - Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. - John Augustine, Mohsen Ghaffari, Robert Gmyr, Kristian Hinnenthal, Fabian Kuhn, Jason Li, Christian Scheideler:
Distributed Computation in the Node-Congested Clique. - Guohui Zhang, Gaoyuan Liang, Fang Su, Fanxin Qu, Jingyan Wang:
Cross-domain attribute representation based on convolutional neural network. - Shiyin Wei, Xiaowei Jin, Hui Li:
General solutions for nonlinear differential equations: a deep reinforcement learning approach. - Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang:
Efficient Exploration of Gradient Space for Online Learning to Rank. - Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu:
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network. - Huiting Hong, Xin Li, Mingzhong Wang:
GANE: A Generative Adversarial Network Embedding. - Marco Frasca, Nicolò Cesa-Bianchi:
Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction. - Gozde Ozcan, Mustafa Cenk Gursoy:
Optimal Power Control for Fading Channels with Arbitrary Input Distributions and Delay-Sensitive Traffic. - Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian:
Scanner: Efficient Video Analysis at Scale. - Siddhartha Brahma:
Suffix Bidirectional Long Short-Term Memory. - Amir H. Khoshaman, Mohammad H. Amin:
GumBolt: Extending Gumbel trick to Boltzmann priors. - Thomas Vogel, Holger Giese:
Model-Driven Engineering of Self-Adaptive Software with EUREMA. - Joachim Hänsel, Thomas Vogel, Holger Giese:
A Testing Scheme for Self-Adaptive Software Systems with Architectural Runtime Models. - Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha, Saibal Kar, Poulami Sarkar:
ALVEC: Auto-scaling by Lotka Volterra Elastic Cloud: A QoS aware Non Linear Dynamical Allocation Model. - Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic:
Do Diffusion Protocols Govern Cascade Growth? - Rasoul Shahsavarifar, David Bremner:
Approximate Data Depth Revisited. - Natalie Stanley, Marc Niethammer, Peter J. Mucha:
Testing Alignment of Node Attributes with Network Structure Through Label Propagation. - Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. - Seán Mullery, Paul F. Whelan:
Batch Normalization in the final layer of generative networks. - Clemens Jeger, Ahad N. Zehmakan:
Dynamic Monopolies in Reversible Bootstrap Percolation. - Sabreen Mahmood Shukr, Nuha Abdul Sahib Alwan, Ibraheem Kasim Ibraheem:
A Comparative Study of Single-Constraint Routing in Wireless Mesh Networks Using Different Dynamic Programming Algorithms. - Thomas Vogel, Andreas Seibel, Holger Giese:
The Role of Models and Megamodels at Runtime. - Thomas Vogel, Holger Giese:
Adaptation and Abstract Runtime Models. - Abhijit Mahabal, Dan Roth, Sid Mittal:
Robust Handling of Polysemy via Sparse Representations. - Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. - Pritam Bhattacharjee, Bipasha Nath, Alak Majumder:
LECTOR Based Clock Gating for Low Power Multi-Stage Flip Flop Applications. - Longfei Wei, Luis Puche Rondon, Amir Moghadasi, Arif I. Sarwat:
Review of Cyber-Physical Attacks and Counter Defense Mechanisms for Advanced Metering Infrastructure in Smart Grid. - Masum Shah Junayed, Afsana Ahsan Jeny, Nafis Neehal:
Incept-N: A Convolutional Neural Network based Classification Approach for Predicting Nationality from Facial Features. - Haipeng Luo, Chen-Yu Wei, Kai Zheng:
Efficient Online Portfolio with Logarithmic Regret. - Chai Wah Wu:
Can machine learning identify interesting mathematics? An exploration using empirically observed laws. - Eder Batista Tchawou Tchuisseu, Damià Gomila, Pere Colet:
Reduction of power grid fluctuations by communication between smart devices. - Nuri Cingillioglu, Alessandra Russo:
DeepLogic: End-to-End Logical Reasoning. - Miguel Romero, Camilo Rocha:
Reachability Analysis for Spatial Concurrent Constraint Systems with Extrusion. - Linnan Wang, Yiyang Zhao, Yuu Jinnai:
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. - Shixian Wen, Laurent Itti:
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory. - Sankaraganesh Jonna, Krishna Kanth Nakka, Rajiv R. Sahay:
My camera can see through fences: A deep learning approach for image de-fencing. - Shuai Tang, Virginia R. de Sa:
Multi-view Sentence Representation Learning. - Guyue Han, Harish Sethu:
Closed Walk Sampler: An Efficient Method for Estimating Eigenvalues of Large Graphs. - Aysegul Ozkan, Rahul Prabhu, Troy Baker, James Pence, Jörg Peters, Meera Sitharam:
AlgorithmXXX: Efficient Atlasing and Search of Configuration Spaces of Point-Sets Constrained by Distance Intervals. - So Nakashima, Takanori Maehara:
Subspace Selection via DR-Submodular Maximization on Lattices. - Hossein Moradian, Solmaz S. Kia:
On Robustness Analysis of a Dynamic Average Consensus Algorithm to Communication Delay. - Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching Loss for Image Segmentation. - Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass:
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. - Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Learning of Neural Networks to Explain Neural Networks. - Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations. - Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi:
Solving the Rubik's Cube Without Human Knowledge. - Jeremy Morton, Freddie D. Witherden, Antony Jameson, Mykel J. Kochenderfer:
Deep Dynamical Modeling and Control of Unsteady Fluid Flows. - Meng Ye, Yuhong Guo:
Self-Training Ensemble Networks for Zero-Shot Image Recognition. - Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin:
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. - Sina Ghiassian, Huizhen Yu, Banafsheh Rafiee, Richard S. Sutton:
Two geometric input transformation methods for fast online reinforcement learning with neural nets. - Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah:
Norm-Preservation: Why Residual Networks Can Become Extremely Deep? - Cheng Ju, James Li, Bram Wasti, Shengbo Guo:
Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed. - An Bian, Joachim M. Buhmann, Andreas Krause:
Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference. - Julaiti Alafate, Yoav Freund:
Tell Me Something New: A New Framework for Asynchronous Parallel Learning. - Behnaz Moradi, Heman Shakeri, Pietro Poggi-Corradini, Michael J. Higgins:
New methods for incorporating network cyclic structures to improve community detection. - Ke Feng, Martin Haenggi:
A Tunable Base Station Cooperation Scheme for Poisson Cellular Networks. - Yansong Gao, Yang Su, Lei Xu, Damith Chinthana Ranasinghe:
Lightweight (Reverse) Fuzzy Extractor with Multiple Referenced PUF Responses. - Hongbo Rong:
Productively Expressing High-performance Spatial Designs of Givens Rotation-based QR Decomposition Algorithm. - Assaf J. Kfoury:
A Compositional Approach to Network Algorithms. - Hyoungwook Nam, Segwang Kim, Kyomin Jung:
Number Sequence Prediction Problems and Computational Powers of Neural Network Models. - Rowel Atienza:
Fast Disparity Estimation using Dense Networks. - Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization. - Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
On Deep Ensemble Learning from a Function Approximation Perspective. - Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning. - Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He:
Free-rider Episode Screening via Dual Partition Model. - Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models. - Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
GEN Model: An Alternative Approach to Deep Neural Network Models. - Jichao Zhang, Yezhi Shu, Songhua Xu, Gongze Cao, Fan Zhong, Xueying Qin:
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation. - Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. - Kuan Han, Haiguang Wen, Yizhen Zhang, Di Fu, Eugenio Culurciello, Zhongming Liu:
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition. - Ram Prakash Sharma, Somnath Dey:
Two-stage quality adaptive fingerprint image enhancement using Fuzzy c-means clustering based fingerprint quality analysis. - Maksim N. Nazarov:
Neural networks with dynamical coefficients and adjustable connections on the basis of integrated backpropagation. - Liat Cohen, Dror Fried, Gera Weiss:
An optimal approximation of discrete random variables with respect to the Kolmogorov distance. - Yu Zhang, Ying Wei, Qiang Yang:
Learning to Multitask. - Qing Wang, Long Chen, Wei Tian:
End-to-end driving simulation via angle branched network. - Emilio Cartoni, Gianluca Baldassarre:
Autonomous discovery of the goal space to learn a parameterized skill. - Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng:
Learning Pixel-wise Labeling from the Internet without Human Interaction. - Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image. - Xiaokai Chen, Ke Gao:
DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding. - Haiwen Huang, Chang Wang, Bin Dong:
Nostalgic Adam: Weighing more of the past gradients when designing the adaptive learning rate. - Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti:
Transduction with Matrix Completion Using Smoothed Rank Function. - Cezary Kaliszyk, Josef Urban, Henryk Michalewski, Mirek Olsák:
Reinforcement Learning of Theorem Proving. - Saeid Pourroostaei Ardakani:
ACR: a cluster-based routing protocol for VANET. - Mehmet Kerim Yucel, Yunus Can Bilge, Oguzhan Oguz, Nazli Ikizler-Cinbis, Pinar Duygulu, Ramazan Gokberk Cinbis:
Wildest Faces: Face Detection and Recognition in Violent Settings. - Kai Zhao, Shanghua Gao, Qibin Hou, Dandan Li, Ming-Ming Cheng:
Optimizing the F-measure for Threshold-free Salient Object Detection. - Chen Wu, Andreas Wicenec, Rodrigo Tobar:
Partitioning SKA Dataflows for Optimal Graph Execution. - Hannes Rapp, Martin Paul Nawrot, Merav Stern:
Reliable counting of weakly labeled concepts by a single spiking neuron model. - Wael Adi, Ayoub Mars:
Physical and Mechatronic Security, Technologies and Future Trends for Vehicular Environment. - Shuming Jiao:
Fast Object Classification in Single-pixel Imaging. - Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. - Jesse Anderton, Virgil Pavlu, Javed A. Aslam:
Revealing the Basis: Ordinal Embedding Through Geometry. - Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. - Maryam Aziz, Jesse Anderton, Javed A. Aslam:
Adaptively Pruning Features for Boosted Decision Trees. - Irina Radchenko, Anna Koroleva, Yaroslav Baranov:
On Portrait of a Specialist in Open Data. - Chengyuan Zhang, Lei Zhu, Jun Long, Shuangqiao Lin, Zhan Yang, Wenti Huang:
A hybrid index model for efficient spatio-temporal search in HBase. - Francesco Restuccia, Andrea Saracino, Fabio Martinelli:
Practical Location Validation in Participatory Sensing Through Mobile WiFi Hotspots. - Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang:
Episodic Memory Deep Q-Networks. - Roy Fairstein, Adam Lauz, Kobi Gal, Reshef Meir:
Predicting Strategic Voting Behavior with Poll Information. - Oisín Kyne:
MAC Address De-Anonymisation. - Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. - Liheng Zhang, Marzieh Edraki, Guo-Jun Qi:
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces. - Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Nonparametric Bayesian Deep Networks with Local Competition. - Sara Sedighi:
Sparse Architectures for Text-Independent Speaker Verification Using Deep Neural Networks. - Neev Samuel, Tzvi Diskin, Ami Wiesel:
Learning to Detect. - Line Kühnel, Tom Fletcher, Sarang C. Joshi, Stefan Sommer:
Latent Space Non-Linear Statistics. - Yash Patel, Kashyap Chitta, Bhavan Jasani:
Learning Sampling Policies for Domain Adaptation. - Cosmina Croitoru, Kurt Mehlhorn:
On testing substitutability. - Yan Chang, Weiqing Yang, Ding Zhao:
Fuel Economy and Emission Testing for Connected and Automated Vehicles Using Real-world Driving Datasets. - Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Thomas L. Griffiths:
Capturing human category representations by sampling in deep feature spaces. - Zitao Li, Jean Honorio:
Regularized Loss Minimizers with Local Data Obfuscation. - Kunlei Zhang, Elaheh Rashedi, Elaheh Barati, Xue-wen Chen:
Long-term face tracking in the wild using deep learning. - Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Thomas L. Griffiths:
Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. - Vishvak S. Murahari, Thomas Ploetz:
On Attention Models for Human Activity Recognition. - Felix Beierle:
Do You Like What I Like? Similarity Estimation in Proximity-based Mobile Social Networks. - Hussien Al-Hmood, Hamed S. Al-Raweshidy:
Security Performance Analysis of Physical Layer over Fisher-Snedecor 𝐹 Fading Channels. - Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths:
Learning a face space for experiments on human identity. - Anirudh Paranjothi, Mohammad S. Khan, Mohammed Atiquzzaman:
DFCV: A Novel Approach for Message Dissemination in Connected Vehicles using Dynamic Fog. - Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens:
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark. - Ilaria Bertazzi, Sylvie Huet, Guillaume Deffuant, Floriana Gargiulo:
The anatomy of a Web of Trust: the Bitcoin-OTC market. - (Withdrawn) Instrumentation Amplifier design: Comparison of CMOS-memristive to CMOS design.
- (Withdrawn) Sense amplifier design using CMOS-memristor circuits.
- (Withdrawn) Perceptron Linear Function Design with CMOS-Memristive Circuits.
- (Withdrawn) Variability analysis of Memristor-based Sigmoid Function.
- (Withdrawn) Analog multiplier design with CMOS-memristor circuits.
- Yu Jin, Joseph F. JáJá:
Learning Graph-Level Representations with Gated Recurrent Neural Networks. - Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi:
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer. - Isaac Grosof, Ziv Scully, Mor Harchol-Balter:
SRPT for Multiserver Systems. - Daniel S. Brown, Scott Niekum:
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications. - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition. - Redhwan Jamiruddin, Ali Osman Sari, Jahanzaib Shabbir, Tarique Anwer:
RGB-Depth SLAM Review. - Elad Tolochinsky, Ohad Mosafi, Ella Rabinovich, Shuly Wintner:
The UN Parallel Corpus Annotated for Translation Direction. - Ruo-Pei Guo, Chun-Guang Li, Yonghua Li, Jiaru Lin:
Density-Adaptive Kernel based Re-Ranking for Person Re-Identification. - Nate Merrill, Guoquan Huang:
Lightweight Unsupervised Deep Loop Closure. - Weitang Liu, Emad Barsoum, John D. Owens:
Object Localization and Motion Transfer learning with Capsules. - Yinlam Chow, Ofir Nachum, Edgar A. Duéñez-Guzmán, Mohammad Ghavamzadeh:
A Lyapunov-based Approach to Safe Reinforcement Learning. - Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong:
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. - Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Sheng Huang:
An Online RFID Localization in the Manufacturing Shopfloor. - Jie Zhang, Shuwen Gao, Nam Sung Kim, Myoungsoo Jung:
CIAO: Cache Interference-Aware Throughput-Oriented Architecture and Scheduling for GPUs. - Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha S. Srinivasa:
Balancing Shared Autonomy with Human-Robot Communication. - Dinesh Kumar Vishwakarma, Sakshi Upadhyay:
A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models. - Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah:
Task-Agnostic Meta-Learning for Few-shot Learning. - Parameswaran Kamalaruban, Robert C. Williamson:
Minimax Lower Bounds for Cost Sensitive Classification. - Sharareh Alipour, Salman Parsa:
Hardness of CONTIGUOUS SAT and Visibility with Uncertain Obstacles. - Henry Elder, Chris Hokamp:
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models. - Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. - Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. - (Withdrawn) Analysis of Multilayer Perceptron with Rectifier Linear Unit Activation Function.
- (Withdrawn) CMOS-Memristive Analog Multiplier Design.
- Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang:
Exp-Concavity of Proper Composite Losses. - Berik Argimbayev, Olga Krestinskaya, Alex Pappachen James:
Effects of Memristors on Fully Differential Transimpedance Amplifier Performance. - Shuchen Weng, Wenbo Li, Yi Zhang, Siwei Lyu:
STS Classification with Dual-stream CNN. - Hao Fu, Jian Li, Pan Xu:
A PTAS for a Class of Stochastic Dynamic Programs. - Trung Kien Vu, Mehdi Bennis, Mérouane Debbah, Matti Latva-aho:
Joint Path Selection and Rate Allocation Framework for 5G Self-Backhauled mmWave Networks. - (Withdrawn) Abstractive Text Classification Using Sequence-to-convolution Neural Networks.
- Tao Wu, Shaojie Qiao, Wei Wang, Xingping Xian:
Structural Regularity Exploring and Controlling: A Network Reconstruction Perspective. - Xiaogang Xiong, Shyam Kamal, Shanhai Jin:
Adaptive Gains to Super-Twisting Technique for Sliding Mode Design. - Zijun Wu, Rolf H. Möhring, Dachuan Xu:
Selfishness need not be bad: a general proof. - Michal Dory:
Distributed Approximation of Minimum k-edge-connected Spanning Subgraphs. - Muralikrishnan Srinivasan, Sheetal Kalyani:
Analysis of Outage Probability of MRC with η-μ co-channel interference. - Yenming Huang, Rueibin Yang, Borching Su:
Reducing Cubic Metric of Circularly Pulse-Shaped OFDM Signals Through Constellation Shaping Optimization With Performance Constraints. - Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han:
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. - Vik Goel, Jameson Weng, Pascal Poupart:
Unsupervised Video Object Segmentation for Deep Reinforcement Learning. - Neel Guha:
Knowledge Aggregation via Epsilon Model Spaces. - Hossein Beheshti, Farzan Haddadi:
Adaptive Dictionary Sparse Signal Recovery Using Binary Measurements. - Christoph Anderson, Clara Heissler, Sandra Ohly, Klaus David:
Assessment of Social Roles for Interruption Management: A New Concept in the Field of Interruptibility. - Ligang Liu, Xi Xia, Han Sun, Qi Shen, Juzhan Xu, Bin Chen, Hui Huang, Kai Xu:
Object-Aware Guidance for Autonomous Scene Reconstruction. - Md. Solimul Chowdhury:
Task and Energy Aware Node Placement in Wirelessly Rechargeable WSNs. - Stefano Buzzi, Marco Lops, Carmen D'Andrea, Ciro D'Elia:
Co-existence Between a Radar System and a Massive MIMO Wireless Cellular System. - Naveen Sundar Govindarajulu, Selmer Bringsjord, Rikhiya Ghosh:
One Formalization of Virtue Ethics via Learning. - Simon S. Du, Surbhi Goel:
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps. - Kamal Al-Sabahi, Zuping Zhang, Mohammed Nadher:
A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS). - Dimche Kostadinov, Behrooz Razeghi, Sohrab Ferdowsi, Slava Voloshynovskiy:
Network Learning with Local Propagation. - Elad Sarafian, Aviv Tamar, Sarit Kraus:
Safe Policy Learning from Observations. - Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis:
Multi-layer Kernel Ridge Regression for One-class Classification. - Yasushi Kawase, Hanna Sumita:
Randomized Strategies for Robust Combinatorial Optimization. - A. J. Piergiovanni, Alan Wu, Michael S. Ryoo:
Learning Real-World Robot Policies by Dreaming. - Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha:
Improving Adversarial Robustness by Data-Specific Discretization. - Abhishek Kumar, Daisuke Kawahara, Sadao Kurohashi:
Knowledge-enriched Two-layered Attention Network for Sentiment Analysis. - Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri:
Targeted Adversarial Examples for Black Box Audio Systems. - Eran Treister, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, Eldad Haber:
Low-Cost Parameterizations of Deep Convolution Neural Networks. - Jaber Kakar, Anas Chaaban, Vuk Marojevic, Aydin Sezgin:
UAV-aided Multi-Way Communications. - Javier Álvez, Itziar Gonzalez-Dios, German Rigau:
Validating WordNet Meronymy Relations using Adimen-SUMO. - Ping Guo:
A Vest of the Pseudoinverse Learning Algorithm. - Hamza Khan, Petri Luoto, Mehdi Bennis, Matti Latva-aho:
On the Application of Network Slicing for 5G-V2X. - Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. - Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans:
Optimizing Simulations with Noise-Tolerant Structured Exploration. - Zhilu Zhang, Mert R. Sabuncu:
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels. - Shenyu Mou, Yan Chang, Wenshuo Wang, Ding Zhao:
An Optimal LiDAR Configuration Approach for Self-Driving Cars. - Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman:
A Universal Music Translation Network. - Harish Gandhi Ramachandran, Dan DeRose Jr.:
A Text Analysis of Federal Reserve meeting minutes. - Stefan C. Schonsheck, Bin Dong, Rongjie Lai:
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds. - Todor Mihaylov, Anette Frank:
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. - Jiening Mao, Zhen Gao, Yongpeng Wu, Mohamed-Slim Alouini:
Over-Sampling Codebook-Based Hybrid Minimum Sum-Mean-Square-Error Precoding for Millimeter-Wave 3D-MIMO. - Ruying Bao, Sihang Liang, Qingcan Wang:
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference. - Yingyezhe Jin, Peng Li, Wenrui Zhang:
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks. - Anuj Rawat:
A 5/2-Approximation Algorithm for Coloring Rooted Subtrees of a Degree 3 Tree. - Luke Cramphorn, John Lloyd, Nathan F. Lepora:
Voronoi Features for Tactile Sensing: Direct Inference of Pressure, Shear, and Contact Locations. - Saurabh Arora, Prashant Doshi, Bikramjit Banerjee:
A Framework and Method for Online Inverse Reinforcement Learning. - Huan Lei, Naveed Akhtar, Ajmal Mian:
Spherical Convolutional Neural Network for 3D Point Clouds. - Philipp Walk, Peter Jung, Babak Hassibi:
Noncoherent Short-Packet Communication via Modulation on Conjugated Zeros. - Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang:
Learning with Non-Convex Truncated Losses by SGD. - Huy Nguyen Tien, Nguyen Minh Le, Yamasaki Tomohiro, Izuha Tatsuya:
Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity. - Yanwei Li, Araz Taeihagh, Martin De Jong:
The Governance of Risks in Ridesharing: A Revelatory Case from Singapore. - Sizhuo Zhang, Muralidaran Vijayaraghavan, Andrew Wright, Mehdi Alipour, Arvind:
Constructing a Weak Memory Model. - Weixuan Chen, Daniel McDuff:
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks. - Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. - Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. - Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja:
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. - Yang Song, Rui Shu, Nate Kushman, Stefano Ermon:
Generative Adversarial Examples. - Roope Tervo, Joonas Karjalainen, Alexander Jung:
Predicting Electricity Outages Caused by Convective Storms. - Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Yiran Chen, Hai Li:
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. - Meng Huang, Zhiqiang Xu:
Phase retrieval from the norms of affine transformations. - Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung:
Unsupervised Deep Context Prediction for Background Foreground Separation. - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification. - Kushal Singla, Joy Bose:
IoT2Vec: Identification of Similar IoT Devices via Activity Footprints. - Heinrich Jiang, Jennifer Jang, Samory Kpotufe:
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift. - Ashley D. Edwards, Himanshu Sahni, Yannick Schroecker, Charles L. Isbell Jr.:
Imitating Latent Policies from Observation. - Shauharda Khadka, Kagan Tumer:
Evolutionary Reinforcement Learning. - Qingshan Xu, Wenbing Tao:
Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection. - Hyeonseob Nam, Hyo-Eun Kim:
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks. - Qizhi Zhang, Kuang-chih Lee, Hongying Bao, Yuan You, Dongbai Guo:
Category coding with neural network application. - Anna Lukina, Ashish Tiwari, Scott A. Smolka, Radu Grosu:
Adaptive Neighborhood Resizing for Stochastic Reachability in Multi-Agent Systems. - Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. - Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. - Yuan Cheng, Guangya Li, Hai-Bao Chen, Sheldon X.-D. Tan, Hao Yu:
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization. - Qi Zheng, Shujian Yu, Xinge You, Qinmu Peng, Wei Yuan:
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery. - Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu:
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines. - Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert:
Relating Leverage Scores and Density using Regularized Christoffel Functions. - Junsoo Kim, Chanhwa Lee, Hyungbo Shim, Yongsoon Eun, Jin Heon Seo:
Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors. - Erenay Dayanik, Ekin Akyürek, Deniz Yuret:
MorphNet: A sequence-to-sequence model that combines morphological analysis and disambiguation. - Stefan Wagner, Daniel Méndez Fernández, Michael Felderer, Antonio Vetrò, Marcos Kalinowski, Roel J. Wieringa, Dietmar Pfahl, Tayana Conte, Marie-Therese Christiansson, Desmond Greer, Casper Lassenius, Tomi Männistö, Maleknaz Nayebi, Markku Oivo, Birgit Penzenstadler, Rafael Prikladnicki, Guenther Ruhe, André Schekelmann, Sagar Sen, Rodrigo O. Spínola, Ahmet Tuzcu, Jose Luis de la Vara, Dietmar Winkler:
Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys. - Ozan Arkan Can, Deniz Yuret:
A new dataset and model for learning to understand navigational instructions. - Guy Goren, Yoram Moses:
Silence. - Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. - Emil Björnson, Luca Sanguinetti, Jakob Hoydis:
Can Hardware Distortion Correlation be Neglected When Analyzing Uplink SE in Massive MIMO? - Sopan Khosla, Niyati Chhaya, Kushal Chawla:
Aff2Vec: Affect-Enriched Distributional Word Representations. - Özgecan Özdogan, Emil Björnson, Erik G. Larsson:
Uplink Spectral Efficiency of Massive MIMO with Spatially Correlated Rician Fading. - Özgecan Özdogan, Emil Björnson, Erik G. Larsson:
Massive MIMO with Spatially Correlated Rician Fading Channels. - Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon:
Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks. - Jieyun Huang, Yunjia Zhang, Jialai Zhang, Xi Zhang:
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction. - Zbigniew Duliñski, Grzegorz Rzym, Piotr Cholda:
MPLS-based Reduction of Flow Table Entries in SDN Switches Supporting Multipath Transmission. - Sitao Xiang, Hao Li:
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks. - Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba:
Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments. - Mohammad Dehghani Soltani, Ardimas Andi Purwita, Zhihong Zeng, Harald Haas, Majid Safari:
Modeling the Random Orientation of Mobile Devices: Measurement, Analysis and LiFi Use Case. - Zhonghui You, Jinmian Ye, Kunming Li, Ping Wang:
Adversarial Noise Layer: Regularize Neural Network By Adding Noise. - Sidney Pontes-Filho, Marcus Liwicki:
Bidirectional Learning for Robust Neural Networks. - Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun:
Performance Bound Analysis for Crowdsourced Mobile Video Streaming. - Wenyan Yang, Yanlin Qian, Francesco Cricri, Lixin Fan, Joni-Kristian Kamarainen:
Object Detection in Equirectangular Panorama. - Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior. - Sascha Arnold, Lashika Medagoda:
Robust Model-Aided Inertial Localization for Autonomous Underwater Vehicles. - Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Diffusion. - Chiara Silvestri, Rene Motro, Bernard Maurin, Birgitta Dresp-Langley:
Visual spatial learning of complex object morphologies through interaction with virtual and real-world data. - Peng Jiang, Fanglin Gu, Changhe Tu, Baoquan Chen:
DifNet: Semantic Segmentation by Diffusion Networks. - Tong-Xing Zheng, Hui-Ming Wang, Hao Deng:
Improving Anti-Eavesdropping Ability without Eavesdropper's CSI: A Practical Secure Transmission Design Perspective. - Jinming Cao, Oren Katzir, Peng Jiang, Dani Lischinski, Daniel Cohen-Or, Changhe Tu, Yangyan Li:
DiDA: Disentangled Synthesis for Domain Adaptation. - Daniel Bonilla Licea, Edmond Nurellari, Mounir Ghogho:
Energy balancing for robotic aided clustered wireless sensor networks using mobility diversity algorithms. - Mohammad Mahdi Mojahedian, Salman Beigi, Amin Gohari, Mohammad Hossein Yassaee, Mohammad Reza Aref:
A Correlation Measure Based on Vector-Valued Lp-Norms. - Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. - Ana Lucía Schmidt, Fabiana Zollo, Antonio Scala, Walter Quattrociocchi:
Polarization Rank: A Study on European News Consumption on Facebook. - Jan Chorowski, Adrian Lancucki, Szymon Malik, Maciej Pawlikowski, Pawel Rychlikowski, Pawel Zykowski:
A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017 Conversational Intelligence Challenge. - Medha Atre:
Algorithms and Analysis for the SPARQL Constructs. - Kirsty Aquilina, David A. W. Barton, Nathan F. Lepora:
Principal Components of Touch. - Guy Louchard, Yvik Swan:
The Adaptive sampling revisited. - Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A universal framework for learning based on the elliptical mixture model (EMM). - Sayak Ray Chowdhury, Aditya Gopalan:
Online Learning in Kernelized Markov Decision Processes. - Jan Christiansen, Sandra Dylus, Finn Teegen:
One Monad to Prove Them All (Functional Pearl). - Anil Yesilkaya, Onur Karatalay, Arif Selçuk Ögrenci, Erdal Panayirci:
Channel Estimation for Visible Light Communications Using Neural Networks. - Nicolas Keriven, Damien Garreau, Iacopo Poli:
NEWMA: a new method for scalable model-free online change-point detection. - Rui Wang, Olivier Renaudin, Celalettin Umit Bas, Seun Sangodoyin, Andreas F. Molisch:
On channel sounding with switched arrays in fast time-varying channels. - Menachem Adelman, Mark Silberstein:
Faster Neural Network Training with Approximate Tensor Operations. - Muratkhan Abdirash, Irina Dolzhikova, Alex Pappachen James:
Implementation of Chua's chaotic oscillator with an HP memristor. - Malika Jallouli, Wafa Belhadj Khalifa, Anouar Ben Mabrouk, Mohamed Ali Mahjoub:
Spherical harmonics entropy for optimal 3D modeling. - Bahaa Al-Musawi, Philip Branch:
Identifying OSPF Anomalies Using Recurrence Quantification Analysis. - Kai Liu, Jianwei Gong, Huiyan Chen:
VPH+ and MPC Combined Collision Avoidance for Unmanned Ground Vehicle in Unknown Environment. - Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. - Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer:
NeuralREG: An end-to-end approach to referring expression generation. - Faqiang Wang, Haiyang Huang, Jun Liu:
Variational based Mixed Noise Removal with CNN Deep Learning Regularization. - João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi:
Small steps and giant leaps: Minimal Newton solvers for Deep Learning. - Shi-Qi Liu, Zilu Ma, Deyu Meng:
Understanding Self-Paced Learning under Concave Conjugacy Theory. - Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Invariant Representations from Adversarially Censored Autoencoders. - Gerhard Jäger:
Computational Historical Linguistics. - Touqeer Ahmad, Pavel Campr, Martin Cadík, George Bebis:
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection. - Joachim Breitner:
The sufficiently smart compiler is a theorem prover. - Daniel Bonilla Licea, Desmond C. McLernon, Mounir Ghogho, Edmond Nurellari, Syed Ali Raza Zaidi:
Robotic Mobility Diversity Algorithm with Continuous Search Space. - Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei Zhang:
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning. - Matteo Pontecorvi, Vijaya Ramachandran:
Distributed Algorithms for Directed Betweenness Centrality and All Pairs Shortest Paths. - Anish Agarwal, Munther A. Dahleh, Tuhin Sarkar:
A Marketplace for Data: An Algorithmic Solution. - Annie Liang, Xiaosheng Mu:
Overabundant Information and Learning Traps. - Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi:
Meta-learning with differentiable closed-form solvers. - (Withdrawn) Robot Path Planning Algorithms: A Review of Theory and Experiment.
- Steve Hanneke, Aryeh Kontorovich:
A New Lower Bound for Agnostic Learning with Sample Compression Schemes. - Krishna Gopal Benerjee, Manish Kumar Gupta:
On Universally Good Flower Codes. - Georgios P. Spithourakis, Sebastian Riedel:
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. - Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
VideoCapsuleNet: A Simplified Network for Action Detection. - Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. - Enrico Mariconti, Guillermo Suarez-Tangil, Jeremy Blackburn, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Jordi Luque Serrano, Gianluca Stringhini:
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. - Haochao Huang:
Cancer Research UK Drug Discovery Process Mining. - Qiuyuan Huang, Pengchuan Zhang, Dapeng Oliver Wu, Lei Zhang:
Turbo Learning for Captionbot and Drawingbot. - Shagun Sodhani, Vardaan Pahuja:
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering". - Denis K. Ponomaryov:
A Polytime Delta-Decomposition Algorithm for Positive DNFs. - (Withdrawn) Hierarchical Reinforcement Learning with Hindsight.
- Anastassia Kornilova, Daniel Argyle, Vlad Eidelman:
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction. - Chun-Guang Li, Junjian Zhang, Jun Guo:
Constrained Sparse Subspace Clustering with Side-Information. - Pavel G. Emelyanov, Denis K. Ponomaryov:
On Polytime Algorithm for Factorization of Multilinear Polynomials Over F2. - Akash Kumar, C. Seshadhri, Andrew Stolman:
Fiding forbidden minors in sublinear time: a O(n1/2 + o(1))-query one-sided tester for minor closed properties on bounded degree graphs. - Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Oliver Wu, Jianfeng Wang, Xiaodong He:
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation. - Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama:
Masking: A New Perspective of Noisy Supervision. - Noam Brown, Tuomas Sandholm, Brandon Amos:
Depth-Limited Solving for Imperfect-Information Games. - Asish Ghoshal, Jean Honorio:
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time. - Yonatan Geifman, Guy Uziel, Ran El-Yaniv:
Boosting Uncertainty Estimation for Deep Neural Classifiers. - Milan Sulc, Jiri Matas:
Improving CNN classifiers by estimating test-time priors. - Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez:
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. - Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins:
Sparse and Constrained Attention for Neural Machine Translation. - Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho:
Classifier-agnostic saliency map extraction. - Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi:
Sample Compression for Real-Valued Learners. - Samuele Giraudo, Stéphane Vialette:
Algorithmic and algebraic aspects of unshuffling permutations. - Md. Solimul Chowdhury, Victor Silva:
Evolving Real-Time Heuristics Search Algorithms with Building Blocks. - Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model. - Naman Agarwal, Alon Gonen:
Effective Dimension of Exp-concave Optimization. - Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. - Akbar Siami Namin, Rattikorn Hewett, Keith S. Jones, Rona L. Pogrund:
The Sounds of Cyber Threats. - Sanchit Alekh:
Human Aspects and Perception of Privacy in Relation to Personalization. - Cyril Grunspan, Ricardo Pérez-Marco:
On profitability of selfish mining. - Dor Shaviv, Ayfer Özgür, Amin Arbabian:
Communication with Crystal-Free Radios. - Johannes de Fine Licht, Maciej Besta, Simon Meierhans, Torsten Hoefler:
Transformations of High-Level Synthesis Codes for High-Performance Computing. - Ari S. Benjamin, David Rolnick, Konrad P. Körding:
Measuring and regularizing networks in function space. - Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine:
Data-Efficient Hierarchical Reinforcement Learning. - Wuwei Lan, Wei Xu:
Character-based Neural Networks for Sentence Pair Modeling. - Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. - Daniel Méndez Fernández, Jan-Hendrik Passoth:
Empirical Software Engineering: From Discipline to Interdiscipline. - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints. - Nina Miolane, Johan Mathe, Claire Donnat, Mikael Jorda, Xavier Pennec:
geomstats: a Python Package for Riemannian Geometry in Machine Learning. - Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. - Mohammad Ghasemzadeh, Fang Lin, Bita Darvish Rouhani, Farinaz Koushanfar, Ke Huang:
AgileNet: Lightweight Dictionary-based Few-shot Learning. - Jessie Huang, Fa Wu, Doina Precup, Yang Cai:
Learning Safe Policies with Expert Guidance. - Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre:
Learning long-range spatial dependencies with horizontal gated-recurrent units. - Sarah M. Ackerman, G. Matthew Fricke, Joshua P. Hecker, Kastro M. Hamed, Samantha R. Fowler, Antonio D. Griego, Jarett C. Jones, J. Jake Nichol, Kurt W. Leucht, Melanie E. Moses:
The Swarmathon: An Autonomous Swarm Robotics Competition. - Vivek Kumar Bagaria, Govinda M. Kamath, David N. C. Tse:
Adaptive Monte-Carlo Optimization. - Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to Forgetful Learners. - Michael Motro, Joydeep Ghosh:
Measurement-wise Occlusion in Multi-object Tracking. - Osbert Bastani, Yewen Pu, Armando Solar-Lezama:
Verifiable Reinforcement Learning via Policy Extraction. - Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu:
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. - Hosein Mohammadi Makrani:
Storage and Memory Characterization of Data Intensive Workloads for Bare Metal Cloud. - Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. - Jie Ding, Daiming Qu, Hao Jiang, Tao Jiang:
Success Probability of Grant-Free Random Access with Massive MIMO. - (Withdrawn) How To Solve Moral Conundrums with Computability Theory.
- Chuang Wang, Hong Hu, Yue M. Lu:
A Solvable High-Dimensional Model of GAN. - Shereen Oraby, Lena Reed, Shubhangi Tandon, Sharath T. S., Stephanie M. Lukin, Marilyn A. Walker:
Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators. - Anson Bastos:
Learning sentence embeddings using Recursive Networks. - Dian Lei, Xiaoxiao Chen, Jianfei Zhao:
Opening the black box of deep learning. - Huy L. Nguyen, Lydia Zakynthinou:
Improved Algorithms for Collaborative PAC Learning. - Xiao Zhang, Xinping Xu, Lingjie Duan:
Economics of UAV-aided Mobile Services Deployment. - Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo:
DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. - Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. - Kriti Nelavelli, Thomas Ploetz:
Adaptive App Design by Detecting Handedness. - Zhenzhen Hu, Peng Sun, Yonggang Wen:
Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization. - Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Joint Image Captioning and Question Answering. - Michael C. Mozer, Denis Kazakov, Robert V. Lindsey:
State-Denoised Recurrent Neural Networks. - Yichen Wang, Le Song, Hongyuan Zha:
Learning to Optimize via Wasserstein Deep Inverse Optimal Control. - Rudresh Dwivedi, Somnath Dey, Mukul Anand Sharma, Apurv Goel:
A fingerprint based crypto-biometric system for secure communication. - Faisal Mahmood, Richard J. Chen, Sandra Sudarsky, Daphne Yu, Nicholas J. Durr:
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images. - Tyler R. Scott, Karl Ridgeway, Michael C. Mozer:
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning. - Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. - Antoine El-Hokayem, Yliès Falcone, Mohamad Jaber:
Modularizing Behavioral and Architectural Crosscutting Concerns in Formal Component-Based Systems - Application to the Behavior Interaction Priority Framework. - Mohammadamir Kavousi, Sepehr Saadatmand:
Estimating the Rating of Reviewers Based on the Text. - Nizar Massouh:
Training Convolutional Networks with Web Images. - Huai-Qian Khor, John See, Raphael C.-W. Phan, Weiyao Lin:
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition. - Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong:
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities. - Jiangtao Wang, Yasha Wang, Daqing Zhang, Qin Lv, Chao Chen:
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions. - Matthew W. Morency, Sergiy A. Vorobyov, Geert Leus:
Joint Detection and Localization of an Unknown Number of Sources Using Algebraic Structure of the Noise Subspace. - Willem Conradie, Salih Durhan, Guido Sciavicco:
An Integrated First-Order Theory of Points and Intervals over Linear Orders (Part I). - Yury Zhauniarovich, Issa Khalil, Ting Yu, Marc Dacier:
A Survey on Malicious Domains Detection through DNS Data Analysis. - Long Ouyang:
Bayesian Inference of Regular Expressions from Human-Generated Example Strings. - Yackolley Amoussou-Guenou, Antonella Del Pozzo, Maria Potop-Butucaru, Sara Tucci Piergiovanni:
Correctness and Fairness of Tendermint-core Blockchains. - Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. - Cem Bozsahin, Arzu Burcu Guven:
Paracompositionality, MWEs and Argument Substitution. - Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk:
Classification Uncertainty of Deep Neural Networks Based on Gradient Information. - Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
Scene Coordinate and Correspondence Learning for Image-Based Localization. - Kensuke Harada, Weiwei Wan, Tokuo Tsuji, Kohei Kikuchi, Kazuyuki Nagata, Hiromu Onda:
Experiments on Learning Based Industrial Bin-picking with Iterative Visual Recognition. - Thom W. Frühwirth:
Rule-Based Drawing, Analysis and Generation of Graphs for Mason's Mark Design. - Silje Christensen, Simen Johnsrud, Massimiliano Ruocco, Heri Ramampiaro:
Context-Aware Sequence-to-Sequence Models for Conversational Systems. - Michael Lampis, Stefan Mengel, Valia Mitsou:
QBF as an Alternative to Courcelle's Theorem. - Davide Fiore, Giovanni Russo:
Resilient consensus for multi-agent systems subject to differential privacy requirements. - Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano:
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. - Boyu Chen, Wenlian Lu:
Meta-Learning with Hessian Free Approach in Deep Neural Nets Training. - Chao Li, Mohammad Emtiyaz Khan, Shengli Xie, Qibin Zhao:
Low-Rank Tensor Decomposition via Multiple Reshaping and Reordering Operations. - Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. - Joeri Hermans, Gilles Louppe:
Gradient Energy Matching for Distributed Asynchronous Gradient Descent. - Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva:
Decoupling multivariate functions using second-order information and tensors. - Jiangtao Wang, Feng Wang, Yasha Wang, Leye Wang, Zhaopeng Qiu, Daqing Zhang, Bin Guo, Qin Lv:
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing. - Wei Wang, Jinjin Zhang, Chenyang Si, Liang Wang:
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos. - Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov:
Generative Code Modeling with Graphs. - Tao Yu, Yu Qiao, Huan Long:
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images. - Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang:
Blind Predicting Similar Quality Map for Image Quality Assessment. - Michael Figurnov, Shakir Mohamed, Andriy Mnih:
Implicit Reparameterization Gradients. - Renato Farias, Marcelo Kallmann:
Improved Shortest Path Maps with GPU Shaders. - Philippe Esling, Axel Chemla-Romeu-Santos, Adrien Bitton:
Generative timbre spaces with variational audio synthesis. - Roman Seidel, André Apitzsch, Gangolf Hirtz:
OmniDetector: With Neural Networks to Bounding Boxes. - Oleksii Oleksenko, Bohdan Trach, Tobias Reiher, Mark Silberstein, Christof Fetzer:
You Shall Not Bypass: Employing data dependencies to prevent Bounds Check Bypass. - George De Ath, Richard M. Everson:
Part-Based Tracking by Sampling. - Mark Raasveldt, Hannes Mühleisen:
MonetDBLite: An Embedded Analytical Database. - Tao Zhuang, Wenwu Ou, Zhirong Wang:
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search. - Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, Zhaopeng Qiu:
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing. - David Pride, Petr Knoth:
Peer review and citation data in predicting university rankings, a large-scale analysis. - Raphaël Berthier, Francis R. Bach, Pierre Gaillard:
Gossip of Statistical Observations using Orthogonal Polynomials. - Pierre Karpman, Daniel S. Roche:
New Instantiations of the CRYPTO 2017 Masking Schemes. - Nora Al-Twairesh, Hend S. Al-Khalifa, AbdulMalik Al-Salman, Yousef Al-Ohali:
Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach. - Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Learning over Multitask Graphs - Part I: Stability Analysis. - Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen:
Fully Understanding the Hashing Trick. - Marcus Brandenburger, Christian Cachin, Rüdiger Kapitza, Alessandro Sorniotti:
Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric. - Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. - Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals:
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery. - Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Learning over Multitask Graphs - Part II: Performance Analysis. - Laura Alessandretti, Abeer ElBahrawy, Luca Maria Aiello, Andrea Baronchelli:
Anticipating cryptocurrency prices using machine learning. - Che Kun Law, Darshit Dalal, Stephen Shearrow:
Robust Model Predictive Control for Autonomous Vehicles/Self Driving Cars. - Amir Abboud, Karl Bringmann, Holger Dell, Jesper Nederlof:
More Consequences of Falsifying SETH and the Orthogonal Vectors Conjecture. - Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. - Vidya Muthukumar, Mitas Ray, Anant Sahai, Peter L. Bartlett:
Best of many worlds: Robust model selection for online supervised learning. - Ihab S. Mohamed, Alessio Capitanelli, Fulvio Mastrogiovanni, Stefano Rovetta, Renato Zaccaria:
A 2D laser rangefinder scans dataset of standard EUR pallets. - Stefan Richthofer, Laurenz Wiskott:
Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks. - Andrei Ciupan:
Efficient Auctions With Common Values. - Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks. - Yongkun Wang, Yaohui Jin, Bo Fan:
What has been Revealed by Urban Grid Data of Shanghai. - Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff:
On Coresets for Logistic Regression. - Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. - Min Chen:
Cost-Benefit Analysis of Data Intelligence - Its Broader Interpretations. - Lars Johannsmeier, Malkin Gerchow, Sami Haddadin:
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control. - Samira Attou, Ludovic Mignot, Djelloul Ziadi:
The Bottom-Up Position Tree Automaton, the Father Automaton and their Compact Versions. - Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez:
Deep Feature Aggregation with Heat Diffusion for Image Retrieval. - Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao:
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. - Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. - Susumu Katayama:
Computable Variants of AIXI which are More Powerful than AIXItl. - Nathan Kallus, Angela Zhou:
Confounding-Robust Policy Improvement. - Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq:
Neural Generative Models for Global Optimization with Gradients. - Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Ulrich Rückert:
Towards Inverse Sensor Mapping in Agriculture. - Ying Mao, Jenna Oak, Anthony Pompili, Daniel Beer, Tao Han, Peizhao Hu:
DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster. - Timothy M. Chan, Yakov Nekrich, Saladi Rahul, Konstantinos Tsakalidis:
Orthogonal Point Location and Rectangle Stabbing Queries in 3-d. - Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger:
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. - Chris Heunen, Robin Kaarsgaard, Martti Karvonen:
Reversible effects as inverse arrows. - Domenico Cantone, Marianna Nicolosi Asmundo, Daniele Francesco Santamaria:
A set-based reasoner for the description logic \shdlssx (Extended Version). - Wei Wang, Lin Yang, Qian Zhang:
Resonance-based Secure Pairing for Wearables. - Nicolas Auger, Vincent Jugé, Cyril Nicaud, Carine Pivoteau:
On the Worst-Case Complexity of TimSort. - Kemal Guner, Md. S. Q. Zulkar Nine, Tevfik Kosar, Muhammed Fatih Bulut:
Energy-Efficient Mobile Network I/O Optimization at the Application Layer. - Shin Fujieda, Kohei Takayama, Toshiya Hachisuka:
Wavelet Convolutional Neural Networks. - Parameswaran Kamalaruban:
Transitions, Losses, and Re-parameterizations: Elements of Prediction Games. - Seyed Hamed Fatemi Langroudi, Tej Pandit, Dhireesha Kudithipudi:
Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit. - Ayan Dutta, Vladimir Ufimtsev, Asai Asaithambi:
Correlation Clustering Based Coalition Formation For Multi-Robot Task Allocation. - Witold Dyrka, François Coste, Juliette Talibart:
Estimating probabilistic context-free grammars for proteins using contact map constraints. - A. Z. M. Ehtesham Chowdhury, Abhijit Bhowmik, Hasibul Hasan, Md Shamsur Rahim:
Analysis of the Veracities of Industry Used Software Development Life Cycle Methodologies. - Xiang Chen:
Towards Global Optimization in Display Advertising by Integrating Multimedia Metrics with Real-Time Bidding. - John Femiani, Wamiq Reyaz Para, Niloy J. Mitra, Peter Wonka:
Facade Segmentation in the Wild. - Wenqian Huang, Dong-Min Kim, Wenrui Ding, Petar Popovski:
Joint Configuration of Transmission Direction and Altitude in UAV-based Two-Way Communication. - Ruida Zhou, Chao Gan, Jing Yang, Cong Shen:
Cost-aware Cascading Bandits. - Manuel Pöter, Jesper Larsson Träff:
Stamp-it: A more Thread-efficient, Concurrent Memory Reclamation Scheme in the C++ Memory Model. - Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo:
Speaker Clustering Using Dominant Sets. - Deniz Ozsoyeller:
Multi-robot Symmetric Rendezvous Search on the Line with an Unknown Initial Distance. - Vikram Ravindra, Petros Drineas, Ananth Grama:
Constructing Compact Brain Connectomes for Individual Fingerprinting. - Pietro Michiardi, Damiano Carra, Sara Migliorini:
Cache-based Multi-query Optimization for Data-intensive Scalable Computing Frameworks. - Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
Robust Conditional Generative Adversarial Networks. - Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic:
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment. - Xirong Li, Xiaoxu Wang, Chaoxi Xu, Weiyu Lan, Qijie Wei, Gang Yang, Jieping Xu:
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval. - Ibraheem Kasim Ibraheem, Wameedh Riyadh Abdul Adheem:
A Novel Second-Order Nonlinear Differentiator With Application to Active Disturbance Rejection Control. - Romain Lopez, Jeffrey Regier, Nir Yosef, Michael I. Jordan:
Information Constraints on Auto-Encoding Variational Bayes. - Renato P. dos Santos, Melanie Swan:
PoW, PoS, & Hybrid protocols: A Matter of Complexity? - Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang:
Convexity Shape Prior for Level Set based Image Segmentation Method. - Thomas Vogel, Stefan Neumann, Stephan Hildebrandt, Holger Giese, Basil Becker:
Model-Driven Architectural Monitoring and Adaptation for Autonomic Systems. - Thomas Vogel, Holger Giese:
A language for feedback loops in self-adaptive systems: Executable runtime megamodels. - Thomas Vogel, Holger Giese:
Requirements and Assessment of Languages and Frameworks for Adaptation Models. - Andreas Nuyts:
Presheaf Models of Relational Modalities in Dependent Type Theory. - Simone Bianco, Luigi Celona, Raimondo Schettini:
Aesthetics Assessment of Images Containing Faces. - Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole:
Attaining human-level performance for anatomical landmark detection in 3D CT data. - Xianzhi Du, Mostafa El-Khamy, Vlad I. Morariu, Jungwon Lee, Larry S. Davis:
Fused Deep Neural Networks for Efficient Pedestrian Detection. - Sascha Wirges, Tom Fischer, Jesus Balado Frias, Christoph Stiller:
Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks. - Tianlin Liu, Arvid Kappas:
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs. - Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal:
Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. - Amanda Ramcharan, Peter McCloskey, Kelsee Baranowski, Neema Mbilinyi, Latifa Mrisho, Mathias Ndalahwa, James Legg, David Hughes:
Assessing a mobile-based deep learning model for plant disease surveillance. - Brian L. DeCost, Toby Francis, Elizabeth A. Holm:
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel. - Hessel Tuinhof, Clemens Pirker, Markus Haltmeier:
Image Based Fashion Product Recommendation with Deep Learning. - Panagiotis G. Mousouliotis, Loukas P. Petrou:
SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks. - Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes:
Imitation Refinement. - Sze-Teng Liong, Yee Siang Gan, Wei-Chuen Yau, Yen-Chang Huang, Tan Lit Ken:
OFF-ApexNet on Micro-expression Recognition System. - Saifuddin Hitawala:
Evaluating ResNeXt Model Architecture for Image Classification. - Soumil Mandal, Karthick Nanmaran:
Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model & Levenshtein Distance. - Darlington Ahiale Akogo, Xavier-Lewis Palmer:
ScaffoldNet: Detecting and Classifying Biomedical Polymer-Based Scaffolds via a Convolutional Neural Network. - Jin Wu, Ming Liu, Zebo Zhou, Rui Li:
Fast Symbolic 3D Registration Solution. - Tian Han, Jiawen Wu, Ying Nian Wu:
Replicating Active Appearance Model by Generator Network. - Shifeng Zhang, Jianmin Li, Bo Zhang:
Semantic Cluster Unary Loss for Efficient Deep Hashing. - Jignesh S. Bhatt, N. Padmanabhan:
Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO. - Pasquale Iero, Allan Third, Paul Piwek:
A syllogistic system for propositions with intermediate quantifiers. - A. Emin Orhan:
A Simple Cache Model for Image Recognition. - Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt:
A Distributed Version of the Hungarian Method for Multi-Robot Assignment. - Meike Zehlike, Carlos Castillo:
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach. - (Withdrawn) Automatic Adaptation of Person Association for Multiview Tracking in Group Activities.
- Andrew Cutler, Brian Kulis:
Inferring Human Traits From Facebook Statuses. - Ugo Tanielian, Mike Gartrell, Flavian Vasile:
Adversarial Training of Word2Vec for Basket Completion. - Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Algorithms and Theory for Multiple-Source Adaptation. - Marta Ortín, Adrián Jarabo, Belén Masiá, Diego Gutierrez:
Analyzing Interfaces and Workflows for Light Field Editing. - Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
CascadeCNN: Pushing the performance limits of quantisation. - Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model. - Jiawei Zhang, Limeng Cui, Yanjie Fu, Fisher B. Gouza:
Fake News Detection with Deep Diffusive Network Model. - Adelina Madhja, Sotiris E. Nikoletseas, Dimitrios Tsolovos, Alexandros A. Voudouris:
Peer-to-Peer Energy-Aware Tree Network Formation. - Tamás Fleiner, Zsuzsanna Jankó, Ildikó Schlotter, Alexander Teytelboym:
Complexity of Stability in Trading Networks. - Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. - Baljit Kaur, Jhilik Bhattacharya:
A Convolutional Feature Map based Deep Network targeted towards Traffic Detection and Classification. - Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro:
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. - Mirco Milletarí, Thiparat Chotibut, Paolo E. Trevisanutto:
Expectation propagation: a probabilistic view of Deep Feed Forward Networks. - Baljit Kaur, Jhilik Bhattacharya:
A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN. - Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang:
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. - Russell L. Jones, Muhammad Samir Khan, Nitin H. Vaidya:
Optimal Record and Replay under Causal Consistency. - Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger:
Resource Aware Person Re-identification across Multiple Resolutions. - Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d'Alché-Buc:
Infinite-Task Learning with Vector-Valued RKHSs. - Asad Ullah Awan, Majid Zamani:
From Dissipativity Theory to Compositional Abstractions of Interconnected Stochastic Hybrid Systems. - Szymon Grabowski, Wojciech Bieniecki:
copMEM: Finding maximal exact matches via sampling both genomes. - Drew Linsley, Dan Scheibler, Sven Eberhardt, Thomas Serre:
Global-and-local attention networks for visual recognition. - Anaël Grandjean, Benjamin Hellouin de Menibus, Pascal Vanier:
Aperiodic points in 𝒁2-subshifts. - Célestin Marot, Jeanne Pellerin, Jean-François Remacle:
One machine, one minute, three billion tetrahedra. - Fabian Ritz, Alf Zugenmaier:
The Impact of Uncle Rewards on Selfish Mining in Ethereum. - Shai Ben-David:
Clustering - What Both Theoreticians and Practitioners are Doing Wrong. - Joseph Paul Cohen, Margaux Luck, Sina Honari:
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. - Kavon Farvardin, John H. Reppy:
Compiling with Continuations and LLVM. 131-142 - H. Gorune Ohannessian, George Turkiyyah, Aron J. Ahmadia, David I. Ketcheson:
CUDACLAW: A high-performance programmable GPU framework for the solution of hyperbolic PDEs. - Reinhard Heckel, Wen Huang, Paul Hand, Vladislav Voroninski:
Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior. - Natasha Fernandes, Mark Dras, Annabelle McIver:
Author Obfuscation Using Generalised Differential Privacy. - William Pourmajidi, Andriy V. Miranskyy:
Logchain: Blockchain-assisted Log Storage. - Debasmit Das, C. S. George Lee:
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching. - Z. Berkay Celik, Patrick D. McDaniel, Gang Tan:
Soteria: Automated IoT Safety and Security Analysis. - Chidubem Arachie, Bert Huang:
Adversarial Labeling for Learning without Labels. - Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe:
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets. - Adam Gleave, Oliver Habryka:
Multi-task Maximum Entropy Inverse Reinforcement Learning. - David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard:
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. - Kamil Nar, S. Shankar Sastry:
Step Size Matters in Deep Learning. - Michael Kenzel, Bernhard Kerbl, Wolfgang Tatzgern, Elena Ivanchenko, Dieter Schmalstieg, Markus Steinberger:
On-the-fly Vertex Reuse for Massively-Parallel Software Geometry Processing. - Eray Tüzün, Hakan Erdogmus, Izzet Gökhan Özbilgin:
Are Computer Science and Engineering Graduates Ready for the Software Industry? Experiences from an Industrial Student Training Program. - Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed:
Rate-Maximizing OFDM Pilot Patterns for UAV Communications in Nonstationary A2G Channels. - Ömer Sümer, Patricia Goldberg, Kathleen Stürmer, Tina Seidel, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Teacher's Perception in the Classroom. - Deepak Mishra, George C. Alexandropoulos, Swades De:
Energy Sustainable IoT with Individual QoS Constraints Through MISO SWIPT Multicasting. - Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko:
EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization. - Hussein Saad, Aria Nosratinia:
Community Detection with Side Information: Exact Recovery under the Stochastic Block Model. - Tianle Ma, Aidong Zhang:
AffinityNet: semi-supervised few-shot learning for disease type prediction. - Ganesh Prasad, Deepak Mishra, Ashraf Hossain:
Joint Optimal Design for Outage Minimization in DF Relay-assisted Underwater Acoustic Networks. - Yuyang Wang, Murali Narasimha, Robert W. Heath Jr.:
MmWave Beam Prediction with Situational Awareness: A Machine Learning Approach. - Ruixi Lin, Charles Costello, Charles Jankowski:
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques. - Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy:
A Psychopathological Approach to Safety Engineering in AI and AGI. - Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis:
Approximate Newton-based statistical inference using only stochastic gradients. - Jinsong Hu, Shihao Yan, Xiangyun Zhou, Feng Shu, Jiangzhou Wang:
Covert Transmission with Harvested Energy by a Wireless Powered Relay. - Andrew D. Back, Daniel Angus, Janet Wiles:
Determining the Number of Samples Required to Estimate Entropy in Natural Sequences. - Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings:
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. - Ryo Matsumura, Kensuke Harada, Yukiyasu Domae, Weiwei Wan:
Learning Based Industrial Bin-picking Trained with Approximate Physics Simulator. - Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang:
Approximate Random Dropout. - Jian-Hao Luo, Jianxin Wu:
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference. - Neeraj Varshney, Prabhat Kumar Sharma, Mohamed-Slim Alouini:
Opportunistic Scheduling in Underlay Cognitive Radio based MIMO-RF/FSO Networks. - Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra L. Bhaduri:
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States. - Maria Dimakopoulou, Ian Osband, Benjamin Van Roy:
Scalable Coordinated Exploration in Concurrent Reinforcement Learning. - Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig:
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow. - Tsung-Han Lin, Ping Tak Peter Tang:
Dictionary Learning by Dynamical Neural Networks. - Sourav Chakraborty, Shamik Ghosh, Nitesh Jha, Sasanka Roy:
Maximal and maximum transitive relation contained in a given binary relation. - Prasad Krishnan:
Coded Caching via Line Graphs of Bipartite Graphs. - Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar:
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization. - Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai:
A Brand-level Ranking System with the Customized Attention-GRU Model. - Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro:
ICADx: Interpretable computer aided diagnosis of breast masses. - Sungheon Park, Nojun Kwak:
3D Human Pose Estimation with Relational Networks. - Kensuke Harada, Kento Nakayama, Weiwei Wan, Kazuyuki Nagata, Natsuki Yamanobe, Ixchel Georgina Ramirez-Alpizar:
Tool Exchangeable Grasp/Assembly Planner. - Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. - Pei Guo, Connor Anderson, Kolten Pearson, Ryan Farrell:
Neural Network Interpretation via Fine Grained Textual Summarization. - Yair Rivenson, Aydogan Ozcan:
Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction. - Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma:
DRPose3D: Depth Ranking in 3D Human Pose Estimation. - Simon Kornblith, Jonathon Shlens, Quoc V. Le:
Do Better ImageNet Models Transfer Better? - Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. - Simran Dokania, Aditya Paliwal, Shrisha Rao:
Distributed Approximation Algorithms for the Combinatorial Motion Planning Problem. - Alexander Spiegelman, Idit Keidar, Moshe Tennenholtz:
Game of Coins. - Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang:
RGB-T Object Tracking: Benchmark and Baseline. - Jonggu Kim, Doyeon Kong, Jong-Hyeok Lee:
Self-Attention-Based Message-Relevant Response Generation for Neural Conversation Model. - Won-je Kim, Song-il Cha, Kyong-Jin Sok:
On the Formal Model for IEC 61499 Composite Function Blocks. - Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer:
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. - Tao Xu, Kun Sun, Wenbing Tao:
GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction. - David Vilares, Carlos Gómez-Rodríguez:
A Transition-based Algorithm for Unrestricted AMR Parsing. - Adrian Santos, Omar S. Gómez, Natalia Juristo:
Analyzing Families of Experiments in SE: A Systematic Mapping Study. - Christoph Anderson, Isabel Suarez, Yaqian Xu, Klaus David:
An Ontology-Based Reasoning Framework for Context-Aware Applications. - Hai-Jin Ding, Re-Bing Wu, Qian-Chuan Zhao:
Networked Control Systems Secured by Quantum Key Distribution. - Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde:
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages. - Cyril Banderier, Philippe Marchal, Michael Wallner:
Rectangular Young tableaux with local decreases and the density method for uniform random generation (short version). - Abdessalam Elhabbash, Faiza Samreen, James Hadley, Yehia Elkhatib:
Cloud Brokerage: A Systematic Survey. - Qingzhong Wang, Antoni B. Chan:
CNN+CNN: Convolutional Decoders for Image Captioning. - Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
Addressing the Item Cold-start Problem by Attribute-driven Active Learning. - Philippe Jacquet, Dimitris Milioris, Wojciech Szpankowski:
Joint String Complexity for Markov Sources: Small Data Matters. - Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials. - Xi Yang, Xinbo Gao, Bin Song, Nannan Wang, Dong Yang:
Saliency deep embedding for aurora image search. - Sotirios Chatzis, Aristotelis Charalampous, Kyriacos Tolias, Sotiris A. Vassou:
Amortized Context Vector Inference for Sequence-to-Sequence Networks. - Rahma Mahmood, Qusay H. Mahmoud:
Evaluation of Static Analysis Tools for Finding Vulnerabilities in Java and C/C++ Source Code. - James C. R. Whittington, Timothy H. Muller, Caswell Barry, Timothy Edward John Behrens:
Generalisation of structural knowledge in the Hippocampal-Entorhinal system. - Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill:
Representation Balancing MDPs for Off-Policy Policy Evaluation. - Yao Liu, Emma Brunskill:
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms. - Ibón Guillén, Carlos Ureña, Alan King, Marcos Fajardo, Iliyan Georgiev, Jorge López-Moreno, Adrián Jarabo:
Area-preserving parameterizations for spherical ellipses. - Nir Weinberger, Ofer Shayevitz:
Guessing with a Bit of Help. - Ted Hurley, Donny Hurley, Barry Hurley:
Quantum error-correcting codes: the unit-derived strategy. - David Vilares, Carlos Gómez-Rodríguez:
Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter. - György Csaba, Wolfgang Porod:
Perspectives of Using Oscillators for Computing and Signal Processing. - Indrajeet Yadav, Kevin Eckenhoff, Guoquan Huang, Herbert G. Tanner:
Visual-Inertial Target Tracking and Motion Planning for UAV-based Radiation Detection. - Zhuo Chen, Zhiguo Ding, Xuchu Dai, Robert Schober:
Asymptotic Performance Analysis of GSVD-NOMA Systems with a Large-Scale Antenna Array. - Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Constrained Graph Variational Autoencoders for Molecule Design. - Augusto Santos, Vincenzo Matta, Ali H. Sayed:
Local Tomography of Large Networks under the Low-Observability Regime. - Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker:
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures. - Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino:
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. - Jaeyoung Yoo, Sang-Ho Lee, Nojun Kwak:
Image Restoration by Estimating Frequency Distribution of Local Patches. - Amir Kafshdar Goharshady, Ali Behrouz, Krishnendu Chatterjee:
Secure Credit Reporting on the Blockchain. - Xuan-Yu Wang, Wen-Xuan Liao, Dong An, Yaoguang Wei:
Maize Haploid Identification via LSTM-CNN and Hyperspectral Imaging Technology. - Jelena Mladenovic, Jérémy Frey, Emmanuel Maby, Mateus Joffily, Fabien Lotte, Jérémie Mattout:
Active Inference for Adaptive BCI: application to the P300 Speller. - Julien Tierny, Guillaume Favelier, Joshua A. Levine, Charles Gueunet, Michael Michaux:
The Topology ToolKit. - Samuel Vogel, Stephan Rudolph:
Complex System Design with Design Languages: Method, Applications and Design Principles. - Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann:
Hyperbolic Neural Networks. - Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin:
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. - Judith Gaspers, Penny Karanasou, Rajen Chatterjee:
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System. - Patrice Bellot, Wided Bakari, Mahmoud Neji:
A logical representation of Arabic questions toward automatic passage extraction from the Web. - Quang Loc Le:
Decidable Logics Combining Word Equations, Regular Expressions and Length Constraints. - Huiping Shen, Chengqi Wu, Damien Chablat, Guang Wu, Tingli Yang:
Topological design of an asymmetric 3-translational parallel mechanism with zero coupling degree and motion decoupling. - Onur Mutlu, Saugata Ghose, Rachata Ausavarungnirun:
Recent Advances in DRAM and Flash Memory Architectures. - Maryam Sepehri, Marco Frasca:
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples. - Vikram Mullachery, Vishal Motwani:
Image Captioning. - Zhenan Feng, Vicente A. González, Robert Amor, Ruggiero Lovreglio, Guillermo Cabrera-Guerrero:
Immersive Virtual Reality Serious Games for Evacuation Training and Research: A Systematic Literature Review. - Elad Yom-Tov:
Demographic differences in search engine use with implications for cohort selection. - Lucas Andrade, Juliao Braga, Stefany Pereira, Rafael Roque, Marcelo Santos:
In-Person and Remote Participation Review at IETF: Collaborating Without Borders. - Fergus Uchenna Onu, S. U. M. Osagie, M. A. John-Otumu, M. E. Igboke:
OOP and its Calculated Measures in Programming Interactivity. - Ivan Kovynyov, Ralf Mikut:
Digital Transformation in Airport Ground Operations. - Matthias Jurisch, Bodo Igler:
RDF2Vec-based Classification of Ontology Alignment Changes. - Pierre-André Sunier, Steve Berberat:
Agilit{é} de d{é}veloppement des SI informatis{é}s et outils MDE : d{é}marche p{é}dagogique dans un cours de conception de syst{è}mes d'information informatis{é}s. - Umar Iqbal, Zubair Shafiq, Peter Snyder, Shitong Zhu, Zhiyun Qian, Benjamin Livshits:
AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking. - Miao Xu, Gang Niu, Bo Han, Ivor W. Tsang, Zhi-Hua Zhou, Masashi Sugiyama:
Matrix Co-completion for Multi-label Classification with Missing Features and Labels. - Vernon Asuncion, Yan Zhang:
A New Finitely Controllable Class of Tuple Generating Dependencies: The Triangularly-Guarded Class. - Tjeerd W. Boonstra, Jennifer Nicholas, Quincy J. J. Wong, Frances Shaw, Samuel Townsend, Helen Christensen:
Using smartphone sensor technology for mental health research: Clear obstacles and hidden challenges. - Syeda fariha Bukhari, Maaz Amjad:
A distinct approach to diagnose Dengue Fever with the help of Soft Set Theory. - Nicholas Sharp, Yousuf Soliman, Keenan Crane:
The Vector Heat Method. - Pablo Ramírez-Espinosa, Laureano Moreno-Pozas, José F. Paris, José Antonio Cortés, Eduardo Martos-Naya:
A New Approach to the Statistical Analysis of Non-Central Complex Gaussian Quadratic Forms with Applications. - Lukas Schott, Jonas Rauber, Wieland Brendel, Matthias Bethge:
Robust Perception through Analysis by Synthesis. - Yasmine Boumenir, Fanny Georges, Jeremy Valentin, Guy Rebillard, Birgitta Dresp-Langley:
Wayfinding through an unfamiliar environment. - Xudong Liu, Guodong Guo:
Attributes in Multiple Facial Images. - Nikolay Arefyev, Pavel Ermolaev, Alexander Panchenko:
How much does a word weigh? Weighting word embeddings for word sense induction. - Kevin Bello, Jean Honorio:
Learning latent variable structured prediction models with Gaussian perturbations. - Hadi G. Ghauch, Hossein Shokri Ghadikolaei, Carlo Fischione, Mikael Skoglund:
A Unified Framework for Training Neural Networks. - Jiecao Chen, Qin Zhang, Yuan Zhou:
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. - Rajendra Nagar, Shanmuganathan Raman:
SymmSLIC: Symmetry Aware Superpixel Segmentation and its Applications. - Ram Krishna Pandey, Aswin Vasan, A. G. Ramakrishnan:
Segmentation of Liver Lesions with Reduced Complexity Deep Models. - Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski:
Cramer-Wold AutoEncoder. - Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan:
Subspace Clustering by Block Diagonal Representation. - Davide Bacciu, Andrea Bongiorno:
Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs. - Jie Xu:
Memory efficient distributed sliding super point cardinality estimation by GPU. - Tor Lattimore, Csaba Szepesvári:
Cleaning up the neighborhood: A full classification for adversarial partial monitoring. - Giovanni Pau, Mario Collotta, Vincenzo Maniscalco, Kim-Kwang Raymond Choo:
A fuzzy-PSO system for indoor localization based on visible light communications. - Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun:
Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design. - Douglas Comer, Rajas H. Karandikar, Adib Rastegarnia:
Umbrella: A Unified Software Defined Development Framework. - Tung V. Doan, Giang T. Nguyen, Alexander Kropp, Frank H. P. Fitzek:
APMEC: An Automated Provisioning Framework for Multi-access Edge Computing. - Yae Jee Cho, Kaibin Huang, Chan-Byoung Chae:
V2X Downlink Coverage Analysis with a Realistic Urban Vehicular Model. - Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Mérouane Debbah:
Federated Learning for Ultra-Reliable Low-Latency V2V Communications. - Md. Muzakkir Hussain, Mohammad Saad Alam, M. M. Sufyan Beg:
Fog Assisted Cloud Models for Smart Grid Architectures- Comparison Study and Optimal Deployment. - Abbas Mehrabi, Matti Siekkinen, Antti Ylä-Jääski:
Cache-Aware QoE-Traffic Optimization in Mobile Edge Assisted Adaptive Video Streaming. - Rafael Scarduelli, Pierre-Alain Bourdil, Silvano Dal-Zilio, Didier Le Botlan:
Time-accurate Middleware for the Virtualization of Communication Protocols. - Dianxiong Liu, Yuhua Xu, Jinlong Wang, Yitao Xu, Alagan Anpalagan, Qihui Wu, Hai Wang, Liang Shen:
Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective. - Julio Marco, Adrián Jarabo, Wojciech Jarosz, Diego Gutierrez:
Second-Order Occlusion-Aware Volumetric Radiance Caching. - Stéphane Chrétien, Christophe Guyeux:
Online shortest paths with confidence intervals for routing in a time varying random network. - Marco Buzzelli, Joost van de Weijer, Raimondo Schettini:
Learning Illuminant Estimation from Object Recognition. - Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How:
Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. - Roi Ceren, Prashant Doshi, Keyang He:
Reinforcement Learning for Heterogeneous Teams with PALO Bounds. - Sang-Ha Lee, Soon-Chul Kwon, Jin-Wook Shim, Jeong Eun Lim, Jisang Yoo:
WisenetMD: Motion Detection Using Dynamic Background Region Analysis. - Mikhail Goykhman:
On self-play computation of equilibrium in poker. - Rafid Mahmood, Aaron Babier, Adam Diamant, Timothy C. Y. Chan:
Interior Point Methods with Adversarial Networks. - Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. - Bharat Singh, Mahyar Najibi, Larry S. Davis:
SNIPER: Efficient Multi-Scale Training. - Safa Cicek, Stefano Soatto:
Input and Weight Space Smoothing for Semi-supervised Learning. - Julio Marco, Quercus Hernandez, Adolfo Muñoz, Yue Dong, Adrián Jarabo, Min H. Kim, Xin Tong, Diego Gutierrez:
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging. - Maxime Tremblay, Benjamin Bourassa, David Poulin:
Depth versus Breadth in Convolutional Polar Codes. - Gregory Kalogiannis, George Hassapis:
Reworked Second Order Blind Identification and Support Vector Machine technique towards imagery movement identification from EEG signals. - Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. - Marek Rei, Daniela Gerz, Ivan Vulic:
Scoring Lexical Entailment with a Supervised Directional Similarity Network. - Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez:
Deep Reinforcement Learning of Marked Temporal Point Processes. - Qingyun Wu, Naveen Iyer, Hongning Wang:
Learning Contextual Bandits in a Non-stationary Environment. - Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Semi-supervised classification by reaching consensus among modalities. - Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen:
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. - Benjamin Bourassa, Maxime Tremblay, David Poulin:
Convolutional Polar Codes on Channels with Memory. - Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta:
Anonymizing k-Facial Attributes via Adversarial Perturbations. - Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu:
Predictive Local Smoothness for Stochastic Gradient Methods. - Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu:
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. - Hongyu Gong, Suma Bhat, Pramod Viswanath:
Embedding Syntax and Semantics of Prepositions via Tensor Decomposition. - Carsten Fuhs, Cynthia Kop:
The unified higher-order dependency pair framework. - Rahul Paul:
Classifying cooking object's state using a tuned VGG convolutional neural network. - Rahul Paul:
Pouring Sequence Prediction using Recurrent Neural Network. - Ram Krishna Pandey, A. G. Ramakrishnan:
A hybrid approach of interpolations and CNN to obtain super-resolution. - Markus Giftthaler, Jonas Buchli:
A Projection Approach to Equality Constrained Iterative Linear Quadratic Optimal Control. - Iván Ramírez, Gonzalo Galiano, Emanuele Schiavi:
Non-convex non-local flows for saliency detection. - Sjoerd Dirksen, Shahar Mendelson:
Robust one-bit compressed sensing with non-Gaussian measurements. - Hejian Sang, Jia Liu:
Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time. - Viacheslav Dudar, Vladimir Semenov:
Use of symmetric kernels for convolutional neural networks. - Alexander Conway, Martin Farach-Colton, Philip Shilane:
Optimal Hashing in External Memory. - Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. - Sandeep Nallan Chakravarthula, Brian R. Baucom, Panayiotis G. Georgiou:
Modeling Interpersonal Influence of Verbal Behavior in Couples Therapy Dyadic Interactions. - Ekraam Sabir, Stephen Rawls, Prem Natarajan:
Implicit Language Model in LSTM for OCR. - Rasmus Kyng, Richard Peng, Robert Schwieterman, Peng Zhang:
Incomplete Nested Dissection. - Mojtaba Karimi, Tamay Aykut, Eckehard G. Steinbach:
MAVI: A Research Platform for Telepresence and Teleoperation. - Aryabrata Basu, Kyle Johnsen:
Navigating a maze differently - a user study. - Carlo Tiseo, Ming Jeat Foo, Kalyana C. Veluvolu, Wei Tech Ang:
Deployment of the Saddle Space Transformation in Tracking the Base of Support. - Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan:
Evading the Adversary in Invariant Representation. - Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning For Sequence to Sequence Models. - Cristina Mata, Guy Ben-Yosef, Boris Katz:
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation. - Hadi Saki, Mohammad Shikh-Bahaei:
On the SINR Distribution of SWIPT MU-MIMO with Antenna Selection. - Anastasios Kyrillidis:
Simple and practical algorithms for 𝓁p-norm low-rank approximation. - Hadi Saki, Tong Peng, Mohammad Shikh-Bahaei:
Energy Efficient Delay Sensitive Optimization in SWIPT-MIMO. - Xin Zhang, Jia Liu, Zhengyuan Zhu:
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. - Yi Yang, Andy Chen, Xiaoming Chen, Jiang Ji, Zhenyang Chen, Yan Dai:
Deploy Large-Scale Deep Neural Networks in Resource Constrained IoT Devices with Local Quantization Region. - Devansh Bisla, Anna Choromanska:
VisualBackProp for learning using privileged information with CNNs. - Vaggos Chatziafratis, Rad Niazadeh, Moses Charikar:
Hierarchical Clustering with Structural Constraints. - Rad Niazadeh, Tim Roughgarden, Joshua R. Wang:
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization. - Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction. - Awanthika Senarath, Nalin Asanka Gamagedara Arachchilage:
Why developers cannot embed privacy into software systems? An empirical investigation. - Chamila Wijayarathna, Nalin Asanka Gamagedara Arachchilage:
Why Johnny Can't Store Passwords Securely? A Usability Evaluation of Bouncycastle Password Hashing. - Yang Zhou, Shan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh:
VisemeNet: Audio-Driven Animator-Centric Speech Animation. - Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang:
A Practical Algorithm for Distributed Clustering and Outlier Detection. - Yuanlong Li, Linsen Dong, Yonggang Wen, Kyle Guan:
Intelligent Trainer for Model-Based Reinforcement Learning. - Nobutaka Ito, Tomohiro Nakatani:
FastFCA-AS: Joint Diagonalization Based Acceleration of Full-Rank Spatial Covariance Analysis for Separating Any Number of Sources. - Ekin Dogus Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, Quoc V. Le:
AutoAugment: Learning Augmentation Policies from Data. - Weixuan Chen, Javier Hernandez, Rosalind W. Picard:
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck. - Adam Van Etten:
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery. - Armin Eftekhari, Tamir Bendory, Gongguo Tang:
Stable Super-Resolution of Images. - Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. - Étienne Miquey:
A sequent calculus with dependent types for classical arithmetic. - Ryo Takahashi, Ran Tian, Kentaro Inui:
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. - Iran Ramezanipour, Parisa Nouri, Hirley Alves, Pedro H. J. Nardelli, Richard Demo Souza, Ari Pouttu:
Finite Blocklength Communications in Smart Grids for Dynamic Spectrum Access and Locally Licensed Scenarios. - Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu:
Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms. - Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership. - Alexander Kirillov, Natalia Krizhanovsky, Andrew Krizhanovsky:
WSD-algorithm based on new method of vector-word contexts proximity calculation via epsilon-filtration. - Ioannis Chatzigiannakis, Georgios Mylonas, Irene Mavrommati, Dimitrios Amaxilatis:
IoT-based Big Data Analysis of School Buildings Performance. - Julio Marco, Ibón Guillén, Wojciech Jarosz, Diego Gutierrez, Adrián Jarabo:
Progressive Transient Photon Beams. - Michele Scalas, Davide Maiorca, Francesco Mercaldo, Corrado Aaron Visaggio, Fabio Martinelli, Giorgio Giacinto:
R-PackDroid: Practical On-Device Detection of Android Ransomware. - Ehab ElSalamouny, Sébastien Gambs:
Optimal noise functions for location privacy on continuous regions. - Tianli Liao, Jing Chen, Yifang Xu:
Coarse-to-fine Seam Estimation for Image Stitching. - Shan Zhang, Jiayin Chen, Feng Lyu, Nan Cheng, Weisen Shi, Xuemin Shen:
Vehicular Communication Networks in Automated Driving Era. - François Rousseau, Ronan Fablet:
Residual Networks as Geodesic Flows of Diffeomorphisms. - Ella Rabinovich, Yulia Tsvetkov, Shuly Wintner:
Native Language Cognate Effects on Second Language Lexical Choice. - Bo Li, Kele Xu, Xiaoyan Cui, Yiheng Wang, Xinbo Ai, Yanbo Wang:
Multi-Scale DenseNet-Based Electricity Theft Detection. - Wei Lu, Wei Yang, Tinghua Ai:
Evaluating Non-Motorized Transport Popularity of Urban Roads by Sports GPS Tracks. - Anupam Gupta, Amit Kumar, Jason Li:
Non-Preemptive Flow-Time Minimization via Rejections. - Mathias Morbitzer, Manuel Huber, Julian Horsch, Sascha Wessel:
SEVered: Subverting AMD's Virtual Machine Encryption. - Leonid Yavits, Roman Kaplan, Ran Ginosar:
PRINS: Resistive CAM Processing in Storage. - Colin Paterson, Radu Calinescu:
Observation-Enhanced QoS Analysis of Component-Based Systems. - Yunpeng Li, Costas Courcoubetis, Lingjie Duan, Richard R. Weber:
Optimal pricing for a peer-to-peer sharing platform under network externalities. - Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products. - Or Litany, Daniel Freedman:
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. - Guillaume Bagan, Alice Joffard, Hamamache Kheddouci:
Eternal dominating sets on digraphs and orientations of graphs. - R. R. Appino, M. Muñoz-Ortiz, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser:
Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations. - Rahul Tallamraju, Sujit Rajappa, Michael J. Black, Kamalakar Karlapalem, Aamir Ahmad:
Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios. - Anneli Heimbürger:
When Cultures Meet: Modelling Cross-Cultural Knowledge Spaces. - Khanik Kerobyan, Ruben Kerobyan, Koffi Enakoutsa:
Infinite-server queueing model with MAPkGk Markov arrival streams, random volume of customers in random environment subject to catastrophe. - Khanik Kerobyan, R. Covington, Ruben Kerobyan, Koffi Enakoutsa:
An infinite-server queueing model MMAPkGk in semi-Markov random environment with marked MAP arrival and subject to catastrophes. - Siamak Barzegar, Juliano Efson Sales, André Freitas, Siegfried Handschuh, Brian Davis:
DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness. - Iurii Chernushenko, Felix A. Gers, Alexander Löser, Alessandro Checco:
Crowd-Labeling Fashion Reviews with Quality Control. - Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Dialogue State Tracker. - Dieuwke Hupkes, Anand Singh, Kris Korrel, Germán Kruszewski, Elia Bruni:
Learning compositionally through attentive guidance. - Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi:
LF-Net: Learning Local Features from Images. - Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. - Robert A. Bridges, Maria A. Vincent, Kelly M. T. Huffer, John R. Goodall, Jessie D. Jamieson, Zachary Burch:
Forming IDEAS Interactive Data Exploration & Analysis System. - Mokshi Goyal, Madhu Raka:
Duadic negacyclic codes over a finite non-chain ring and their Gray images. - Cong Xie, Oluwasanmi Koyejo, Indranil Gupta:
Phocas: dimensional Byzantine-resilient stochastic gradient descent. - Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]. - Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis, Saravanan Kandasamy:
Learning and Testing Causal Models with Interventions. - Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. - Arun Palanikumar, Niranjan Saikumar, S. Hassan HosseinNia:
No More Differentiator in PID: Development of Nonlinear Lead for Precision Mechatronics. - Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. - Burak Kakillioglu, Yantao Lu, Senem Velipasalar:
Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks. - Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe:
Minimum Information Exchange in Distributed Systems. - Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch:
Learning convex polytopes with margin. - Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio:
Image-to-image translation for cross-domain disentanglement. - Priyabrata Parida, Harpreet S. Dhillon:
Johnson-Mehl Cell-based Analysis of UL Cellular Network with Coupled User and BS Locations. - Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant:
Detecting Homoglyph Attacks with a Siamese Neural Network. - Arezo Bodaghi, Babak Teimourpour:
The detection of professional fraud in automobile insurance using social network analysis. - Gopal Krishna Kamath, Krishna P. Jagannathan, Gaurav Raina:
Impact of delayed acceleration feedback on the classical car-following model. - Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. - Anand Louis, Rakesh Venkat:
Semi-Random Graphs with Planted Sparse Vertex Cuts: Algorithms for Exact and Approximate Recovery. - Yiming Lin, Shiyang Cheng, Jie Shen, Maja Pantic:
MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild. - Boqing Zhu, Kele Xu, Dezhi Wang, Lilun Zhang, Bo Li, Yuxing Peng:
Environmental Sound Classification Based on Multi-temporal Resolution CNN Network Combining with Multi-level Features. - Christian Arendt, Janis Nötzel, Holger Boche:
Ultra-Reliable Communication over Arbitrarily Varying Channels under Block-Restricted Jamming. - Miao Xie, Zhe Jiang, Arpan Man Sainju:
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix). - Graham Bleaney, Matthew Kuzyk, Julian Man, Hossein Mayanloo, Hamid R. Tizhoosh:
Auto-Detection of Safety Issues in Baby Products. - (Withdrawn) The parallel texts of books translations in the quality evaluation of basic models and algorithms for the similarity of symbol strings.
- Abhirut Gupta, Abhay Khosla, Gautam Singh, Gargi Dasgupta:
Mining Procedures from Technical Support Documents. - Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová:
Entropy and mutual information in models of deep neural networks. - Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas:
Hyperbolic Attention Networks. - Xiaoxi He, Zimu Zhou, Lothar Thiele:
Multi-Task Zipping via Layer-wise Neuron Sharing. - Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori:
New Insights into Bootstrapping for Bandits. - Zhongwen Xu, Hado van Hasselt, David Silver:
Meta-Gradient Reinforcement Learning. - Alireza Makhzani:
Implicit Autoencoders. - Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. - Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo Magnification: Learning View Synthesis using Multiplane Images. - Holger Schwenk, Xian Li:
A Corpus for Multilingual Document Classification in Eight Languages. - Holger Schwenk:
Filtering and Mining Parallel Data in a Joint Multilingual Space. - Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. - Jukka Ruohonen, Luca Allodi:
A Bug Bounty Perspective on the Disclosure of Web Vulnerabilities. - Emad Zahedi, Jason P. Smith:
Modular Decomposition of Graphs and the Distance Preserving Property. - Leonid Barenboim, Yaniv Tzur:
Distributed Symmetry-Breaking with Improved Vertex-Averaged Complexity. - Hieu Hoang, Tomasz Dwojak, Rihards Krislauks, Daniel Torregrosa, Kenneth Heafield:
Fast Neural Machine Translation Implementation. - Zhengwei Wu, Paul R. Schrater, Xaq Pitkow:
Inverse POMDP: Inferring What You Think from What You Do. - Fabio Massimo Zennaro, Magdalena Ivanovska:
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation. - Iain Guilliard, Richard Rogahn, Jim Piavis, Andrey Kolobov:
Autonomous Thermalling as a Partially Observable Markov Decision Process (Extended Version). - Ronald de Haan, Iris van de Pol:
On the Computational Complexity of Model Checking for Dynamic Epistemic Logic with S5 Models. - Sofiat Olaosebikan, David F. Manlove:
Super-stability in the Student-Project Allocation Problem with Ties. - Haewon Jeong, Tze Meng Low, Pulkit Grover:
Coded FFT and Its Communication Overhead. - Kin Sum Liu, Bo Li, Jie Gao:
Generative Model: Membership Attack, Generalization and Diversity. - Sanjeeb Dash, Oktay Günlük, Dennis Wei:
Boolean Decision Rules via Column Generation. - Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin:
Diffusion Maps for Textual Network Embedding. - Maria Fernanda Moura, Fabiano Fernandes dos Santos, Solange Oliveira Rezende:
An experimental comparison of label selection methods for hierarchical document clusters. - Octavio Narvaez-Aroche, Andrew K. Packard, Murat Arcak:
Finite Time Robust Control of the Sit-to-Stand Movement for Powered Lower Limb Orthoses. - Anastasia Mavridou, Joseph Sifakis, Janos Sztipanovits:
DesignBIP: A Design Studio for Modeling and Generating Systems with BIP. - Tomasz Kociumaka, Ritu Kundu, Manal Mohamed, Solon P. Pissis:
Longest Unbordered Factor in Quasilinear Time. - Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. - Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. - Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. - Francesco Leofante, Nina Narodytska, Luca Pulina, Armando Tacchella:
Automated Verification of Neural Networks: Advances, Challenges and Perspectives. - Huihui Fang, Jian Yang, Jianjun Zhu, Danni Ai, Yong Huang, Yurong Jiang, Hong Song, Yongtian Wang:
Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences. - Weiming Xiang, Taylor T. Johnson:
Reachability Analysis and Safety Verification for Neural Network Control Systems. - Dung Nguyen Tien, Kien Nguyen, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes:
Meta Transfer Learning for Facial Emotion Recognition. - Hossein Rastgoftar, Bingxin Zhang, Ella M. Atkins:
A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios. - Julia Chuzhoy, David H. K. Kim, Rachit Nimavat:
Improved Approximation for Node-Disjoint Paths in Grids with Sources on the Boundary. - Minhyuk Sung, Hao Su, Ronald Yu, Leonidas J. Guibas:
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions. - Eric M. Clark, Ted James, Chris A. Jones, Amulya Alapati, Promise Ukandu, Christopher M. Danforth, Peter Sheridan Dodds:
A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter. - Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong:
Phrase Table as Recommendation Memory for Neural Machine Translation. - Allison C. Morgan, Dimitrios J. Economou, Samuel F. Way, Aaron Clauset:
Prestige drives epistemic inequality in the diffusion of scientific ideas. - Md Sirajus Salekin, Ahmad Babaeian Jelodar:
Cooking State Recognition From Images Using Inception Architecture. - Zhangjian Ji, Kai Feng, Yuhua Qian:
Part-based Visual Tracking via Structural Support Correlation Filter. - Upendra Kapshikar:
McEliece-type Cryptosystems over Quasi-cyclic Codes. - Daniel McDuff, Ashish Kapoor:
Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. - Neeraj Varshney, Adarsh Patel, Werner Haselmayr, Aditya K. Jagannatham, Pramod K. Varshney, Weisi Guo:
Impact of Cooperation in Flow-Induced Diffusive Mobile Molecular Communication. - Krzysztof Janowicz, Armin Haller, Simon J. D. Cox, Danh Le Phuoc, Maxime Lefrançois:
SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators. - Xiaojie Guo, Lingfei Wu, Liang Zhao:
Deep Graph Translation. - Zheng Xu, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin:
Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. - Zlatan Ajanovic, Bakir Lacevic, Georg Stettinger, Daniel Watzenig, Martin Horn:
Safe learning-based optimal motion planning for automated driving. - Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning. - Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Yi Yang:
Transductive Propagation Network for Few-shot Learning. - Fady Medhat, David Chesmore, John Robinson:
Masked Conditional Neural Networks for Environmental Sound Classification. - Haifang Li, Yingce Xia, Wensheng Zhang:
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. - Yongfu Li, Chin Hui Lee, Wan Chia Ang, Kok Peng Chua, Yoong Seang Jonathan Ong, Chiu Wing Colin Hui:
Constraining the Synopsys Pin Access Checker Utility for Improved Standard Cells Library Verification Flow. - Moez Draief, Konstantin Kutzkov, Kevin Scaman, Milan Vojnovic:
KONG: Kernels for ordered-neighborhood graphs. - Vikas Tripathi, Yongfu Li, Zhao Chuan Lee, I-Lun Tseng, Jason Khaw, Jonathan Ong:
In Design DFM Rule Scoring and Fixing Method using ICV. - Chen Chen, Min Cao, Xiyuan Hu, Silong Peng:
Key Person Aided Re-identification in Partially Ordered Pedestrian Set. - Jingjing Zhang, Osvaldo Simeone:
Cloud-Edge Non-Orthogonal Transmission for Fog Networks with Delayed CSI at the Cloud. - Gonzalo Vazquez-Vilar, Albert Guillén i Fàbregas, Sergio Verdú:
The Error Probability of Generalized Perfect Codes via the Meta-Converse. - Devendra Pratap Yadav, Abhinav Dhall:
DIF : Dataset of Intoxicated Faces for Drunk Person Identification. - Cong Xie, Oluwasanmi Koyejo, Indranil Gupta:
Zeno: Byzantine-suspicious stochastic gradient descent. - Linda Chen, Niranjan Saikumar, Simone Baldi, S. Hassan HosseinNia:
Beyond the Waterbed Effect: Development of Fractional Order CRONE Control with Non-Linear Reset. - Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle:
Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory. - Golnaz Badkobeh, Gabriele Fici, Simon J. Puglisi:
Algorithms for Anti-Powers in Strings. - Yulong Pei, Xin Du, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding. - Michelle Valente, Cyril Joly, Arnaud de La Fortelle:
Fusing Laser Scanner and Stereo Camera in Evidential Grid Maps. - Michiki Kurosawa, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Japanese Predicate Conjugation for Neural Machine Translation. - Lennart van Duist, Gijs van der Gugten, Daan Toten, Niranjan Saikumar, S. Hassan HosseinNia:
FLOreS - Fractional order loop shaping MATLAB toolbox. - Pablo Arrighi, Clément Chouteau, Stefano Facchini, Simon Martiel:
Causal dynamics of discrete manifolds. - (Withdrawn) BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection.
- Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. - Pratik Gajane, Ronald Ortner, Peter Auer:
A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions. - Bastien Cazaux, Eric Rivals:
Strong link between BWT and XBW via Aho-Corasick automaton and applications to Run-Length Encoding. - Marius Bozga, Radu Iosif, Joseph Sifakis:
Checking Deadlock-Freedom of Parametric Component-Based Systems. - Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach:
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes. - Alireza Sepas-Moghaddam, Mohammad A. Haque, Paulo Lobato Correia, Kamal Nasrollahi, Thomas B. Moeslund, Fernando Pereira:
A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition. - Bowen Feng, Jian Jiao, Liu Zhou, Shaohua Wu, Bin Cao, Qinyu Zhang:
A Novel High-Rate Polar-Staircase Coding Scheme. - Christian Sternagel, Sarah Winkler:
Certified Ordered Completion. - Andree Thieltges, Orestis Papakyriakopoulos, Juan Carlos Medina Serrano, Simon Hegelich:
Effects of Social Bots in the Iran-Debate on Twitter. - Dhruv Rathi, Sushant Jain, S. Indu:
Underwater Fish Species Classification using Convolutional Neural Network and Deep Learning. - Chao Zhai, Gaoxi Xiao, Hehong Zhang, Tso-Chien Pan:
Cooperative Control of TCSC to Relieve the Stress of Cyber-physical Power System. - Rudresh Dwivedi, Somnath Dey:
Generating protected fingerprint template utilizing coprime mapping transformation. - Sylvie Huet, Guillaume Deffuant, Armelle Nugier, Michel Streith, Serge Guimond:
Resisting hostility generated by terror: An agent-based study. - Ioannis Avramopoulos:
On incremental deployability. - Jan Winkelmann, Paul Springer, Edoardo Di Napoli:
ChASE: Chebyshev Accelerated Subspace iteration Eigensolver for sequences of Hermitian eigenvalue problems. - Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste:
TADAM: Task dependent adaptive metric for improved few-shot learning. - Ryan Faulkner, Doina Precup:
Dyna Planning using a Feature Based Generative Model. - Yingjing Lu:
Cross Domain Image Generation through Latent Space Exploration with Adversarial Loss. - Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega:
Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense. - Alexander Imani Cowen-Rivers, Matthew England:
Towards Incremental Cylindrical Algebraic Decomposition in Maple. - Yongliang Tang, Weiguo Gong, Xi Chen, Zhenghao Li, Weihong Li:
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution. - Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. - Nils Kohl, Dominik Thönnes, Daniel Drzisga, Dominik Bartuschat, Ulrich Rüde:
A Scalable and Modular Software Architecture for Finite Elements on Hierarchical Hybrid Grids. - Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko:
Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. - Arunkumar Bagavathi, Siddharth Krishnan:
MultiNet: Scalable Multilayer Network Embeddings. - Stylianos I. Venieris, Christos-Savvas Bouganis:
f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. - Sylvie Huet, Jean-Denis Mathias:
Few self-involved agents among BC agents can lead to polarized local or global consensus. - Hanchao Li, Pengfei Xiong, Jie An, Lingxue Wang:
Pyramid Attention Network for Semantic Segmentation. - Yuki Kawara, Chenhui Chu, Yuki Arase:
Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation. - Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet, Joseph Dureau:
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces. - Mustapha Hached, Khalide Jbilou:
Numerical methods for differential linear matrix equations via Krylov subspace methods. - Juste Raimbault:
Reconciling complexities: for a stronger integration of approaches to complex socio-technical systems. - Alister G. Burr, Manijeh Bashar, Dick Maryopi:
Cooperative access networks: Optimum fronthaul quantization in distributed Massive MIMO and cloud RAN. - Dhritiman Das, Eduardo Coello, Rolf F. Schulte, Bjoern H. Menze:
Qunatification of Metabolites in MR Spectroscopic Imaging using Machine Learning. - Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents-Barrena, Adel Saleh, Meritxell Arenas, Domenec Puig:
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Alane Suhr, Yoav Artzi:
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation. - José Lezama, Samy Blusseau, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi:
Psychophysics, Gestalts and Games. - Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes, Laurent Risser:
COREclust: a new package for a robust and scalable analysis of complex data. - Michele Focchi, Romeo Orsolino, Marco Camurri, Victor Barasuol, Carlos Mastalli, Darwin G. Caldwell, Claudio Semini:
Heuristic Planning for Rough Terrain Locomotion in Presence of External Disturbances and Variable Perception Quality. - Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. - Nicolas Guenon des Mesnards, Tauhid Zaman:
Detecting Influence Campaigns in Social Networks Using the Ising Model. - Ana Ozaki, Rafael Peñaloza:
Consequence-Based Axiom Pinpointing. - Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei:
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? - Lechao Cheng, Chengyi Zhang, Zicheng Liao:
Intrinsic Image Transformation via Scale Space Decomposition. - Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. - Manoj Kumar, George E. Dahl, Vijay Vasudevan, Mohammad Norouzi:
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification. - Hongkai Yu, Dazhou Guo, Zhipeng Yan, Wei Liu, Jeff P. Simmons, Craig P. Przybyla, Song Wang:
Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images. - Freya Sheer Hardwick, Raja Naeem Akram, Konstantinos Markantonakis:
E-Voting with Blockchain: An E-Voting Protocol with Decentralisation and Voter Privacy. - James Tapsell, Raja Naeem Akram, Konstantinos Markantonakis:
An evaluation of the security of the Bitcoin Peer-to- Peer Network. - Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson:
Scraping SERPs for Archival Seeds: It Matters When You Start. - Guy Bresler, Frederic Koehler, Ankur Moitra, Elchanan Mossel:
Learning Restricted Boltzmann Machines via Influence Maximization. - Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli:
Training verified learners with learned verifiers. - Shuning Jin, Ted Pedersen:
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling. - Mario Blaum:
Extended Integrated Interleaved Codes over any Field with Applications to Locally Recoverable Codes. - Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula, Ted Pedersen:
UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings. - José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant:
Towards a glaucoma risk index based on simulated hemodynamics from fundus images. - Zhenduo Wang, Ted Pedersen:
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding. - Ding Ding, Yuxin Wang, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Toward Detecting Violations of Differential Privacy. - Yongfu Li, Valerio Perez, I-Lun Tseng, Zhao Chuan Lee, Vikas Tripathi, Jason Khaw, Yoong Seang Jonathan Ong:
Advanced In-Design Auto-Fixing Flow for Cell Abutment Pattern Matching Weakpoints. - Hossein Sabzian, Hossein Gharib, Javad Noori, Mohammad Ali Shafia, Mohammad Javad Sheikh:
Forecasting the successful execution of horizontal strategy in a diversified corporation via a DEMATEL-supported artificial neural network - A case study. - Torgeir Dingsøyr, Marius Mikalsen, Anniken Solem, Kathrine Vestues:
Learning in the Large - An Exploratory Study of Retrospectives in Large-Scale Agile Development. - Jeffrey Uhlmann:
On the Relative Gain Array (RGA) with Singular and Rectangular Matrices. - Matthias Walter, Stefan Weltge:
Extended Formulations for Radial Cones. - Pablo Arrighi, Nicolas Durbec, Aurélien Emmanuel:
Reversibility vs local creation/destruction. - Lierni Sestorain, Massimiliano Ciaramita, Christian Buck, Thomas Hofmann:
Zero-Shot Dual Machine Translation. - Simon Andermatt, Antal Horváth, Simon Pezold, Philippe C. Cattin:
Pathology Segmentation using Distributional Differences to Images of Healthy Origin. - Yu Gan, Christina Delimitrou:
The Architectural Implications of Microservices in the Cloud. - Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada:
A Scalable Approach to Multi-Context Continual Learning via Lifelong Skill Encoding. - Semih Günel, Helge Rhodin, Pascal Fua:
What Face and Body Shapes Can Tell About Height. - Orlando Fonseca Guilarte, Simone Diniz Junqueira Barbosa, Sinésio Pesco:
Simplified Graph-based Visualization for Scientific Publication. - Hojjat Aghakhani, Aravind Machiry, Shirin Nilizadeh, Christopher Kruegel, Giovanni Vigna:
Detecting Deceptive Reviews using Generative Adversarial Networks. - Luiz Otávio Vilas Boas Oliveira, Joao Francisco Barreto da Silva Martins, Luis Fernando Miranda, Gisele Lobo Pappa:
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach. - Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. - Josh Fromm, Shwetak N. Patel, Matthai Philipose:
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks. - John Miller, Moritz Hardt:
When Recurrent Models Don't Need To Be Recurrent. - Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. - Yichuan Zhang, José Miguel Hernández-Lobato, Zoubin Ghahramani:
Variational Measure Preserving Flows. - Christopher Jenkins, Aaron Stump:
Spine-local Type Inference. - Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-scale Distance Metric Learning with Uncertainty. - Jinseok Choi, Brian L. Evans:
Analysis of Ergodic Rate for Transmit Antenna Selection in Low-Resolution ADC Systems. - Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, Paulius Micikevicius:
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models. - Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. - Sansiri Tarnpradab, Fei Liu, Kien A. Hua:
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. - Akrati Saxena, S. R. S. Iyengar:
Estimating Shell-Index in a Graph with Local Information. - Kristjan Arumae, Fei Liu:
Reinforced Extractive Summarization with Question-Focused Rewards. - Fei Liu, Nicole Lee Fella, Kexin Liao:
Modeling Language Vagueness in Privacy Policies using Deep Neural Networks. - Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
Automatic Summarization of Student Course Feedback. - Wencan Luo, Fei Liu, Diane J. Litman:
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. - Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. - Nikhil Banerjee, Thanassis Giannetsos, Emmanouil Panaousis, Clive Cheong Took:
Unsupervised Learning for Trustworthy IoT. - Neal Jean, Sang Michael Xie, Stefano Ermon:
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance. - Hanie Sedghi, Vineet Gupta, Philip M. Long:
The Singular Values of Convolutional Layers. - Claudio M. Qureshi:
On the non-existence of linear perfect Lee codes: The Zhang-Ge condition and a new polynomial criterion. - Ross Hartley, Maani Ghaffari Jadidi, Jessy W. Grizzle, Ryan M. Eustice:
Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation. - Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. - Wangjin Lee, Jinwook Choi:
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF. - Rob van Glabbeek:
A Theory of Encodings and Expressiveness. - Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee:
Human Action Generation with Generative Adversarial Networks. - Ming Dong, Alexandre B. Nassif:
Combining Modified Weibull Distribution Models for Power System Reliability Forecast. - Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji:
Enhanced-alignment Measure for Binary Foreground Map Evaluation. - Mengqi Guo, Ji Zhou, Yueming Lu, Yaojun Qiao:
Sphere Decoder with Box Optimization for FTN Non-orthogonal FDM System. - Aaron French, Mohammad Mozaffari, AbdelRahman Eldosouky, Walid Saad:
Environment-Aware Deployment of Wireless Drones Base Stations with Google Earth Simulator. - Marie Nguyen, James C. Hoe:
Time-Shared Execution of Realtime Streaming Pipelines by Dynamic Partial Reconfiguration. - Rudresh Dwivedi, Somnath Dey:
A novel hybrid score level and decision level fusion scheme for cancelable multi-biometric verification. - Zili Meng, Jun Bi, Chen Sun, Shuhe Wang, Minhu Wang, Hongxin Hu:
PAM: When Overloaded, Push Your Neighbor Aside! - Yanjun Li, Yoram Bresler:
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. - Henning Christiansen, Maja H. Kirkeby:
Confluence of CHR revisited: invariants and modulo equivalence. - Ke Zhang, Na Liu, Xingfang Yuan, Xinyao Guo, Ce Gao, Zhenbing Zhao:
Fine-Grained Age Estimation in the wild with Attention LSTM Networks. - Na Lei, Zhongxuan Luo, Shing-Tung Yau, Xianfeng David Gu:
Geometric Understanding of Deep Learning. - Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin:
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. - Víctor Gutiérrez-Basulto, Steven Schockaert:
From Knowledge Graph Embedding to Ontology Embedding: Region Based Representations of Relational Structures. - Qifa Yan, Sheng Yang, Michèle A. Wigger:
A Storage-Computation-Communication Tradeoff for Distributed Computing. - Zhuosheng Zhang, Jiangtong Li, Hai Zhao, Bingjie Tang:
SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings. - Yunkun Li, Xiaojun Wu, Josef Kittler:
L1-(2D)2PCANet: A Deep Learning Network for Face Recognition. - Kai Zhong, Zhao Song, Prateek Jain, Inderjit S. Dhillon:
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks. - Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou:
Look at Boundary: A Boundary-Aware Face Alignment Algorithm. - Lichao Mou, Xiao Xiang Zhu:
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network. - Yusuf Said Eroglu, Chethan Kumar Anjinappa, Ismail Güvenç, Nezih Pala:
Slow Beam Steering for Indoor Multi-User Visible Light Communications. - Patrick W. Koch, Konstantin Schekotihin, Dietmar Jannach, Birgit Hofer, Franz Wotawa:
Combining Spreadsheet Smells for Improved Fault Prediction. - Dengpan Yin, Tevfik Kosar:
Data-Aware Approximate Workflow Scheduling. - Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask. - Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. - Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
A Survey of Parallel Sequential Pattern Mining. - Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
NetSim - The framework for complex network generator. - Lutz Bornmann, António Osório:
The value and credits of n-authors publications. - Jianan Zhang, Abhishek Sinha, Jaime Llorca, Antonia M. Tulino, Eytan H. Modiano:
Optimal Control of Distributed Computing Networks with Mixed-Cast Traffic Flows. - Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Dependent Gated Reading for Cloze-Style Question Answering. - Justin P. Rohrer:
Geographic Centroid Routing for Vehicular Networks. - Mrigank Rochan, Linwei Ye, Yang Wang:
Video Summarization Using Fully Convolutional Sequence Networks. - Justin P. Rohrer, Andrew N. Mauldin:
Implementation of Epidemic Routing with IP Convergence Layer in ns-3. - Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo:
Transductive Label Augmentation for Improved Deep Network Learning. - Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Using Syntax to Ground Referring Expressions in Natural Images. - Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann:
Deep Watershed Detector for Music Object Recognition. - Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Hierarchical Representation Learning for Kinship Verification. - Honggang Chen, Xiaohai He, Linbo Qing, Shuhua Xiong, Truong Q. Nguyen:
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images. - Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon:
Adversarial Constraint Learning for Structured Prediction. - Liqin Hu, Keqin Feng:
Minimum Distance of New Generalizations of the Punctured Binary Reed-Muller Codes. - Rajarshi Bhowmik, Gerard de Melo:
Generating Fine-Grained Open Vocabulary Entity Type Descriptions. - Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li:
BRITS: Bidirectional Recurrent Imputation for Time Series. - Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. - Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song:
Dual Swap Disentangling. - Dat Quoc Nguyen, Karin Verspoor:
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings. - Freddy Lécué, Jiewen Wu:
Semantic Explanations of Predictions. - Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Generative Adversarial Image Synthesis with Decision Tree Latent Controller. - Pratik Dubal, Rohan Mahadev, Suraj Kothawade, Kunal Dargan, Rishabh K. Iyer:
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras. - Aleksey O. Zakharov, Yulia V. Kovalenko:
Reduction of the Pareto Set in Bicriteria Asymmetric Traveling Salesman Problem. - Elahe Ghalebi K., Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec:
Dynamic Network Model from Partial Observations. - Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu:
Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach. - Xinfeng Zhang, Su Yang, Xinjian Zhang, Weishan Zhang, Jiulong Zhang:
Anomaly Detection and Localization in Crowded Scenes by Motion-field Shape Description and Similarity-based Statistical Learning. - Pei Liu, Kai Luo, Da Chen, Tao Jiang:
Spectral Efficiency Analysis in Cell-Free Massive MIMO Systems with Zero-Forcing Detector. - Julia Kreutzer, Joshua Uyheng, Stefan Riezler:
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. - (Withdrawn) A Simple Riemannian Manifold Network for Image Set Classification.
- Wayes Tushar, Nipun Wijerathne, Wen-Tai Li, Chau Yuen, H. Vincent Poor, Tapan Kumar Saha, Kristin L. Wood:
IoT for Green Building Management. - Davide Bacciu, Federico Errica, Alessio Micheli:
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. - Juyong Zhang, Yuxin Yao, Yue Peng, Hao Yu, Bailin Deng:
Fast K-Means Clustering with Anderson Acceleration. - Douglas Winston R. S., Gustavo Teodoro Laureano, Celso G. Camilo-Junior:
Comparison of VCA and GAEE algorithms for Endmember Extraction. - Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block Communications. - Reut Levi, Moti Medina, Dana Ron:
Property Testing of Planarity in the CONGEST model. - Supratik Paul, Michael A. Osborne, Shimon Whiteson:
Contextual Policy Optimisation. - Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
Towards Multifocal Displays with Dense Focal Stacks. - Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt:
Adversarial Deformation Regularization for Training Image Registration Neural Networks. - Kamer Vishi, Vasileios Mavroeidis:
An Evaluation of Score Level Fusion Approaches for Fingerprint and Finger-vein Biometrics. - Ali Shakiba, Amir Kafshdar Goharshady, Mohammad Reza Hooshmandasl, Mohsen Alambardar Meybodi:
A note on belief structures and S-approximation spaces. - Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera:
Legal Document Retrieval using Document Vector Embeddings and Deep Learning. - Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Compact and Computationally Efficient Representation of Deep Neural Networks. - Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. - Anelia Somekh-Baruch:
Converse Theorems for the DMC with Mismatched Decoding. - Igor Timoshenko:
Developing RFID library systems in the direction of integration into the global identification system EPC. - Jörg P. Bachmann, Johann-Christoph Freytag, Benjamin Hauskeller, Nicole Schweikardt:
Measuring Congruence on High Dimensional Time Series. - Lijie Chen:
Toward Super-Polynomial Size Lower Bounds for Depth-Two Threshold Circuits. - Joao T. Dias, Rodrigo C. de Lamare:
Study of Unique-Word Based GFDM Transmission Systems. - Salman Ul Hassan Dar, Mahmut Yurt, Mohammad Shahdloo, Muhammed Emrullah Ildiz, Tolga Çukur:
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI. - Magnus Oskarsson:
A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar points. - Jason Li:
Distributed Treewidth Computation. - Matt Luckcuck, Andy J. Wellings, Ana Cavalcanti:
Safety-Critical Java: Level 2 in Practice. - Matt Luckcuck, Ana Cavalcanti, Andy J. Wellings:
A Formal Model of the Safety-Critical Java Level 2 Paradigm. - Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
NetLSD: Hearing the Shape of a Graph. - Robin Lynne Belton, Brittany Terese Fasy, Rostik Mertz, Samuel Micka, David L. Millman, Daniel Salinas, Anna Schenfisch, Jordan Schupbach, Lucia Williams:
Learning Simplicial Complexes from Persistence Diagrams. - Duhyeon Bang, Hyunjung Shim:
High Quality Bidirectional Generative Adversarial Networks. - Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu:
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. - Victor Dibia, Maryam Ashoori, Aaron Cox, Justin D. Weisz:
Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits. - Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. - Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer:
A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks. - Cameron E. Taylor, Ivan Garibay, Alexander V. Mantzaris:
How polarization can provide an increase in content dissemination amongst the highly ranked influencers. - Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen:
Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging. - Yongfu Li, Wan Chia Ang, Chin Hui Lee, Kok Peng Chua, Yoong Seang Jonathan Ong, Chiu Wing Colin Hui:
Multiple-Lithography-Compliant Verification for Standard Cell Library Development Flow. - Toru Takisaka, Yuichiro Oyabu, Natsuki Urabe, Ichiro Hasuo:
Ranking and Repulsing Supermartingales for Approximating Reachability. - Nils M. Kriege, Andre Droschinsky, Petra Mutzel:
A note on block-and-bridge preserving maximum common subgraph algorithms for outerplanar graphs. - Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Dual Policy Iteration. - Nuri Kim, Donghoon Lee, Songhwai Oh:
Learning Instance-Aware Object Detection Using Determinantal Point Processes. - Shayan Sadigh, Pradeep Sen:
Improving the Resolution of CNN Feature Maps Efficiently with Multisampling. - Pan Zhou, Jiashi Feng:
Understanding Generalization and Optimization Performance of Deep CNNs. - Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon:
Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student. - Ding-Xuan Zhou:
Universality of Deep Convolutional Neural Networks. - Suman Kalyan Maity, Ankan Mullick, Surjya Ghosh, Anil Kumar, Sunny Dhamnani, Sudhanshu Bahety, Animesh Mukherjee:
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media. - Liangqu Long, Wei Wang, Jun Wen, Meihui Zhang, Qian Lin, Beng Chin Ooi:
Object-Level Representation Learning for Few-Shot Image Classification. - Rajkumar Buyya, Jungmin Son:
Software-Defined Multi-Cloud Computing: A Vision, Architectural Elements, and Future Directions. - Shangguang Wang, Chuntao Ding, Ning Zhang, Nan Cheng, Jie Huang, Ying Liu:
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing. - Hyo-Eun Kim, Seungwook Kim, Jaehwan Lee:
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks. - Zhongbin Sun, Junqi Li, Heli Sun:
An empirical study of public data quality problems in cross project defect prediction. - Cheng-Bin Jin, Wonmo Jung, Seongsu Joo, Eunsik Park, Young Saem Ahn, In Ho Han, Jae-Il Lee, Xuenan Cui:
Deep CT to MR Synthesis using Paired and Unpaired Data. - Elad Tzoreff, Olga Kogan, Yoni Choukroun:
Deep Discriminative Latent Space for Clustering. - Krzysztof Wróbel, Marcin Pietron, Maciej Wielgosz, Michal Karwatowski, Kazimierz Wiatr:
Convolutional neural network compression for natural language processing. - Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, Songhwai Oh:
Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration. - François Plesse, Alexandru-Lucian Gînsca, Bertrand Delezoide, Françoise J. Prêteux:
Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation. - Suofei Zhang, Wei Zhao, Xiaofu Wu, Quan Zhou:
Fast Dynamic Routing Based on Weighted Kernel Density Estimation. - Lonce Wyse:
Real-valued parametric conditioning of an RNN for interactive sound synthesis. - Rishi Sairam, Suman Sankar Bhunia, Vijayanand Thangavelu, Mohan Gurusamy:
NETRA: Enhancing IoT Security using NFV-based Edge Traffic Analysis. - Nicola Pezzotti, Alexander Mordvintsev, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova:
Linear tSNE optimization for the Web. - Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti:
Local Rule-Based Explanations of Black Box Decision Systems. - Marloes Kuijper, Mike van Lenthe, Rik van Noord:
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish. - Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri, Jan Fesl:
On QoS-Compliant Telehaptic Communication over Shared Networks. - Asier Mujika, Florian Meier, Angelika Steger:
Approximating Real-Time Recurrent Learning with Random Kronecker Factors. - Luis H. Herrera, Pablo Pérez-Lantero:
On the intersection graph of the disks with diameters the sides of a convex n-gon. - Nancy Agarwal, Syed Zeeshan Hussain:
Identification of Flaws in the Design of Signatures for Intrusion Detection Systems. - Ke M. Tran, Yonatan Bisk:
Inducing Grammars with and for Neural Machine Translation. - Chaehan So:
A Pragmatic AI Approach to Creating Artistic Visual Variations by Neural Style Transfer. - Rudresh Dwivedi, Somnath Dey:
A non-invertible cancelable fingerprint template generation based on ridge feature transformation. - Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu:
r-instance Learning for Missing People Tweets Identification. - Patrick McClure, Charles Y. Zheng, Francisco Pereira, Jakub Kaczmarzyk, John Rogers-Lee, Dylan Nielson, Peter A. Bandettini:
Parallel Weight Consolidation: A Brain Segmentation Case Study. - Xiao Liu, Shengchuan Zhang, Hong Liu, Xin Liu, Rongrong Ji:
Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation. - Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. - Rainer Kelz, Gerhard Widmer:
Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine Grained Audio Signal Labelling. - Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn:
Image Distortion Detection using Convolutional Neural Network. - Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. - Sumit Ganguly, David P. Woodruff:
High Probability Frequency Moment Sketches. - Andrea Tirinzoni, Andrea Sessa, Matteo Pirotta, Marcello Restelli:
Importance Weighted Transfer of Samples in Reinforcement Learning. - Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Block-optimized Variable Bit Rate Neural Image Compression. - Robert Künnemann, Ilkan Esiyok, Michael Backes:
Automated Verification of Accountability in Security Protocols. - Richard Forster, Agnes Fulop:
Hierarchical clustering with deep Q-learning. - Tobias Friedrich, Andreas Göbel, Francesco Quinzan, Markus Wagner:
Evolutionary Algorithms and Submodular Functions: Benefits of Heavy-Tailed Mutations. - Richard Forster:
Parallel Louvain Community Detection Optimized for GPUs. - Carlo Castagnari, Flavio Corradini, Francesco De Angelis, Jacopo de Berardinis, Giorgio Forcina, Andrea Polini:
Tangramob: an agent-based simulation framework for validating urban smart mobility solutions. - Moshe Babaioff, Shahar Dobzinski, Sigal Oren:
Combinatorial Auctions with Endowment Effect. - Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone:
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. - Young-Chul Yoon, Abhijeet Boragule, Kwangjin Yoon, Moongu Jeon:
Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering. - Izhak Golan, Ran El-Yaniv:
Deep Anomaly Detection Using Geometric Transformations. - Dabin Zheng, Mu Yuan, Long Yu:
Two types of permutation polynomials with special forms. - Mostafa Rahmani, Adel Karimian, Andre Beckus, George K. Atia:
Randomized Robust Matrix Completion for the Community Detection Problem. - Moez A. AbdelGawad:
Towards Taming Java Wildcards and Extending Java with Interval Types. - Klemen Grm, Simon Dobrisek, Walter J. Scheirer, Vitomir Struc:
Face hallucination using cascaded super-resolution and identity priors. - Daniel Lemire:
Fast Random Integer Generation in an Interval. - Herwig Lejsek, Björn Þór Jónsson, Laurent Amsaleg, Friðrik Heiðar Ásmundsson:
Dynamicity and Durability in Scalable Visual Instance Search. - Lucas Alexandre Ramos, Aparecido Nilceu Marana:
Fusion of Methods Based on Minutiae, Ridges and Pores for Robust Fingerprint Recognition. - Wenlin Yao, Ruihong Huang:
Temporal Event Knowledge Acquisition via Identifying Narratives. - Xu Han, Zhiyuan Liu, Maosong Sun:
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training. - German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization. - Taehyeong Kim, Min-Oh Heo, Seonil Son, Kyoung-Wha Park, Byoung-Tak Zhang:
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation. - Marco di Biase, Magiel Bruntink, Arie van Deursen, Alberto Bacchelli:
The effects of change-decomposition on code review - A Controlled Experiment. - Ivan Zubarev, Rasmus Zetter, Hanna-Leena Halme, Lauri Parkkonen:
Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements. - Konstantin Berestizshevsky, Guy Even:
Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence. - Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. - Thomas Lodge, Anthony Brown, Andy Crabtree:
Enabling Trusted App Development @ The Edge. - Seongok Ryu, Jaechang Lim, Woo Youn Kim:
Deeply learning molecular structure-property relationships using graph attention neural network. - Marcin Dymczyk, Marius Fehr, Thomas Schneider, Roland Siegwart:
Long-term Large-scale Mapping and Localization Using maplab. - Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial Examples in Remote Sensing. - Mohammad A. Salahuddin, Ala I. Al-Fuqaha, Mohsen Guizani:
Reinforcement Learning for Resource Provisioning in Vehicular Cloud. - Tiantian Ji, Yue Wu, Chang Wang, Xi Zhang, Zhongru Wang:
The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques. - Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. - Dmitry Kosarev, Dmitry Boulytchev:
Typed Embedding of a Relational Language in OCaml. 1-22 - Maria Bruna, Philip K. Maini, Martin Robinson:
Particle-based simulations of reaction-diffusion processes with Aboria. - Kuan Liu, Xing Shi, Prem Natarajan:
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes. - Mohammad A. Salahuddin, Ala I. Al-Fuqaha, Mohsen Guizani, Khaled Shuaib, Farag M. Sallabi:
Softwarization of Internet of Things Infrastructure for Secure and Smart Healthcare. - David W. Corne, Michael A. Lones:
Evolutionary Algorithms. - Shagun Sodhani, Vardaan Pahuja:
Memory Augmented Self-Play. - Adrien Guatto:
A Generalized Modality for Recursion. - Julia Olkhovskaya, Gergely Neu, Gábor Lugosi:
Online Influence Maximization with Local Observations. - Ankit Goyal, Jian Wang, Jia Deng:
Think Visually: Question Answering through Virtual Imagery. - Chunlei Liu:
Proof of logarithmic stake in block-chain cash system. - Oscar Karnalim, Setia Budi:
The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy. - Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry:
Scalable Methods for 8-bit Training of Neural Networks. - Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal:
Scalable Spectral Clustering Using Random Binning Features. - Robert B. Allen, Teryn K. Jones:
XFO: Toward Programming Rich Semantic Models. - Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks. - Michael Tschannen, Eirikur Agustsson, Mario Lucic:
Deep Generative Models for Distribution-Preserving Lossy Compression. - Amos Lapidoth, Christoph Pfister:
Testing Against Independence and a Rényi Information Measure. - Giulia Fanti, Shaileshh Bojja Venkatakrishnan, Surya Bakshi, Bradley Denby, Shruti Bhargava, Andrew Miller, Pramod Viswanath:
Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees. - Aurko Roy, Ashish Vaswani, Arvind Neelakantan, Niki Parmar:
Theory and Experiments on Vector Quantized Autoencoders. - Chen Tessler, Daniel J. Mankowitz, Shie Mannor:
Reward Constrained Policy Optimization. - Mahdi Mousavi, Hussein Al-Shatri, Anja Klein:
Cost Sharing Games for Energy-Efficient Multi-Hop Broadcast in Wireless Networks. - Yen-Chun Chen, Mohit Bansal:
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. - Francesc Wilhelmi, Sergio Barrachina-Muñoz, Cristina Cano, Boris Bellalta, Anders Jonsson, Gergely Neu:
Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs. - Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine:
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch. - Guiliang Liu, Oliver Schulte:
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. - Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava:
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. - Danial Maleki, Soheila Nadalian, Mohammad Mahdi Derakhshani, Mohammad Amin Sadeghi:
BlockCNN: A Deep Network for Artifact Removal and Image Compression. - Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò:
Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks. - Rico Jonschkowski, Divyam Rastogi, Oliver Brock:
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. - Shubhra Aich, Ian Stavness:
Object Counting with Small Datasets of Large Images. - Sevag Gharibian, Miklos Santha, Jamie Sikora, Aarthi Sundaram, Justin Yirka:
Quantum generalizations of the polynomial hierarchy with applications to QMA(2). - Fionn Murtagh, Giuseppe Iurato:
Core Conflictual Relationship: Text Mining to Discover What and When. - Daniel Rasmussen:
NengoDL: Combining deep learning and neuromorphic modelling methods. - Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation. - Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu:
Refining Source Representations with Relation Networks for Neural Machine Translation. - Jaichen Xue, Muhammad Usama Chaudhry, Balajee Vamanan, T. N. Vijaykumar, Mithuna Thottethodi:
Dart: Divide and Specialize for Fast Response to Congestion in RDMA-based Datacenter Networks. - Noam Mor, Lior Wolf:
Confidence Prediction for Lexicon-Free OCR. - Miguel Ángel Álvarez-Carmona, Luis Pellegrin, Manuel Montes-y-Gómez, Fernando Sánchez-Vega, Hugo Jair Escalante, Adrián Pastor López-Monroy, Luis Villaseñor Pineda, Esaú Villatoro-Tello:
A visual approach for age and gender identification on Twitter. - Nikolaj Tatti:
Strongly polynomial efficient approximation scheme for segmentation. - Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen:
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. - Octavio Narvaez-Aroche, Pierre-Jean Meyer, Murat Arcak, Andrew K. Packard:
Reachability Analysis for Robustness Evaluation of the Sit-To-Stand Movement for Powered Lower Limb Orthoses. - Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu:
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. - Satoru Katsumata, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models. - Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju Uppalapati, Suyash Shetty, Pankaj Singh, Rishabh K. Iyer, Ganesh Ramakrishnan:
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks. - Rinat Mukhometzianov, Juan Carrillo:
CapsNet comparative performance evaluation for image classification. - Xudong Chen:
Controllability of Ensemble Formation System over Digraph. - Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. - Najeeb Khan:
A parallel implementation of the covariance matrix adaptation evolution strategy. - Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. - Xiang Zhang, Philip A. Chou, Ming-Ting Sun, Maolong Tang, Shanshe Wang, Siwei Ma, Wen Gao:
Surface Light Field Compression using a Point Cloud Codec. - Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri:
Statistical Recurrent Models on Manifold valued Data. - Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
Automatic Exposure Compensation for Multi-Exposure Image Fusion. - Xing Niu, Michael J. Denkowski, Marine Carpuat:
Bi-Directional Neural Machine Translation with Synthetic Parallel Data. - Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox:
Non-rigid Reconstruction with a Single Moving RGB-D Camera. - San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley:
MBA: Mini-Batch AUC Optimization. - Edouard Grave, Armand Joulin, Quentin Berthet:
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. - Yaxiang Fan, Gongjian Wen, Deren Li, Shaohua Qiu, Martin D. Levine:
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder. - Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. - Yuen Peng Loh, Chee Seng Chan:
Getting to Know Low-light Images with The Exclusively Dark Dataset. - Gonçalo Abreu, Rui Ferreira Neves, Nuno Horta:
Currency exchange prediction using machine learning, genetic algorithms and technical analysis. - Dongsoo Lee, Byeongwook Kim:
Retraining-Based Iterative Weight Quantization for Deep Neural Networks. - Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region with Natural Language. - Jin Yeong Tan, Lawrence Ong, Behzad Asadi:
The Secure Two-Receiver Broadcast Channel With One-Sided Receiver Side Information. - Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt:
Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems. - Wen Sun, J. Andrew Bagnell, Byron Boots:
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning. - YooJung Choi, Guy Van den Broeck:
On Robust Trimming of Bayesian Network Classifiers. - Assaf Arbelle, Tammy Riklin Raviv:
Microscopy Cell Segmentation via Convolutional LSTM Networks. - Shinsaku Sakaue:
Weak Supermodularity Assists Submodularity-based Approaches to Non-convex Constrained Optimization. - Chengyuan Zhang, Yunwu Lin, Lei Zhu, Xinpan Yuan, Jun Long, Fang Huang:
Hierarchical One Permutation Hashing: Efficient Multimedia Near Duplicate Detection. - Dekel Tsur:
Succinct data structure for dynamic trees with faster queries. - James Melbourne, Saurav Talukdar, Shreyas Bhaban, Murti V. Salapaka:
The deficit in an entropic inequality. - James Melbourne, Saurav Talukdar, Shreyas Bhaban, Murti V. Salapaka:
Error Bounds on a Mixed Entropy Inequality. - Peter Jansen:
Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering? - Saeid Jafari, Ketan Savla:
On Structural Properties of Feedback Optimal Control of Traffic Flow under the Cell Transmission Model. - Cecilia Summers, Michael J. Dinneen:
Improved Mixed-Example Data Augmentation. - Palash Goyal, Nitin Kamra, Xinran He, Yan Liu:
DynGEM: Deep Embedding Method for Dynamic Graphs. - Benjamin Bergougnoux, Mamadou Moustapha Kanté:
More applications of the d-neighbor equivalence: acyclicity and connectivity constraints. - Tony C. W. Mok, Albert C. S. Chung:
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks. - Jean-François Delpech:
Unsupervised detection of diachronic word sense evolution. - Christoph Dürr, Lukasz Jez, Óscar C. Vásquez:
Scheduling under dynamic speed-scaling for minimizing weighted completion time and energy consumption. - Antonio Caliò, Andrea Tagarelli:
Trust-based dynamic linear threshold models for non-competitive and competitive influence propagation. - Robert Beverly, Ramakrishnan Durairajan, David Plonka, Justin P. Rohrer:
In the IP of the Beholder: Strategies for Active IPv6 Topology Discovery. - Arezou Rezazadeh, Josep Font-Segura, Alfonso Martinez, Albert Guillén i Fàbregas:
Multiple-Access Channel with Independent Sources: Error Exponent Analysis. - Mauro Barni, Andrea Costanzo, Ehsan Nowroozi, Benedetta Tondi:
CNN-Based Detection of Generic Constrast Adjustment with JPEG Post-processing. - Jochen Gast, Stefan Roth:
Lightweight Probabilistic Deep Networks. - Anthony L. Caterini, Arnaud Doucet, Dino Sejdinovic:
Hamiltonian Variational Auto-Encoder. - Pascal Mettes, Cees G. M. Snoek:
Pointly-Supervised Action Localization. - Yuta Tokusashi, Hiroki Matsutani, Noa Zilberman:
LaKe: An Energy Efficient, Low Latency, Accelerated Key-Value Store. - Guillem Pascual, Santi Seguí, Jordi Vitrià:
Uncertainty Gated Network for Land Cover Segmentation. - Nikola Mrksic, Ivan Vulic:
Fully Statistical Neural Belief Tracking. - Qiuchi Li, Sagar Uprety, Benyou Wang, Dawei Song:
Quantum-inspired Complex Word Embedding. - Jen Beeston, Christopher Power, Paul A. Cairns, Mark C. Barlet:
Characteristics and Motivations of Players with Disabilities in Digital Games. - Paul Andrei Bricman, Radu Tudor Ionescu:
CocoNet: A deep neural network for mapping pixel coordinates to color values. - Seonhoon Kim, Jin-Hyuk Hong, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. - Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar:
Lovasz Convolutional Networks. - Alexandr Klimchik, Damien Chablat, Anatol Pashkevich:
Advancement of MSA-technique for stiffness modeling of serial and parallel robotic manipulators. - Leo Cazenille, Yohann Chemtob, Frank Bonnet, Alexey Gribovskiy, Francesco Mondada, Nicolas Bredèche, José Halloy:
How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model. - Vishal Batchu, Varshit Battu, Murali Krishna Reddy, Radhika Mamidi:
"How to rate a video game?" - A prediction system for video games based on multimodal information. - Yu Li, Ya Zhang:
Webpage Saliency Prediction with Two-stage Generative Adversarial Networks. - Mohit Kumar, Stefano Teso, Luc De Raedt:
Automating Personnel Rostering by Learning Constraints Using Tensors. - Bicheng Ying, Kun Yuan, Ali H. Sayed:
Learning Under Distributed Features. - Parth Thakkar, Senthil Nathan, Balaji Viswanathan:
Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform. - Guillaume Geoffroy:
Classical realizability as a classifier for nondeterminism. - Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon:
Robust Tumor Localization with Pyramid Grad-CAM. - Yiming Hu, Siyang Sun, Jianquan Li, Xingang Wang, Qingyi Gu:
A novel channel pruning method for deep neural network compression. - Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier:
iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. - Frederic Koehler, Andrej Risteski:
Representational Power of ReLU Networks and Polynomial Kernels: Beyond Worst-Case Analysis. - Thomas Lukaseder, Jessika Fiedler, Frank Kargl:
Performance Evaluation in High-Speed Networks by the Example of Intrusion Detection. - Yongfu Li, Wan Chia Ang, Chin Hui Lee, Kok Peng Chua, Yoong Seang Jonathan Ong, Chiu Wing Colin Hui:
Standard Cell Library Evaluation with Multiple lithography-compliant verification and Improved Synopsys Pin Access Checking Utility. - C. Henrik Åslund, El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer:
Virtuously Safe Reinforcement Learning. - Lingjiao Chen, Paraschos Koutris, Arun Kumar:
Model-based Pricing for Machine Learning in a Data Marketplace. - Duong N. Nguyen, Aleksey Charapko, Sandeep S. Kulkarni, Murat Demirbas:
Technical Report: Optimistic Execution in Key-Value Store. - Farhad Nooralahzadeh, Lilja Øvrelid:
Syntactic Dependency Representations in Neural Relation Classification. - Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush:
OpenNMT: Neural Machine Translation Toolkit. - Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, Alexander Koller:
AMR Dependency Parsing with a Typed Semantic Algebra. - Diego Moussallem, Ricardo Usbeck, Michael Röder, Axel-Cyrille Ngonga Ngomo:
Entity Linking in 40 Languages using MAG. - Yuri Faenza, Telikepalli Kavitha, Vladlena Powers, Xingyu Zhang:
Popular Matchings and Limits to Tractability. - Anastasia Shimorina:
Human vs Automatic Metrics: on the Importance of Correlation Design. - Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet:
Large-Scale Learning from Data Streams with Apache SAMOA. - Sahil Imtiyaz:
Quantum Adiabatic Evolution for Global Optimization in Big Data. - Davide Magrin, Chiara Pielli, Cedomir Stefanovic, Michele Zorzi:
Enabling LTE RACH Collision Multiplicity Detection via Machine Learning. - Alain Couvreur, Matthieu Lequesne, Jean-Pierre Tillich:
Recovering short secret keys of RLCE in polynomial time. - Itthi Chatnuntawech, Kittipong Tantisantisom, Paisan Khanchaitit, Thitikorn Boonkoom, Berkin Bilgic, Ekapol Chuangsuwanich:
Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network. - Umair Javaid, John A. Lee:
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks. - Quirin Scheitle, Oliver Hohlfeld, Julien Gamba, Jonas Jelten, Torsten Zimmermann, Stephen D. Strowes, Narseo Vallina-Rodriguez:
A Long Way to the Top: Significance, Structure, and Stability of Internet Top Lists. - (Withdrawn) ALZA: An Efficient Hybrid Decentralized Payment System.
- Hadi Sarieddeen:
Large Multiuser MIMO Detection: Algorithms and Architectures. - Tobias Müller, Benjamin Dietrich, Torsten Grust:
You Say 'What', I Hear 'Where' and 'Why': (Mis-)Interpreting SQL to Derive Fine-Grained Provenance. - (Withdrawn) Face Recognition in Low Quality Images: A Survey.
- Rainer Kelz, Gerhard Widmer:
Learning to Transcribe by Ear. - Pei Li, Loreto Prieto, Domingo Mery, Patrick J. Flynn:
Low Resolution Face Recognition in the Wild. - Adriano Pastore, Paul de Kerret, Monica Navarro, David Gregoratti, David Gesbert:
Neural Network Aided Decoding for Physical-Layer Network Coding Random Access. - Nicolás Morales, Zhenyu Tang, Dinesh Manocha:
Receiver Placement for Speech Enhancement using Sound Propagation Optimization. - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation. - Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis:
Decision Making of Maximizers and Satisficers Based on Collaborative Explanations. - Blake Anderson, Andrew Chi, Scott Dunlop, David A. McGrew:
Limitless HTTP in an HTTPS World: Inferring the Semantics of the HTTPS Protocol without Decryption. - Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. - Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Visually Grounded, Situated Learning in Neural Models. - Luchen Li, Matthieu Komorowski, Aldo A. Faisal:
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making. - Gerco van Heerdt, Justin Hsu, Joël Ouaknine, Alexandra Silva:
Convex Language Semantics for Nondeterministic Probabilistic Automata. - Neil Urquhart, Emma Hart:
Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. - Uwe D. Reichel, Stefan Benus, Katalin Mády:
Entrainment profiles: Comparison by gender, role, and feature set. - Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarial Regularizers in Inverse Problems. - Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener:
Focal onset seizure prediction using convolutional networks. - Hocine Cherifi:
Non-overlapping community detection. - Amaury Van Bemten, Jochen W. Guck, Carmen Mas Machuca, Wolfgang Kellerer:
Routing Metrics Depending on Previous Edges: The Mn Taxonomy and its Corresponding Solutions. - Daniel Heydecker, Georg Maierhofer, Angelica I. Avilés-Rivero, Qingnan Fan, Carola-Bibiane Schönlieb, Sabine Süsstrunk:
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. - Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas:
Playing hard exploration games by watching YouTube. - Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Vecerík, Matteo Hessel, Rémi Munos, Olivier Pietquin:
Observe and Look Further: Achieving Consistent Performance on Atari. - Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia:
Deep Neural Networks for Swept Volume Prediction Between Configurations. - Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith:
Polyglot Semantic Role Labeling. - Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner:
AdapterNet - learning input transformation for domain adaptation. - Moustafa Al-Hajj, Amani Sabra:
Automatic Identification of Arabic expressions related to future events in Lebanon's economy. - Sadia Afroz, Michael Carl Tschantz, Shaarif Sajid, Shoaib Asif Qazi, Mobin Javed, Vern Paxson:
Exploring Server-side Blocking of Regions. - Nicolas Basset, Ismaël Jecker, Arno Pauly, Jean-François Raskin, Marie van den Bogaard:
Beyond admissibility: Dominance between chains of strategies. - Miguel Ángel Álvarez-Carmona, Marc Franco-Salvador, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Paolo Rosso, Luis Villaseñor Pineda:
Semantically-informed distance and similarity measures for paraphrase plagiarism identification. - John Lambert, Ozan Sener, Silvio Savarese:
Deep Learning under Privileged Information Using Heteroscedastic Dropout. - Jihun Hamm, Yung-Kyun Noh:
K-Beam Subgradient Descent for Minimax Optimization. - Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis:
High Dimensional Robust Sparse Regression. - Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
Teaching Meaningful Explanations. - Vadim Markovtsev, Waren Long, Egor Bulychev, Romain Keramitas, Konstantin Slavnov, Gabor Markowski:
Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network. - Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. - Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. - Marco Bernardo, Edoardo Bontà, Alessandro Aldini:
Process Algebraic Architectural Description Languages: Generalizing Component-Oriented Mismatch Detection in the Presence of Nonsynchronous Communications. - Christopher D. Clack, Gabriel Vanca:
Temporal Aspects of Smart Contracts for Financial Derivatives. - Li-on Raviv, Amir Leshem:
Maximizing Service Reward for Queues with Deadlines. - Michael Pradel, Koushik Sen:
DeepBugs: A Learning Approach to Name-based Bug Detection. - Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine:
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition. - Michalis Xenos:
The Future of Virtual Classroom: Using Existing Features to Move Beyond Traditional Classroom Limitations. - (Withdrawn) Coded Computation Against Distributed Straggling Decoders for Gaussian Channels in C-RAN.
- Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. - Quan Ho Vuong, Yiming Zhang, Keith W. Ross:
Supervised Policy Update. - Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli:
Active and Adaptive Sequential learning. - Justas Dauparas, Ryota Tomioka, Katja Hofmann:
Depth and nonlinearity induce implicit exploration for RL. - Elaheh Rashedi, Abdolreza Mirzaei:
A Novel Multi-clustering Method for Hierarchical Clusterings, Based on Boosting. - Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt:
Deep Video Portraits. - Sidharth Gupta, Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic:
Deep Mesh Projectors for Inverse Problems. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
The Age of Updates in a Simple Relay Network. - Georgios S. Paschos, George Iosifidis, Meixia Tao, Don Towsley, Giuseppe Caire:
The Role of Caching in Future Communication Systems and Networks. - Joao V. C. Evangelista, Zeeshan Sattar, Georges Kaddoum, Anas Chaaban:
Fairness and Sum-Rate Maximization via Joint Channel and Power Allocation in Uplink SCMA Networks. - Sanjay Chawla, Bertty Contreras-Rojas, Zoi Kaoudi, Sebastian Kruse, Jorge-Arnulfo Quiané-Ruiz:
Building your Cross-Platform Application with RHEEM. - Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing:
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. - Hong-Chuan Yang, Mohamed-Slim Alouini:
Characterizing Energy Efficiency of Wireless Transmission for Green Internet of Things: A Data-Oriented Approach. - Ahmed El-Roby, Khalid Ammar, Ashraf Aboulnaga, Jimmy Lin:
Sapphire: Querying RDF Data Made Simple. - Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
HeadOn: Real-time Reenactment of Human Portrait Videos. - Li Sulimowicz, Ishfaq Ahmad, Alexander J. Aved:
Superpixel-enhanced Pairwise Conditional Random Field for Semantic Segmentation. - Federico Becattini, Lorenzo Berlincioni, Leonardo Galteri, Lorenzo Seidenari, Alberto Del Bimbo:
Semantic Road Layout Understanding by Generative Adversarial Inpainting. - Thach V. Bui, Minoru Kuribayashi, Tetsuya Kojima, Isao Echizen:
Sublinear decoding schemes for non-adaptive group testing with inhibitors. - Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. - Oluwatobi Olabiyi, Alan Salimov, Anish Khazane, Erik T. Mueller:
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework. - Reza M. Parizi:
Microservices as an Evolutionary Architecture of Component-Based Development: A Think-aloud Study. - Bing Liu, Ian R. Lane:
Adversarial Learning of Task-Oriented Neural Dialog Models. - Shengtian Yang, Jun Chen:
A Geometric Property of Relative Entropy and the Universal Threshold Phenomenon for Binary-Input Channels with Noisy State Information at the Encoder. - Weijun Zhu, ShaoHuan Ban, Yongwen Fan:
Approximate LTL model checking. - Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros, Julian Togelius:
"Press Space to Fire": Automatic Video Game Tutorial Generation. - Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks. - Amir Rasouli, John K. Tsotsos:
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice. - Fereshte Khani, Noah D. Goodman, Percy Liang:
Planning, Inference and Pragmatics in Sequential Language Games. - Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. - Fernando Camaro Nogue, Andrew Huie, Sakyasingha Dasgupta:
Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images. - Shuhang Zhang, Hongliang Zhang, Boya Di, Lingyang Song:
Cellular Controlled Cooperative Unmanned Aerial Vehicle Networks with Sense-and-Send Protocol. - Gökhan Kul, Shambhu J. Upadhyaya, Varun Chandola:
Detecting Data Leakage from Databases on Android Apps with Concept Drift. - Keisuke Imoto:
Acoustic Scene Analysis Using Partially Connected Microphones Based on Graph Cepstrum. - Wen-Xuan Liao, Xuan-Yu Wang, Dong An, Yaoguang Wei:
Hyperspectral Imaging Technology and Transfer Learning Utilized in Identification Haploid Maize Seeds. - Luna M. Zhang:
Multi-function Convolutional Neural Networks for Improving Image Classification Performance. - Thao Le Minh, Nakamasa Inoue, Koichi Shinoda:
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. - Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Grow and Prune Compact, Fast, and Accurate LSTMs. - Taro Sekiyama, Kohei Suenaga:
Automated proof synthesis for propositional logic with deep neural networks. - Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff:
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. - Can Li, Zhongrui Wang, Mingyi Rao, Daniel Belkin, Wenhao Song, Hao Jiang, Peng Yan, Yunning Li, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia:
Long short-term memory networks in memristor crossbars. - Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network. - Phuong Anh Nguyen, Yi-Jie Lu, Hao Zhang, Chong-Wah Ngo:
The VIREO KIS at VBS 2018. - Puneet Kohli, Anjali Chadha:
Enabling Pedestrian Safety using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash. - Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick:
Visual Referring Expression Recognition: What Do Systems Actually Learn? - Christian Blum, Haroldo Gambini Santos:
Generic CP-Supported CMSA for Binary Integer Linear Programs. - Loet Leydesdorff, Ivan Cucco:
Regions, Innovation Systems, and the North-South Divide in Italy. - Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu:
Anaphora and Coreference Resolution: A Review. - Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
Autonomous Driving among Many Pedestrians: Models and Algorithms. - Vadim Ratner, Yoel Shoshan, Tal Kachman:
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels. - Chenglin Li, Rui Zhu, Di Niu, Keith G. Mills, Hongwen Zhang, Husam Kinawi:
Android Malware Detection based on Factorization Machine. - Igor Korkin:
Hypervisor-Based Active Data Protection for Integrity and Confidentiality of Dynamically Allocated Memory in Windows Kernel. - Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network. - Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani, Akio Nakamura, Hirokatsu Kataoka:
Neural Joking Machine : Humorous image captioning. - Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau:
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. - Tian Lan, Yuanyuan Li, Jonah Kimani Murugi, Yi Ding, Zhiguang Qin:
RUN: Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection. - Anil Sharma, Prabhat Kumar:
Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training. - Torben Hagerup:
Space-Efficient DFS and Applications: Simpler, Leaner, Faster. - Chao-Chun Hsu, Szu-Min Chen, Ming-Hsun Hsieh, Lun-Wei Ku:
Using Inter-Sentence Diverse Beam Search to Reduce Redundancy in Visual Storytelling. - Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System. - Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection. - Itai Arieli, Moran Koren, Rann Smorodinsky:
The One-Shot Crowdfunding Game. - Christopher H. Broadbent, Arnaud Carayol, Matthew Hague, Olivier Serre:
Emptiness of Stack Automata is NEXPTIME-complete: A Correction. - Carl Witt, Marc Bux, Wladislaw Gusew, Ulf Leser:
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning. - Dominik Kowald:
Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. - Paul Groth, Laura Koesten, Philipp Mayr, Maarten de Rijke, Elena Simperl:
DATA: SEARCH'18 - Searching Data on the Web. - Seyed Pooya Shariatpanahi, Mahdi Jafari Siavoshani, Mohammad Ali Maddah-Ali:
Multi-Message Private Information Retrieval with Private Side Information. - Ali Bereyhi, Saeid Haghighatshoar, Ralf R. Müller:
Theoretical Bounds on MAP Estimation in Distributed Sensing Networks. - Ali Bereyhi, Mohammad Ali Sedaghat, Ralf R. Müller:
RLS Recovery with Asymmetric Penalty: Fundamental Limits and Algorithmic Approaches. - Yizhu Wang, Jing Zhou, Wenyi Zhang:
Capacity bounds for bandlimited Gaussian channels with peak-to-average-power-ratio constraint. - Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq:
Q-Graph: Preserving Query Locality in Multi-Query Graph Processing. - Ping Ren, Andrea Munari, Marina Petrova:
Performance Tradeoffs of Joint Radar-Communication Networks. - Atis Elsts, Tilo Burghardt, Dallan Byrne, Dima Damen, Xenofon Fafoutis, Sion L. Hannuna, Víctor Ponce-López, Alessandro Masullo, Majid Mirmehdi, George Oikonomou, Robert J. Piechocki, Emma Tonkin, Antonis Vafeas, Przemyslaw Woznowski, Ian Craddock:
A Guide to the SPHERE 100 Homes Study Dataset. - Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture. - Hojoon Lee, Chihyun Song, Brent ByungHoon Kang:
Lord of the x86 Rings: A Portable User Mode Privilege Separation Architecture on x86. - Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Propagating Confidences through CNNs for Sparse Data Regression. - Ali Bereyhi, Saba Asaad, Rafael F. Schaefer, Ralf R. Müller:
Iterative Antenna Selection for Secrecy Enhancement in Massive MIMO Wiretap Channels. - Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler:
Multiple Manifolds Metric Learning with Application to Image Set Classification. - Sergey Ivanov, Evgeny Burnaev:
Anonymous Walk Embeddings. - Stefano Pini, Filippo Grazioli, Guido Borghi, Roberto Vezzani, Rita Cucchiara:
Learning to Generate Facial Depth Maps. - Yang Zhao, Sina Dehghan, Abdullah Ates, Jie Yuan, Fengyu Zhou, Yan Li, YangQuan Chen:
PID2018 Benchmark Challenge: learning feedforward control. - Gözde Gül Sahin, Mark Steedman:
Character-Level Models versus Morphology in Semantic Role Labeling. - Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang:
Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
Adjacency and Tensor Representation in General Hypergraphs.Part 2: Multisets, Hb-graphs and Related e-adjacency Tensors. - Chuyu Xiong:
Algebraic Expression of Subjective Spatial and Temporal Patterns. - Rodrigo Ferreira Berriel, Franco Schmidt Rossi, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach. - D. Schöllhammer, T. P. Fries:
Kirchhoff-Love shell theory based on tangential differential calculus. - Mihai Andries, Atabak Dehban, José Santos-Victor:
Automatic generation of object shapes with desired functionalities. - Hao Wang, Chi-Sing Leung, Hing-Cheung So, Ruibin Feng, Zi-Fa Han:
l0-norm Based Centers Selection for Failure Tolerant RBF Networks. - Clément Aubert, Marc Bagnol:
Unification and Logarithmic Space. - Marie Farrell, Matt Luckcuck, Michael Fisher:
Robotics and Integrated Formal Methods: Necessity meets Opportunity. - Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer:
Reference-free Calibration in Sensor Networks. - Yahia Shabara, C. Emre Koksal, Eylem Ekici:
Beam Discovery Using Linear Block Codes for Millimeter Wave Communication Networks. - Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini:
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. - Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder. - Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese:
Generalizing to Unseen Domains via Adversarial Data Augmentation. - Paul Temple, Mathieu Acher, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli:
Towards Adversarial Configurations for Software Product Lines. - Zhiyong Zhou, Jun Yu:
On q-ratio CMSV for sparse recovery. - Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Privacy Aware Offloading of Deep Neural Networks. - Maria Glenski, Tim Weninger, Svitlana Volkova:
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. - Dhrubajyoti Ghosh, Roberto Yus, Yasser Altowim, Sharad Mehrotra:
Progressive Evaluation of Queries over Untagged Data. - Corey Tessler, Nathan Fisher:
BUNDLEP: Prioritizing Conflict Free Regions in Multi-Threaded Programs to Improve Cache Reuse - Extended Results and Technical Report. - Victor Y. Pan:
Polynomial Factorization Is Simple and Helpful - More So Than It Seems to Be. - Sahar Ghannay, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin:
End-to-end named entity extraction from speech. - Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Robust Place Categorization with Deep Domain Generalization. - Timothy Chu, Yu Gao, Richard Peng, Sushant Sachdeva, Saurabh Sawlani, Junxing Wang:
Graph Sparsification, Spectral Sketches, and Faster Resistance Computation, via Short Cycle Decompositions. - Genta Indra Winata, Chien-Sheng Wu, Andrea Madotto, Pascale Fung:
Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition. - Youssef Mroueh, Tom Sercu, Anant Raj:
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. - Jo Schlemper, Guang Yang, Pedro F. Ferreira, Andrew D. Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert:
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. - Byungjae Lee, Kyunghyun Paeng:
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer. - Eray Özkural:
Omega: An Architecture for AI Unification. - Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning. - Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans:
Automatic, fast and robust characterization of noise distributions for diffusion MRI. - Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro:
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks. - Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. - Lazar Supic, Rawan Naous, Ranko Sredojevic, Aleksandra Faust, Vladimir Stojanovic:
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression. - Luigi Vigneri, Nikolaos Liakopoulos, Georgios S. Paschos, Spyridon Vassilaras, Apostolos Destounis, Thrasyvoulos Spyropoulos, Mérouane Debbah:
Model-Driven Artificial Intelligence for Online Network Optimization. - Marcin Junczys-Dowmunt, Kenneth Heafield, Hieu Hoang, Roman Grundkiewicz, Anthony Aue:
Marian: Cost-effective High-Quality Neural Machine Translation in C++. - Shahar Somin, Goren Gordon, Yaniv Altshuler:
Social Signals in the Ethereum Trading Network. - Man-Chin Sun, Shih-Huan Hsu, Min-Chun Yang, Jen-Hsien Chien:
Context-aware Cascade Attention-based RNN for Video Emotion Recognition. - Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine:
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. - Aldo Gangemi, Mehwish Alam, Valentina Presutti:
Amnestic Forgery: an Ontology of Conceptual Metaphors. - Andrew Collins, Jöran Beel, Dominika Tkaczyk:
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level. - George Mathew, Tim Menzies:
Better Metrics for Ranking SE Researchers. - Carl Allen, Ivana Balazevic, Timothy M. Hospedales:
What the Vec? Towards Probabilistically Grounded Embeddings. - Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos. - Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos:
A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations. - Ibraheem Kasim Ibraheem, Wameedh Riyadh Abdul Adeem:
An Improved Active Disturbance Rejection Control for a Differential Drive Mobile Robot with Mismatched Disturbances and Uncertainties. - Ahad N. Zehmakan:
Opinion Forming in Binomial Random Graph and Expanders. - Mrigank Rochan, Yang Wang:
Learning Video Summarization Using Unpaired Data. - Kevin Joslyn, Naifan Zhuang, Kien A. Hua:
Deep Segment Hash Learning for Music Generation. - Aharon Azulay, Yair Weiss:
Why do deep convolutional networks generalize so poorly to small image transformations? - Christopher A. George, Pranab Banerjee, Kendra E. Moore:
Context Exploitation using Hierarchical Bayesian Models. - Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. - Yan Leng, Yehonatan Sella, Alex Pentland:
Cascade Centrality with heterogeneous nodal influence in a noisy environment. - Yan Leng, Haris N. Koutsopoulos, Jinhua Zhao:
Profiling presence patterns and segmenting user locations from cell phone data. - Nathan Bliss, Timothy Duff, Anton Leykin, Jeff Sommars:
Monodromy Solver: Sequential and Parallel. - Babak Fotouhi, Naghmeh Momeni, Benjamin Allen, Martin A. Nowak:
Conjoining uncooperative societies facilitates evolution of cooperation. - Zhihong Shen, Hao Ma, Kuansan Wang:
A Web-scale system for scientific knowledge exploration. - Md. Rezaul Karim, Michael Cochez, Oya Beyan, Achille Zappa, Ratnesh Sahay, Stefan Decker, Dietrich Rebholz-Schuhmann:
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. - Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof:
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps. - Sara Shehab, Sameh Abdulah, Arabi E. Keshk:
A Survey of the State-of-the-Art Parallel Multiple Sequence Alignment Algorithms on Multicore Systems. - Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan:
How Important Is a Neuron? - Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith:
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. - Eduar Castrillo, Elizabeth León, Jonatan Gómez:
High-Quality Disjoint and Overlapping Community Structure in Large-Scale Complex Networks. - Ajay D. Kshemkalyani, Faizan Ali:
Efficient Dispersion of Mobile Robots on Graphs. - Henglai Wei, Xiaochuan Yin, Penghong Lin:
Novel Video Prediction for Large-scale Scene using Optical Flow. - Maximilien Gadouleau:
On the influence of the interaction graph on a finite dynamical system. - Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. - Haomiao Wang, Thiagaraj Prabu, Oliver Sinnen:
Harmonic-summing Module of SKA on FPGA-Optimising the Irregular Memory Accesses. - Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Mark S. Drew:
Rehabilitating the Color Checker Dataset for Illuminant Estimation. - Nikos Kouvelas, Vijay S. Rao, R. Venkatesha Prasad:
Employing p-CSMA on a LoRa Network Simulator. - Elaine M. Sedenberg, James X. Dempsey:
Cybersecurity Information Sharing Governance Structures: An Ecosystem of Diversity, Trust, and Tradeoffs. - João Pedro Dias, Luís Reis, Hugo Sereno Ferreira, Angelo Martins:
Blockchain for Access Control in e-Health Scenarios. - Hassan H. Sinky, Bassem Khalfi, Bechir Hamdaoui, Ammar Rayes:
Responsive Content-Centric Delivery in Large Urban Communication Networks: A LinkNYC Use-Case. - Elaheh Rashedi, Abdolreza Mirzaei:
Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach. - Yuxuan Xing, Hulya Seferoglu:
Predictive Edge Computing with Hard Deadlines. - Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann:
Learning Factorized Representations for Open-set Domain Adaptation. - Tolga Birdal, Umut Simsekli, M. Onur Eken, Slobodan Ilic:
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. - Haomiao Wang, Thiagaraj Prabu, Oliver Sinnen:
FPGA-based Acceleration of FT Convolution for Pulsar Search Using OpenCL. - Huda Khayrallah, Philipp Koehn:
On the Impact of Various Types of Noise on Neural Machine Translation. - Yuchen Yang, Shuo Liu, Wei Ma, Qiuyuan Wang, Zheng Liu:
Efficient Traffic-Sign Recognition with Scale-aware CNN. - Kemal Kurniawan, Samuel Louvan:
Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts. - David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell:
Image-Dependent Local Entropy Models for Learned Image Compression. - Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez:
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. - Avishek Joey Bose, Parham Aarabi:
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. - Shuang Song, Xu Liu, Qinzhe Wu, Andreas Gerstlauer, Tao Li, Lizy K. John:
Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction. - Genta Indra Winata, Onno Pepijn Kampman, Pascale Fung:
Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision. - Luliang Jia, Yuhua Xu, Youming Sun, Shuo Feng, Alagan Anpalagan:
Stackelberg Game Approaches for Anti-jamming Defence in Wireless Networks. - Lu Zheng, Zhao Tan, Kun Han, Ren Mao:
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace. - Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data. - Michael P. Kim, Amirata Ghorbani, James Y. Zou:
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. - Jingyu Shao, Qing Wang, Yu Lin:
Skyblocking: Learning Blocking Schemes on the Skyline. - Rong Zhu, Zhaonian Zou, Yue Han, Sheng Yang, Jianzhong Li:
QuickIM: Efficient, Accurate and Robust Influence Maximization Algorithm on Billion-Scale Networks. - (Withdrawn) Geometric Active Learning via Enclosing Ball Boundary.
- Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester W. Mackey, Genevieve Patterson:
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation. - Timo Stoffregen, Lindsay Kleeman:
Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor. - Neri Merhav:
False-Accept/False-Reject Trade-offs in Biometric Authentication Systems. - Jens Lundell, Francesco Verdoja, Ville Kyrki:
Hallucinating robots: Inferring obstacle distances from partial laser measurements. - Thien-Minh Nguyen, Lihua Xie:
Least-square based recursive optimization for distance-based source localization. - Weijun Fang, Fang-Wei Fu:
Optimal cyclic (r, δ) locally repairable codes with unbounded length. - Svetlana Nikitina, Florian Daniel, Marcos Báez, Fabio Casati:
Crowdsourcing for Reminiscence Chatbot Design. - Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. - Alona Golts, Daniel Freedman, Michael Elad:
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs. - Jie Chen, Junhui Hou, Lap-Pui Chau:
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework. - Wen Zeng, Jiayi Zhang, Shuaifei Chen, Kostas P. Peppas, Bo Ai:
Physical Layer Security over Fluctuating Two-Ray Fading Channels. - Yali Yuan, Chencheng Liang, Megumi Kaneko, Xu Chen, Dieter Hogrefe:
Topology Control for Energy-Efficient Localization in Mobile Underwater Sensor Networks using Stackelberg Game. - Ju Xu, Zhanxing Zhu:
Reinforced Continual Learning. - Dharin Parekh, Ankitesh Gupta, Shharrnam Chhatpar, Anmol Yash Kumar, Manasi Kulkarni:
Lip Reading Using Convolutional Auto Encoders as Feature Extractor. - Su Young Lee, Sung-Ik Choi, Sae-Young Chung:
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update. - Jorge Ramírez, Evgeny Krivosheev, Marcos Báez, Fabio Casati, Boualem Benatallah:
CrowdRev: A platform for Crowd-based Screening of Literature Reviews. - Tanujit Chakraborty, Ashis Kumar Chakraborty:
Superensemble classifier for learning from imbalanced business school data set. - Max Klimm, Philipp Warode:
Computing all Wardrop Equilibria parametrized by the Flow Demand. - (Withdrawn) SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation.
- Laurent Orseau, Simon McGregor McGill, Shane Legg:
Agents and Devices: A Relative Definition of Agency. - Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara:
Sample Reuse via Importance Sampling in Information Geometric Optimization. - Yuyu Zhang, Hanjun Dai, Kamil Toraman, Le Song:
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings. - Mamadou Dian Bah, Adel Hafiane, Raphaël Canals:
Deep Learning with unsupervised data labeling for weeds detection on UAV images. - R. Stuart Geiger, Nelle Varoquaux, Charlotte Mazel-Cabasse, Chris Holdgraf:
The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries: A Collaborative Ethnography of Documentation Work. - Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross:
Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings. - Waqas Aman, Muhammad Mahboob Ur Rahman, Junaid Qadir:
Impersonation Detection in AWGN-limited Underwater Acoustic Sensor Networks. - Gabriele Fici, Zsuzsanna Lipták:
On Prefix Normal Words. - Niranjan Saikumar, Rahul Kumar Sinha, S. Hassan HosseinNia:
'Constant in gain Lead in phase' element - Application in precision motion control. - Sergi Valverde, Mostafa Salem, Mariano Cabezas, Deborah Pareto, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Joaquim Salvi, Arnau Oliver, Xavier Lladó:
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks. - Murat Manguoglu, Volker Mehrmann:
A Robust Iterative Scheme for Symmetric Indefinite Systems. - Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran:
HOPF: Higher Order Propagation Framework for Deep Collective Classification. - Katarína Kejstová, Petr Rockai, Jiri Barnat:
From Model Checking to Runtime Verification and Back. - Agniva Sengupta, Shafeeq Elanattil:
New Feature Detection Mechanism for Extended Kalman Filter Based Monocular SLAM with 1-Point RANSAC. - Lei Yu, Vincent Y. F. Tan:
Simulation of Random Variables under Rényi Divergence Measures of All Orders. - Junjie Luo, Hendrik Molter, Ondrej Suchý:
A Parameterized Complexity View on Collapsing k-Cores. - Eitan Richardson, Yair Weiss:
On GANs and GMMs. - Naoya Sogi, Taku Nakayama, Kazuhiro Fukui:
A Method Based on Convex Cone Model for Image-Set Classification with CNN Features. - Alex Warstadt, Amanpreet Singh, Samuel R. Bowman:
Neural Network Acceptability Judgments. - Abdülkadir Çakir, Ümmüsan Çitak:
Simulation Of Logic Circuit Tests On Android-Based Mobile Devices. - Gabriella A. B. Barros, Michael Cerny Green, Antonios Liapis, Julian Togelius:
Data-driven Design: A Case for Maximalist Game Design. - Hua Dong, Li Yang:
A voting scheme with post-quantum security based on physical laws. - David Butler, David Aspinall, Adrià Gascón:
How to Simulate It in Isabelle: Towards Formal Proof for Secure Multi-Party Computation. - Paul Grefen, Wout Hofman, Remco M. Dijkman, Albert W. Veenstra, Sander Peters:
An Integrated View on the Future of Logistics and Information Technology. - Edgar Tretschk, Seong Joon Oh, Mario Fritz:
Sequential Attacks on Agents for Long-Term Adversarial Goals. - Reza Shahbazi:
Structural Isomprphism in Mathematical Expressions: A Simple Coding Scheme. - Andreas Björklund, Brajesh Gupt, Nicolás Quesada:
A faster hafnian formula for complex matrices and its benchmarking on the Titan supercomputer. - Li Zhang, Steven R. Wilson, Rada Mihalcea:
Multi-Label Transfer Learning for Semantic Similarity. - Zhaoqiang Chen, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li:
Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective. - Yeting Li, Xinyu Chu, Xiaoying Mou, Chunmei Dong, Haiming Chen:
Practical Study of Deterministic Regular Expressions from Large-scale XML and Schema Data. - Santiago Cortés Reina, Arno Solin, Juho Kannala:
Robust Gyroscope-Aided Camera Self-Calibration. - Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections. - Werner Kroneman, Alessandro Corbetta, Federico Toschi:
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG. - Sarin E. Chandy, Amin Rasekh, Zachary A. Barker, M. Ehsan Shafiee:
Cyberattack Detection using Deep Generative Models with Variational Inference. - Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Guillermo Suarez-Tangil:
On the Origins of Memes by Means of Fringe Web Communities. - Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. - Arne Köhn:
Incremental Natural Language Processing: Challenges, Strategies, and Evaluation. - Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran:
Fusion Graph Convolutional Networks. - Saiprasad Ravishankar, Anna Ma, Deanna Needell:
Analysis of Fast Structured Dictionary Learning. - Flynn Wolf, Adam J. Aviv, Ravi Kuber:
Classifying Eyes-Free Mobile Authentication Techniques. - Weizhe Hua, Christopher De Sa, Zhiru Zhang, G. Edward Suh:
Channel Gating Neural Networks. - Aris Filos-Ratsikas, Paul W. Goldberg:
The Complexity of Splitting Necklaces and Bisecting Ham Sandwiches. - Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). - Tal Friedman, Guy Van den Broeck:
Approximate Knowledge Compilation by Online Collapsed Importance Sampling. - Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn:
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. - Raphaël Berthon, Bastien Maubert, Aniello Murano:
Decidability results for ATL* with imperfect information and perfect recall. - Alkan Soysal, Sennur Ulukus:
Age of Information in G/G/1/1 Systems. - Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth:
Diverse and Controllable Image Captioning with Part-of-Speech Guidance. - Raphaël Berthon, Bastien Maubert, Aniello Murano, Sasha Rubin, Moshe Y. Vardi:
Strategy Logic with Imperfect Information. - Uzi Pereg, Yossef Steinberg:
The Arbitrarily Varying Gaussian Relay Channel with Sender Frequency Division. - Qianqian Zhang, Mohammad Mozaffari, Walid Saad, Mehdi Bennis, Mérouane Debbah:
Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications. - Nathaniel McVicar, Akina Hoshino, Anna La Torre, Thomas A. Reh, Walter L. Ruzzo, Scott Hauck:
FPGA Acceleration of Short Read Alignment. - Constantine Alexander Vitt, Darinka Dentcheva, Hui Xiong:
Risk-Averse Classification. - Xiaofang Wang, Yujuan Sun, Weiguo Zhang:
State Diagrams of a Class of Singular LFSR and Their Applications to the Construction of de Bruijn Cycles. - Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Convolutional Neural Networks Architectures for Signals Supported on Graphs. - Silvio F. B. Pinto, Rodrigo C. de Lamare:
Multi-Step Knowledge-Aided Iterative ESPRIT for Direction Finding. - Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh:
Compact Factorization of Matrices Using Generalized Round-Rank. - Walid Ahmad, Mason A. Porter, Mariano Beguerisse-Díaz:
Tie-decay temporal networks in continuous time and eigenvector-based centralities. - Patricia R. Barbosa, Yugandhar Sarkale, Edwin K. P. Chong, Yun Li, Sofia Suvorova, Bill Moran:
Controlled Tracking in Urban Terrain: Closing the Loop. - Ioannis Pachoulakis:
Realistic Multimedia Tools based on Physical Models: II. The Binary 3D Renderer (B3dR). - Sarod Yatawatta:
Performance Analysis of Distributed Radio Interferometric Calibration. - Shabab Bazrafkan, Hossein Javidnia, Peter Corcoran:
Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators. - Duc Phuc Nguyen, Dinh-Dung Le, Thi Hong Tran, Huu-Thuan Huynh, Yasuhiko Nakashima:
Hardware Implementation of A Non-RLL Soft-decoding Beacon-based Visible Light Communication Receiver. - Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan:
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring. - Jan M. Kelner:
Cooperative system of emission source localization based on SDF. - Stefanos Kourtis, Claudio Chamon, Eduardo R. Mucciolo, Andrei E. Ruckenstein:
Fast counting with tensor networks. - Ibraheem Kasim Ibraheem, Salam Wisam Hadi:
Design and Implementation of a Low-Cost Secure Vehicle Tracking System. - Jingzhao Zhang, Aryan Mokhtari, Suvrit Sra, Ali Jadbabaie:
Direct Runge-Kutta Discretization Achieves Acceleration. - Ping Li:
Sign-Full Random Projections. - Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry:
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. - Aryan Mobiny:
Text-Independent Speaker Verification Using Long Short-Term Memory Networks. - Didan Deng, Yuqian Zhou, Jimin Pi, Bertram E. Shi:
Multimodal Utterance-level Affect Analysis using Visual, Audio and Text Features. - Flávio Teixeira, Karin Schnass:
Compressed Dictionary Learning. - Carolina Becatti, Guido Caldarelli, Fabio Saracco:
Entropy-based randomisation of rating networks. - Maxime Lenormand, Sandra Luque, Johannes Langemeyer, Patrizia Tenerelli, Grazia Zulian, Inge Aalders, Serban Chivulescu, Pedro Clemente, Jan Dick, Jiska van Dijk, Michiel van Eupen, Relu C. Giuca, Leena Kopperoinen, Eszter Lellei-Kovács, Michael Leone, Juraj Lieskovský, Uta Schirpke, Alison C. Smith, Ulrike Tappeiner, Helen Woods:
Multiscale socio-ecological networks in the age of information. - Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang:
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition. - Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel:
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series. - Victoria J. Hodge, Jim Austin:
An Evaluation of Classification and Outlier Detection Algorithms. - Quan-Hui Liu, Feng-Mao Lü, Qian Zhang, Ming Tang, Tao Zhou:
Impacts of Opinion Leaders on Social Contagions. - Saeed H. Alsamhi, Ou Ma, Mohammad Samar Ansari, Qingliang Meng:
Greening Internet of Things for Smart Everythings with A Green-Environment Life: A Survey and Future Prospects. - Oscar Claveria, Enric Monte, Salvador Torra:
Modelling cross-dependencies between Spain's regional tourism markets with an extension of the Gaussian process regression model. - Zeren Tan, Ruimin Li:
A Dynamic Model for Traffic Flow Prediction Using Improved DRN. - Oscar Claveria, Enric Monte, Salvador Torra:
Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection. - Geoffrey Irving, Paul F. Christiano, Dario Amodei:
AI safety via debate. - Austin R. Benson, David F. Gleich:
Computing tensor Z-eigenvectors with dynamical systems. - Grant M. Rotskoff, Eric Vanden-Eijnden:
Neural Networks as Interacting Particle Systems: Asymptotic Convexity of the Loss Landscape and Universal Scaling of the Approximation Error. - Michael Francis Gensheimer, Balasubramanian Narasimhan:
A Simple Discrete-Time Survival Model for Neural Networks. - Anant Raj, Sebastian U. Stich:
SVRG meets SAGA: k-SVRG - A Tale of Limited Memory. - Lukas F. Lang:
A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation Laws. - Jean-Baptiste Regli, Ricardo Silva:
Alpha-Beta Divergence For Variational Inference. - Sebastian M. Cioaba, Jack H. Koolen, Hiroshi Nozaki:
A spectral version of the Moore problem for bipartite regular graphs. - Zhaoqi Li, Yu Ma, Catalina Vajiac, Yunkai Zhang:
Exploration of Numerical Precision in Deep Neural Networks. - Ville Vestman, Tomi Kinnunen:
Supervector Compression Strategies to Speed up I-Vector System Development. - Jiaxu Cui, Bo Yang:
Graph Bayesian Optimization: Algorithms, Evaluations and Applications. - Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Optimization of computational budget for power system risk assessment. - Marc Aubreville, Kai Ehrensperger, Tobias Rosenkranz, Benjamin Graf, Henning Puder, Andreas K. Maier:
Deep Denoising for Hearing Aid Applications. - Hyeong Soo Chang:
An Asymptotically Optimal Strategy for Constrained Multi-armed Bandit Problems. - Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. - Yunlong Ma, Chunyan Wang:
SdcNet: A Computation-Efficient CNN for Object Recognition. - Arnau Mir, Francesc Rosselló, Lucia Rotger:
Sound Colless-like balance indices for multifurcating trees. - Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei:
Noisin: Unbiased Regularization for Recurrent Neural Networks. - Md Mehedi Hassan Onik, Shakhawat Ahmmed Nobin, Adnan Ferdous Ashrafi, Tareque Mohmud Chowdhury:
Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient. - Bin Luo, Qi Zhang, Somya D. Mohanty:
Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment. - Kumarjit Pathak, Jitin Kapila, Aasheesh Barvey, Nikit Gawande:
Distribution Assertive Regression. - James S. K. Tee, Desmond P. Taylor:
Is Information in the Brain Represented in Continuous or Discrete Form? - Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori, Peter L. Bartlett, Michael I. Jordan:
Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting. - Xin Ma:
A brief introduction to the Grey Machine Learning. - Stefano Gherardini:
Noise as a resource. - David Rügamer, Sonja Greven:
Valid Inference for L2-Boosting. - Jie Yang, Diego Klabjan:
Bayesian active learning for choice models with deep Gaussian processes. - Giuseppe Toscani, Andrea Tosin, Mattia Zanella:
Opinion modeling on social media and marketing aspects. - Brian R. Bartoldson, Adrian Barbu, Gordon Erlebacher:
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. - Joshua Brulé:
Causal programming: inference with structural causal models as finding instances of a relation. - Yoshihiko Susuki, Ryo Hamasaki, Atsushi Ishigame:
Estimation of Power System Inertia Using Nonlinear Koopman Modes. - Eric V. Strobl:
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias. - David Tolpin:
Population Anomaly Detection through Deep Gaussianization. - John Clemens:
Automatic Classification of Object Code Using Machine Learning. - Ross J. Kang, Willem van Loon:
Tree-like distance colouring for planar graphs of sufficient girth. - Makito Oku:
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clustering. - Michael C. H. Choi:
Velocity formulae between entropy and hitting time for Markov chains. - Ehsan Rahmatizad KhajePasha, Mahdi Bazarghan, Hamidreza Kheiri Manjili, Ramin Mohammadkhani, Ruhallah Amandi:
Predicting clinical significance of BRCA1 and BRCA2 single nucleotide substitution variants with unknown clinical significance using probabilistic neural network and deep neural network-stacked autoencoder. - Peter Harremoës:
Statistical Inference and Exact Saddle Point Approximations. - Lingrui Gan, Naveen N. Narisetty, Feng Liang:
Bayesian Regularization for Graphical Models with Unequal Shrinkage. - Jack Yutong Li, Ruoqing Zhu, Annie Qu, Han Ye, Zhankun Sun:
Semi-Orthogonal Non-Negative Matrix Factorization. - Alireza Haqiqatnejad, Farbod Kayhan, Björn E. Ottersten:
Robust Design of Power Minimizing Symbol-Level Precoder under Channel Uncertainty. - Johan Thunberg, Johan Markdahl, Florian Bernard, Jorge M. Gonçalves:
Lifting method for analyzing distributed synchronization on the unit sphere. - Jason M. Klusowski:
Complete Analysis of a Random Forest Model. - Juan M. Scavuzzo, Francisco Trucco, Manuel Espinosa, Carolina B. Tauro, Marcelo Abril, Carlos M. Scavuzzo, Alejandro C. Frery:
Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning. - Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Manuel Castellanos-Beltran, Christine A. Donnelly, Michael L. Schneider, Richard P. Mirin, Sae Woo Nam:
Superconducting Optoelectronic Neurons II: Receiver Circuits. - Salman Beigi, Leila Taghavi:
Span Program for Non-binary Functions. - Xiaolin Li, Yichi Zhang, He Zhao, Craig Burkhart, L. Catherine Brinson, Wei Chen:
A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions. - Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur:
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs. - Tianheng Tsui:
A new viewpoint of the Gödel's incompleteness theorem and its applications. - Maria Jofre, Richard Gerlach:
Fighting Accounting Fraud Through Forensic Data Analytics. - Gunwoong Park:
Learning Generalized Hypergeometric Distribution (GHD) DAG models. - (Withdrawn) Joint Cell Nuclei Detection and Segmentation in Microscopy Images Using 3D Convolutional Networks.
- Andrzej Jarynowski, Piotr Nyczka:
Single parameter model of marriage divorce dynamics with countries classification. - Ben M. Tappin, Valerio Capraro:
Doing good vs. avoiding bad in prosocial choice: A refined test and extension of the morality preference hypothesis. - Mastane Achab, Stéphan Clémençon, Aurélien Garivier:
Profitable Bandits. - ChenYang Xia, Ji Chen, YouZhe Fan, Chi-Ying Tsui, Jie Jin, Hui Shen, Bin Li:
A High-Throughput Architecture of List Successive Cancellation Polar Codes Decoder with Large List Size. - Vincent Renkens, Hugo Van hamme:
Capsule Networks for Low Resource Spoken Language Understanding. - Guillaume Guégan, Kolja Knauer, Jonathan Rollin, Torsten Ueckerdt:
The interval number of a planar graph is at most three. - Helen L. Bear, Richard W. Harvey:
Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals. - Akihiro Kato, Tomi Kinnunen:
A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech. - Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Differential Equations for Modeling Asynchronous Algorithms. - Xijun Liang, Zhonghang Xia, Yongxiang Wang, Ling Jian, Xinnan Niu, Andrew J. Link:
Efficient online learning for large-scale peptide identification. - Guanyu Wang, Jiang Zhu, Zhiwei Xu:
Asymptotically Optimal One-Bit Quantizer Design for Weak-signal Detection in Generalized Gaussian Noise and Lossy Binary Communication Channel. - Fabio Zanasi:
Interacting Hopf Algebras: the theory of linear systems. - Melkior Ornik, Ufuk Topcu:
Deception in Optimal Control. - Andrea Ferraguti, Giacomo Micheli:
Complete Classification of permutation rational functions of degree three over finite fields. - Joseph D. Ramsey, Bryan Andrews:
FASK with Interventional Knowledge Recovers Edges from the Sachs Model. - Theodor Bjorkmo, M. C. David Marsh:
Local, algebraic simplifications of Gaussian random fields. - Konstantin Avrachenkov, Ilya Bogdanov:
Analysis of Relaxation Time in Random Walk with Jumps. - Claudio De Persis, Sergio Grammatico:
Continuous-time integral dynamics for monotone aggregative games with coupling constraints. - Prashanth Gurunath Shivakumar, Panayiotis G. Georgiou:
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations. - Bo Wang, Armin Pourshafeie, Marinka Zitnik, Junjie Zhu, Carlos D. Bustamante, Serafim Batzoglou, Jure Leskovec:
Network Enhancement: a general method to denoise weighted biological networks. - François Le Gall, Tomoyuki Morimae, Harumichi Nishimura, Yuki Takeuchi:
Interactive Proofs with Polynomial-Time Quantum Prover for Computing the Order of Solvable Groups. - Endre Boros, Vladimir Gurvich, Martin Milanic:
Characterizing and decomposing classes of threshold, split, and bipartite graphs via 1-Sperner hypergraphs. - Dimitrios Letsios, Ruth Misener:
Exact Lexicographic Scheduling and Approximate Rescheduling. - Niels Lubbes:
Computing basepoints of linear series in the plane. - Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes. - Peter R. Wiecha, Aurélie Lecestre, Nicolas Mallet, Guilhem Larrieu:
Pushing the limits of optical information storage using deep learning. - Steven Abel, David G. Cerdeno, Sandra Robles:
The Power of Genetic Algorithms: what remains of the pMSSM? - Philipp Hieronymi, Danny Nguyen, Igor Pak:
Presburger Arithmetic with algebraic scalar multiplications. - Amir Ali Ahmadi, Oktay Günlük:
Robust-to-Dynamics Optimization. - Danny Nguyen, Igor Pak:
On the number of integer points in translated and expanded polyhedra. - Rohitash Chandra, Danial Azam, R. Dietmar Müller, Tristan Salles, Sally Cripps:
BayesLands: A Bayesian inference approach for parameter uncertainty quantification in Badlands. - Adam Nagy, Hussain Syed Kazmi, Farah Cheaib, Johan Driesen:
Deep Reinforcement Learning for Optimal Control of Space Heating. - Niels Lubbes:
Computing curves on real rational surfaces. - Viola Folli, Giorgio Gosti, Marco Leonetti, Giancarlo Ruocco:
Effect of dilution in asymmetric recurrent neural networks. - Adam D. Cobb, Stephen J. Roberts, Yarin Gal:
Loss-Calibrated Approximate Inference in Bayesian Neural Networks. - Terry J. Lyons, Imanol Pérez Arribas:
Labelling as an unsupervised learning problem. - Alberto Barchielli, Matteo Gregoratti:
Uncertainty relations and information loss for spin-1/2 measurements. - Enrique P. Blair:
Electric-field Inputs for Molecular Quantum-dot Cellular Automata Circuits. - Claire Nédellec, Robert Bossy, Estelle Chaix, Louise Deléger:
Text-mining and ontologies: new approaches to knowledge discovery of microbial diversity. - Hamid Khodabandehlou, M. Sami Fadali:
Training Recurrent Neural Networks via Dynamical Trajectory-Based Optimization. - Wenjie Huang, William Benjamin Haskell:
Stochastic Approximation for Risk-aware Markov Decision Processes. - Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic:
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks and Measurement Noise. - Paolo Bolletta, Massimo Carboni, Gloria Vuagnin:
Field Trial of Alien Wavelengths on GARR Optical Network. - Margarita Baltakiene, Kestutis Baltakys, D. Cardamone, Federica Parisi, Tommaso Radicioni, Maddalena Torricelli, Jeroen van Lidth de Jeude, Fabio Saracco:
Maximum entropy approach to link prediction in bipartite networks. - Marcello Caleffi, Angela Sara Cacciapuoti, Giuseppe Bianchi:
Quantum Internet: from Communication to Distributed Computing! - Alexandre Bovet, Carlo Campajola, Jorge F. Lazo, Francesco Mottes, Iacopo Pozzana, Valerio Restocchi, Pietro Saggese, Nicoló Vallarano, Tiziano Squartini, Claudio J. Tessone:
Network-based indicators of Bitcoin bubbles. - Philippe Berger, George Stein:
A volumetric deep Convolutional Neural Network for simulation of dark matter halo catalogues. - Mingrui Liu, Xiaoxuan Zhang, Lijun Zhang, Rong Jin, Tianbao Yang:
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions. - Tammo Rukat, Christopher C. Holmes, Christopher Yau:
TensOrMachine: Probabilistic Boolean Tensor Decomposition. - Travis E. Gibson, Georg K. Gerber:
Robust and Scalable Models of Microbiome Dynamics. - Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. - Yun Seong Nam, Dmitri Maslov:
Low cost quantum circuits for classically intractable instances of the Hamiltonian dynamics simulation problem. - Tom Price, Sabine Hossenfelder:
Measuring Scientific Broadness. - Zeyang Wu, Qie He:
Optimal switching sequence for switched linear systems. - Kumarjit Pathak, Prabhukiran G, Jitin Kapila, Nikit Gawande:
Incremental Learning Framework Using Cloud Computing. - Brandon M. Greenwell, Bradley C. Boehmke, Andrew J. McCarthy:
A Simple and Effective Model-Based Variable Importance Measure. - Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar:
Born Again Neural Networks. - Yining Wang, Xi Chen, Yuan Zhou:
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. - Dong Eui Chang:
A Global, Continuous, and Exponentially Convergent Observer for Attitude and Gyro Bias. - Matheus Capela, Mikel Sanz, Enrique Solano, Lucas C. Céleri:
Kolmogorov-Sinai entropy and dissipation in driven classical Hamiltonian systems. - Thang Doan, Bogdan Mazoure, Clare Lyle:
GAN Q-learning. - Ranjini Swaminathan, Mohan Sridharan, Katharine Hayhoe:
A Computational Framework for Modelling and Analyzing Ice Storms. - Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis:
Extendable Neural Matrix Completion. - Masoud Ataei, Shengyuan Chen, Xiaogang Wang:
Lehmer Transform and its Theoretical Properties. - Anthony Tompkins, Fabio Ramos:
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels. - Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah:
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. - Sarah Itani, Fabian Lecron, Philippe Fortemps:
A One-Class Decision Tree Based on Kernel Density Estimation. - Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz:
KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints. - Yan Zuo, Gil Avraham, Tom Drummond:
Generative Adversarial Forests for Better Conditioned Adversarial Learning. - Wenjie Huang:
Randomized Smoothing SVRG for Large-scale Nonsmooth Convex Optimization. - Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon, Davide Venturelli, Alireza Marandi, Tatsuhiro Onodera, Edwin Ng, Carsten Langrock, Kensuke Inaba, Toshimori Honjo, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Shoko Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi, Robert L. Byer, Martin M. Fejer, Hideo Mabuchi, Eleanor Gilbert Rieffel, Hiroki Takesue, Yoshihisa Yamamoto:
Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs. D-Wave 2000Q. - Sourav Mondal, Nilanjan De, Anita Pal:
On Neighbourhood Zagreb index of product graphs. - Axel Dahlberg, Stephanie Wehner:
Transforming graph states using single-qubit operations. - Axel Dahlberg, Jonas Helsen, Stephanie Wehner:
How to transform graph states using single-qubit operations: computational complexity and algorithms. - Jesse Geneson:
Forbidden formations in 0-1 matrices. - Jeremias Knoblauch, Theodoros Damoulas:
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection. - Huiwen Wang, Shan Lu, Jichang Zhao:
Aggregating multiple types of complex data in stock market prediction: A model-independent framework. - Vincent Moens:
The Hierarchical Adaptive Forgetting Variational Filter. - Tony Johansson:
The cover time of a biased random walk on a random regular graph of odd degree. - Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. - Oleksii Abramenko, Alexander Jung:
Graph Signal Sampling via Reinforcement Learning. - Vahid Maleki Raee, Diala Naboulsi, Roch H. Glitho:
Energy Efficient Task Assignment in Virtualized Wireless Sensor Networks. - Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová:
On the glassy nature of the hard phase in inference problems. - Yulin Yang, Guoquan Huang:
Observability Analysis of Aided INS with Heterogeneous Features of Points, Lines and Planes. - Mee Seong Im, Venkat R. Dasari:
Optimization and synchronization of programmable quantum communication channels. - Man Chu, Hang Li, Xuewen Liao, Shuguang Cui:
Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems. - Fabrizio Genovese, Jelle Herold:
Executions in (Semi-)Integer Petri Nets are Compact Closed Categories. 127-144 - Igor Halperin, Ilya Feldshteyn:
Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy. - Alice Joffard, Hamamache Kheddouci:
Labeled Packing of Cycles and Circuits. - Louis Warren, Hannes Diener, Maarten McKubre-Jordens:
The Drinker Paradox and its Dual. - Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon:
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models. - Shiyu Zhou, Linhao Dong, Shuang Xu, Bo Xu:
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese. - Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet:
Structured nonlinear variable selection. - Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. - Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. - Hamdan Awan, Raviraj S. Adve, Nigel Wallbridge, Carrol Plummer, Andrew W. Eckford:
Characterizing Information Propagation in Plants. - Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell:
Progress & Compress: A scalable framework for continual learning. - Ken Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara:
Neural Multi-scale Image Compression. - Firas A. Khasawneh, Elizabeth Munch:
Topological Data Analysis for True Step Detection in Piecewise Constant Signals. - Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John D. Lafferty:
Prediction Rule Reshaping. - Ira Shavitt, Eran Segal:
Regularization Learning Networks. - Linan Zhang, Hayden Schaeffer:
On the Convergence of the SINDy Algorithm. - Dirk Elbeshausen, Jay Melosh:
A nonlinear and time-dependent visco-elasto-plastic rheology model for studying shock-physics phenomena. - Randall Balestriero, Richard G. Baraniuk:
A Spline Theory of Deep Networks (Extended Version). - Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li:
Covariance-Insured Screening. - Rui Wang, Olivier Renaudin, Celalettin Umit Bas, Seun Sangodoyin, Andreas F. Molisch:
Antenna Switching Sequence Design for Channel Sounding in a Fast Time-varying Channel. - Togzhan Abzhanova, Irina Dolzhikova, Alex Pappachen James:
Implementation of True Random Number Generator based on Double-Scroll Attractor circuit with GST memristor emulator. - Nazerke Kulmukhanova, Irina Dolzhikova:
Analysis of Noise in Current Mirrors with memristive Device. - Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum:
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures. - Amanzhol Daribay, Irina Dolzhikova:
Widlar Current Mirror Design Using BJT-Memristor Circuits. - William Benjamin Haskell, Wenjie Huang, Huifu Xu:
Preference Elicitation and Robust Optimization with Multi-Attribute Quasi-Concave Choice Functions. - Yazhou Yang, Marco Loog:
Single Shot Active Learning using Pseudo Annotators. - Geoffrey Exoo, Jan Goedgebeur:
Bounds for the smallest k-chromatic graphs of given girth. - Ashish Ranjan Hota, Ashish Cherukuri, John Lygeros:
Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets. - Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang:
Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks. - Xin Sun, Quanlong Wang, Piotr Kulicki, Xishun Zhao:
Quantum-enhanced Logic-based Blockchain I: Quantum Honest-success Byzantine Agreement and Qulogicoin. - Auke Bart Booij:
Property and structure in constructive analysis. - Yixin Wang, David M. Blei:
The Blessings of Multiple Causes. - Xin Bing, Florentina Bunea, Marten H. Wegkamp:
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics. - Matthew Amy:
Towards Large-scale Functional Verification of Universal Quantum Circuits. 1-21 - Gesualdo Scutari, Ying Sun:
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization. - Ferdinando Patat:
Peer-review under review - A statistical study on proposal ranking at ESO. Part I: the pre-meeting phase. - Yan V. Fyodorov:
A spin glass model for reconstructing nonlinearly encrypted signals corrupted by noise. - Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai:
Spectral feature scaling method for supervised dimensionality reduction. - Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark:
Bayesian Joint Spike-and-Slab Graphical Lasso. - Shane T. Barratt, Rishi Sharma:
Optimizing for Generalization in Machine Learning with Cross-Validation Gradients. - Yuta Sakurai, Yutaka Hori:
Bounding Transient Moments of Stochastic Chemical Reactions. - Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Change Point Methods on a Sequence of Graphs. - Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition. - Ingmar Schuster, Ilja Klebanov:
Markov Chain Importance Sampling - a highly efficient estimator for MCMC. - Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer:
Approximate Bayesian inference in spatial environments. - George Papamakarios, David C. Sterratt, Iain Murray:
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. - James O'Neill:
Siamese Capsule Networks. - Leon Chlon, Andrew H. Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba E. Ba, Michael J. Prerau:
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference. - Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen J. Wright:
Blended Conditional Gradients: the unconditioning of conditional gradients. - Akiyoshi Sannai:
Reconstruction of training samples from loss functions. - Cesar Rommel Salas:
The impact of binaural white noise with oscillations of 100 to 750hz in the short-term visual working memory and the reactivity of alpha and beta cerebral waves. - Stijn de Waele:
Accurate Kernel Learning for Linear Gaussian Markov Processes using a Scalable Likelihood Computation. - Joshua Garland:
Prediction in Projection: A new paradigm in delay-coordinate reconstruction. - Arash Khodadadi, Daniel J. McDonald:
Modeling trend in temperature volatility using generalized LASSO. - Jacopo Bindi, Davide Colombi, Flavio Iannelli, Nicola Politi, Michele Sugarelli, Raffaele Tavarone, Enrico Ubaldi:
Political Discussion and Leanings on Twitter: the 2016 Italian Constitutional Referendum. - Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Collaborate for User-Controlled Privacy. - Sebastian Claici, Justin Solomon:
Wasserstein Coresets for Lipschitz Costs. - Benjamin Guedj, Le Li:
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. - Matej Konecný:
Combinatorial Properties of Metrically Homogeneous Graphs. - Chai Wah Wu:
Designing communication systems via iterative improvement: error correction coding with Bayes decoder and codebook optimized for source symbol error. - Rogério Galante Negri, Alejandro C. Frery, Wagner B. Silva, Tatiana Sussel Gonçalves Mendes, Luciano Vieira Dutra:
Region-Based Classification of PolSAR Data Using Radial Basis Kernel Functions With Stochastic Distances. - Arash Vahdat, Evgeny Andriyash, William G. Macready:
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. - Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu:
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks. - Song Liu, Wittawat Jitkrittum, Carl Henrik Ek:
Model Inference with Stein Density Ratio Estimation. - Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt:
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. - Cristian Guarnizo, Mauricio A. Álvarez:
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. - Lin Chen, Mingrui Zhang, Amin Karbasi:
Projection-Free Bandit Convex Optimization. - Alexandre Noll Marques, Rémi R. Lam, Karen E. Willcox:
Contour location via entropy reduction leveraging multiple information sources. - Takeru Matsuda, Aapo Hyvärinen:
Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. - Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata:
Integral representation of the global minimizer. - Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Conditional Network Embeddings. - Kishore Thapliyal:
A theoretical study of nonclassical effects in optical and spin systems and their applications. - Scott H. Lee, Drew Levin, Patrick D. Finley, Charles M. Heilig:
Chief complaint classification with recurrent neural networks. - Muhammad Naveed Tabassum, Esa Ollila:
Sequential adaptive elastic net approach for single-snapshot source localization. - Boris Muzellec, Marco Cuturi:
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. - Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noé:
Deep Generative Markov State Models. - Guillem Collell, Marie-Francine Moens:
Do Neural Network Cross-Modal Mappings Really Bridge Modalities? - Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Heterogeneous Multi-output Gaussian Process Prediction. - Shujaat Khan, Imran Naseem, Alishba Sadiq, Jawwad Ahmad, Muhammad Moinuddin:
Comments on "Momentum fractional LMS for power signal parameter estimation". - Melih Kandemir, Manuel Haußmann, Fred A. Hamprecht:
Sampling-Free Variational Inference of Bayesian Neural Nets. - Chang Xiao, Peilin Zhong, Changxi Zheng:
BourGAN: Generative Networks with Metric Embeddings. - Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li-Ju Wang, Yufei Huang, Yidong Chen:
Predicting drug response of tumors from integrated genomic profiles by deep neural networks. - Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius:
Human-guided data exploration using randomisation. - Ga Wu, Justin Domke, Scott Sanner:
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding. - Hippolyt Ritter, Aleksandar Botev, David Barber:
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting. - Hicham Janati, Marco Cuturi, Alexandre Gramfort:
Wasserstein regularization for sparse multi-task regression. - Jonathan Klawitter, Simone Linz:
On the Subnet Prune and Regraft Distance. - Yan Li, Chao Qu, Huan Xu:
Communication-Efficient Projection-Free Algorithm for Distributed Optimization. - Yan Li, Chao Qu, Huan Xu:
Projection-Free Algorithms in Statistical Estimation. - Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak:
Kernel Pre-Training in Feature Space via m-Kernels. - John Clemens:
Learning Device Models with Recurrent Neural Networks. - Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen:
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization. - Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh:
How Many Samples are Needed to Learn a Convolutional Neural Network? - Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama:
Frank-Wolfe Stein Sampling. - Mahito Sugiyama, Koji Tsuda, Hiroyuki Nakahara:
Transductive Boltzmann Machines. - (Withdrawn) Stochastic Gradient Descent for Stochastic Doubly-Nonconvex Composite Optimization.
- Aritra Dutta, Filip Hanzely, Peter Richtárik:
A Nonconvex Projection Method for Robust PCA. - Daniel Zügner, Amir Akbarnejad, Stephan Günnemann:
Adversarial Attacks on Neural Networks for Graph Data. - Eldad Haber, Felix Lucka, Lars Ruthotto:
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation. - Marco Molinaro, Nicola F. Calabria, Robert Butora, Sonia Zorba, Riccardo Smareglia:
Italian center for Astronomical Archives publishing solution: modular and distributed. - Alexander P. Keil:
Super learning in the SAS system. - Meng Ji, Xueliang Li, Xiaoyu Zhu:
Conflict-free connections: algorithm and complexity. - Saurabh Verma, Zhi-Li Zhang:
Graph Capsule Convolutional Neural Networks. - Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang:
Non-Oscillatory Pattern Learning for Non-Stationary Signals. - Xiaoyu Li, Francesco Orabona:
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes. - Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
A General Family of Robust Stochastic Operators for Reinforcement Learning. - Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Körding:
The Roles of Supervised Machine Learning in Systems Neuroscience. - Jing An, Jianfeng Lu, Lexing Ying:
Stochastic modified equations for the asynchronous stochastic gradient descent. - Soufiane Hayou, Arnaud Doucet, Judith Rousseau:
On the Selection of Initialization and Activation Function for Deep Neural Networks. - Rajesh Ranganath, Adler J. Perotte:
Multiple Causal Inference with Latent Confounding. - Jeff Calder, Charles K. Smart:
The limit shape of convex hull peeling. - Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf, Aapo Hyvärinen:
Deep Energy Estimator Networks. - Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena:
Self-Attention Generative Adversarial Networks. - Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar:
Robust Gradient Descent via Moment Encoding with LDPC Codes. - Théo Lacombe, Marco Cuturi, Steve Oudot:
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport. - Tong Qin, Ling Zhou, Dongbin Xiu:
Reducing Parameter Space for Neural Network Training. - Shouvik Ganguly, Jongha Ryu, Young-Han Kim, Yung-Kyun Noh, Daniel D. Lee:
Nearest neighbor density functional estimation based on inverse Laplace transform. - Oliver Hinder:
Cutting plane methods can be extended into nonconvex optimization. - Yifan Chen, Wuchen Li:
Natural gradient in Wasserstein statistical manifold. - Kenjiro Takazawa:
M-convexity of the minimum-cost packings of arborescences. - Iasson Karafyllis, Miroslav Krstic, Katerina Chrysafi:
Adaptive Boundary Control of Constant-Parameter Reaction-Diffusion PDEs Using Regulation-Triggered Finite-Time Identification. - Dintomon Joy, M. Sabir:
Efficient schemes for the quantum teleportation of a sub-class of tripartite entangled states. - James Paulin, Anisoara Calinescu, Michael J. Wooldridge:
Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach. - Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron, Tim C. D. Lucas, Seth R. Flaxman, Katherine Battle, Kenji Fukumizu:
Variational Learning on Aggregate Outputs with Gaussian Processes. - Vijay Anavangot, Animesh Kumar:
On Distributed Nonlinear Signal Analytics : Bandwidth and Approximation Error Tradeoffs. - Guillermo Valle Pérez, Chico Q. Camargo, Ard A. Louis:
Deep learning generalizes because the parameter-function map is biased towards simple functions. - Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. - Scott Aaronson:
PDQP/qpoly = ALL. - Stefano Teso, Kristian Kersting:
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users. - Mark McLeod, Michael A. Osborne, Stephen J. Roberts:
Optimization, fast and slow: optimally switching between local and Bayesian optimization. - Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh:
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. - Prashant Singh, Andreas Hellander:
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits. - Aapo Hyvärinen, Hiroaki Sasaki, Richard E. Turner:
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. - Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni:
Universal discriminative quantum neural networks. - Ziming Zhang:
LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks. - Steven Atkinson, Nicholas Zabaras:
Structured Bayesian Gaussian process latent variable model. - Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant:
Adding One Neuron Can Eliminate All Bad Local Minima. - Binyan Lin, Fei Gao, Meng Wang, Yuyao Xiong, Ansheng Li:
A Parameter Estimation of Fractional Order Grey Model Based on Adaptive Dynamic Cat Swarm Algorithm. - Mingyuan Zhou:
Parsimonious Bayesian deep networks. - Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
Efficient Stochastic Gradient Descent for Distributionally Robust Learning. - Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann:
Adversarially Robust Training through Structured Gradient Regularization. - Carla Sciarra, Guido Chiarotti, Francesco Laio, Luca Ridolfi:
A change of perspective in network centrality. - Vasileios Charisopoulos, Petros Maragos:
A Tropical Approach to Neural Networks with Piecewise Linear Activations. - Vaibhav Katewa, Fabio Pasqualetti:
Minimum-gain Pole Placement with Sparse Static Feedback. - Reza Mosayebi, Arman Ahmadzadeh, Wayan Wicke, Vahid Jamali, Robert Schober, Masoumeh Nasiri-Kenari:
Early Cancer Detection in Blood Vessels Using Mobile Nanosensors. - Ziming Zhang, Rongmei Lin, Alan Sullivan:
Deformable Part Networks. - Lukas Mosser, Wouter Kimman, Jesper Sören Dramsch, Steve Purves, Alfredo De la Fuente, Graham Ganssle:
Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks. - Meghana Dinesh Kumar, Morteza Babaie, Hamid R. Tizhoosh:
Deep Barcodes for Fast Retrieval of Histopathology Scans. - Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos:
Nonparametric Density Estimation under Adversarial Losses. - Iordanis Kerenidis, Alessandro Luongo:
Quantum classification of the MNIST dataset via Slow Feature Analysis. - Krikamol Muandet, Motonobu Kanagawa, Sorawit Saengkyongam, Sanparith Marukatat:
Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference. - Adrish Banerjee, Akash Dubey, Abhishek Menon, Shubham Nanda, Gora Chand Nandi:
Speaker Recognition using Deep Belief Networks. - Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon:
Amortized Inference Regularization. - Arash Mehrjou, Mehran Khodabandeh, Greg Mori:
Distribution Aware Active Learning. - Fang Liu, Zizhan Zheng, Ness B. Shroff:
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs. - Kwangjun Ahn, Kangwook Lee, Changho Suh:
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model. - Lan Sizhong:
On the Relation of Impulse Propagation to Synaptic Strength. - Manuel Kauers, Doron Zeilberger:
A Simple Re-Derivation of Onsager's Solution of the 2D Ising Model using Experimental Mathematics. - Cyril Banderier, Michael Wallner:
Local time for lattice paths and the associated limit laws. - Gui-Yuan Shi, Yi-Xiu Kong, Bolun Chen, Guang-Hui Yuan, Rui-Jie Wu, Yi-Cheng Zhang:
Unequal Sized Stable Marriage Problem. - Stephan Rasp, Sebastian Lerch:
Neural networks for post-processing ensemble weather forecasts. - Luciano Melodia:
Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics. - Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Optimal Transport for structured data. - Anton Mallasto, Søren Hauberg, Aasa Feragen:
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. - Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. - Bhusan Chettri, Saumitra Mishra, Bob L. Sturm, Emmanouil Benetos:
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing. - Pierre Gaillard, Olivier Wintenberger:
Efficient online algorithms for fast-rate regret bounds under sparsity. - Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued:
Semi-supervised learning: When and why it works. - Noé Tits, Kevin El Haddad, Thierry Dutoit:
ASR-based Features for Emotion Recognition: A Transfer Learning Approach. - Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom:
Pushing the bounds of dropout. - Jiang-Tao Yuan, Cai-Hong Wang, Ying-Hui Yang, Shi-Jiao Geng:
Construnctions of LOCC indistinguishable set of generalized Bell states. - Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
Monte Carlo Tree Search for Asymmetric Trees. - Ron Shoham, Haim H. Permuter:
Highway State Gating for Recurrent Highway Networks: improving information flow through time. - Eric Samperton:
Computational Complexity of Enumerative 3-Manifold Invariants. - Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann:
Variational Inference for Data-Efficient Model Learning in POMDPs. - Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, Jakob H. Macke:
Likelihood-free inference with emulator networks. - Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
End-to-End Speech-Driven Facial Animation with Temporal GANs. - Michael P. Evans, Simon H. Tindemans, David Angeli:
A Graphical Measure of Aggregate Flexibility for Energy-Constrained Distributed Resources. - Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Communication Algorithms via Deep Learning. - Gal Cohensius, Urban Larsson, Reshef Meir, David Wahlstedt:
Cumulative subtraction games. - Marcel Hirt, Petros Dellaportas:
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers. - Tiago Pimentel, Marianne Monteiro, Juliano Viana, Adriano Veloso, Nivio Ziviani:
A Generalized Active Learning Approach for Unsupervised Anomaly Detection. - Timo Kötzing, Martin S. Krejca:
First-Hitting Times Under Additive Drift. - Maciej Bendkowski, Olivier Bodini, Sergey Dovgal:
Statistical properties of lambda terms. - Samara Burns, Richard Zach:
Relational Hypersequents for Modal Logics. - Richard Zach:
Non-Analytic Tableaux for Chellas's Conditional Logic CK and Lewis's Logic of Counterfactuals VC. - Matthew M. Dunlop, Dejan Slepcev, Andrew M. Stuart, Matthew Thorpe:
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms. - Yotam Hechtlinger, Barnabás Póczos, Larry A. Wasserman:
Cautious Deep Learning. - Ridho Rahmadi, Perry Groot, Tom Heskes:
Stable specification search in structural equation model with latent variables. - Lenaïc Chizat, Francis R. Bach:
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport. - Ricardo Pio Monti, Aapo Hyvärinen:
A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. - Mevlana Gemici, Zeynep Akata, Max Welling:
Primal-Dual Wasserstein GAN. - Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
A0C: Alpha Zero in Continuous Action Space. - Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of Deep Neural Networks. - Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. - Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort:
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. - Daniele Mirabilii, Emanuël A. P. Habets:
Simulating Multi-channel Wind Noise Based on Corcos Model. - Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick:
Been There, Done That: Meta-Learning with Episodic Recall. - Nicolas Berkouk, Grégory Ginot:
A derived isometry theorem for constructible sheaves on 𝑹. - Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. - Sebastian Farquhar, Yarin Gal:
Towards Robust Evaluations of Continual Learning. - Sebastian U. Stich:
Local SGD Converges Fast and Communicates Little. - Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla:
Log Gaussian Cox Process Networks. - Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan:
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. - Dong Xia:
Confidence interval of singular vectors for high-dimensional and low-rank matrix regression. - Germán Abrevaya, Aleksandr Y. Aravkin, Guillermo A. Cecchi, Irina Rish, Pablo Polosecki, Peng Zheng, Silvina Ponce Dawson:
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM. - Bernat Guillen Pegueroles, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, Steve Hedden, Jonathan D. Moyer, Kush R. Varshney:
Structure Learning from Time Series with False Discovery Control. - Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, Kush R. Varshney:
Fairness GAN. - Romain Warlop, Jérémie Mary, Mike Gartrell:
Basket Completion with Multi-task Determinantal Point Processes. - Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner:
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. - Hong-Chuan Yang, Mohamed-Slim Alouini:
Wireless Transmission of Big Data: Data-Oriented Performance Limits and Their Applications. - Tyler W. Hughes, Momchil Minkov, Yu Shi, Shanhui Fan:
Training of photonic neural networks through in situ backpropagation. - Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody:
Topological Data Analysis of Decision Boundaries with Application to Model Selection. - Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang, Akshay Krishnamurthy, Jeff Schneider, Barnabás Póczos:
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming. - Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin:
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. - Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian:
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. - Shitong Wei, Oscar Hernan Madrid Padilla, James Sharpnack:
Distributed Cartesian Power Graph Segmentation for Graphon Estimation. - Andrea Insabato, John P. Cunningham, Matthieu Gilson:
Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity. - Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis R. Bach:
EM algorithms for ICA. - Thomas Vasileiou:
Model-based Resonance Tracking of Linear Systems. - Stefan Ehard, Dieter Rautenbach:
On some tractable and hard instances for partial incentives and target set selection. - Yue Yu, Longbo Huang:
A New Analysis of Variance Reduced Stochastic Proximal Methods for Composite Optimization with Serial and Asynchronous Realizations. - Stefan Klus, Sebastian Peitz, Ingmar Schuster:
Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions. - Shifeng Xiong:
Function Estimation via Reconstruction. - Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh:
Linear read-once and related Boolean functions. - Kumarjit Pathak, Jitin Kapila, Aasheesh Barvey:
Futuristic Classification with Dynamic Reference Frame Strategy. - Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu:
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. - Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues, Kyu-Tae Lee, Wenshan Cai:
A Generative Model for Inverse Design of Metamaterials. - James T. Wilson, Frank Hutter, Marc Peter Deisenroth:
Maximizing acquisition functions for Bayesian optimization. - Sébastien Bubeck, Eric Price, Ilya P. Razenshteyn:
Adversarial examples from computational constraints. - Anthony Hu, Seth R. Flaxman:
Multimodal Sentiment Analysis To Explore the Structure of Emotions. - Paul Smith, Jochen Voss, Elena Issoglio:
On the Estimation of Entropy in the FastICA Algorithm. - Anil Goyal, Emilie Morvant, Massih-Reza Amini:
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. - Blake E. Woodworth, Jialei Wang, Brendan McMahan, Nathan Srebro:
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization. - Swamit S. Tannu, Moinuddin K. Qureshi:
A Case for Variability-Aware Policies for NISQ-Era Quantum Computers. - Arkadiy Skopenkov:
Invariants of graph drawings in the plane. - Sandro Ackermann, Kevin Schawinski, Ce Zhang, Anna K. Weigel, M. Dennis Turp:
Using transfer learning to detect galaxy mergers. - Tanmay Gangwani, Qiang Liu, Jian Peng:
Learning Self-Imitating Diverse Policies. - Isabel Valera, Adish Singla, Manuel Gomez Rodriguez:
Enhancing the Accuracy and Fairness of Human Decision Making. - Nico Gößling, Simon Doclo:
Relative Transfer Function Estimation Exploiting Spatially Separated Microphones in an Incoherent Noise Field. - Reza Lotfian, Carlos Busso:
Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels. - (Withdrawn) An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm.
- Jialin Li, Furong Huang:
Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares. - Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang:
Tensorized Spectrum Preserving Compression for Neural Networks. - Ali Molaei, Chang Liu, Samuel M. Felton, José Ángel Martínez Lorenzo:
Origami Inspired Reconfigurable Antenna for Wireless Communication Systems. - Zachary Charles, Dimitris S. Papailiopoulos:
Gradient Coding via the Stochastic Block Model. - Dan Nguyen, Xun Jia, David J. Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, Steve B. Jiang:
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. - Abdessamad Belfakir, Yassine Hassouni:
Nilpotent Morse algebra and time evolution of certain associated coherent states. - Xiran Zhou, Wenwen Li, Samantha T. Arundel, Jun Liu:
Deep Convolutional Neural Networks for Map-Type Classification. - Simon S. Du, Yining Wang, Sivaraman Balakrishnan, Pradeep Ravikumar, Aarti Singh:
Robust Nonparametric Regression under Huber's ε-contamination Model. - Daniel J. Katz:
Weil sums of binomials: properties and applications. - Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood:
Revisiting Reweighted Wake-Sleep. - Yosuke Enokida, Atsushi Suzuki, Kenji Yamanishi:
Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings. - Mirco Ravanelli, Maurizio Omologo:
Automatic context window composition for distant speech recognition. - Ning Sun, Jinmin Yi, Pengfei Zhang, Huitao Shen, Hui Zhai:
Deep Learning for Topological Invariants. - Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone:
Calibrating Deep Convolutional Gaussian Processes. - Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk:
Unsupervised Learning with Stein's Unbiased Risk Estimator. - Naman Agarwal, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan:
cpSGD: Communication-efficient and differentially-private distributed SGD. - Sen Zhao, Mahdi Milani Fard, Maya R. Gupta:
Metric-Optimized Example Weights. - Sharmodeep Bhattacharyya, Shirshendu Chatterjee:
Spectral Clustering for Multiple Sparse Networks: I. - Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. - Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe, Bernhard Schölkopf:
A Local Information Criterion for Dynamical Systems. - Amy Glen, Jamie Simpson, W. F. Smyth:
Palindromes in starlike trees. - Gokula Krishnan Santhanam, Paulina Grnarova:
Defending Against Adversarial Attacks by Leveraging an Entire GAN. - Svante Janson, Subhabrata Sen, Joel Spencer:
Preferential Attachment When Stable. - Valentina Caprara Vivoli, Jérémy Ribeiro, Stephanie Wehner:
High fidelity GHZ generation within nearby nodes. - Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Ming Zhou, Klaus Neymeyr, Thomas Hofmann:
Towards a Theoretical Understanding of Batch Normalization. - Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. - Tae Jin Park, Panayiotis G. Georgiou:
Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks. - William Lotter, Gabriel Kreiman, David D. Cox:
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception. - Shohei Hidaka, Neeraj Kashyap:
Clustering by latent dimensions. - Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi:
Sigsoftmax: Reanalysis of the Softmax Bottleneck. - Gonzalo Rios, Julio D. Backhoff Veraguas, Joaquín Fontbona, Felipe A. Tobar:
Bayesian Learning with Wasserstein Barycenters. - Philip Schulz, Wilker Aziz, Trevor Cohn:
A Stochastic Decoder for Neural Machine Translation. - Shabab Bazrafkan, Peter Corcoran:
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN). - Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. - Peter Keevash, Liana Yepremyan:
On the number of symbols that forces a transversal. - Kumarjit Pathak, Jitin Kapila, Aasheesh Barvey:
Personalized Influence Estimation Technique. - Laurence Aitchison, Vincent Adam, Srinivas C. Turaga:
Discrete flow posteriors for variational inference in discrete dynamical systems. - Kevin Scaman, Aladin Virmaux:
Lipschitz regularity of deep neural networks: analysis and efficient estimation. - John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Predicting Electron Paths. - Pierre Laforgue, Stéphan Clémençon, Florence d'Alché-Buc:
Autoencoding any Data through Kernel Autoencoders. - Eszter Vértes, Maneesh Sahani:
Flexible and accurate inference and learning for deep generative models. - Vaibhav Mohanty:
Dodecatonic Cycles and Parsimonious Voice-Leading in the Mystic-Wozzeck Genus. - Daan Wynen, Cordelia Schmid, Julien Mairal:
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. - Mingzhang Yin, Mingyuan Zhou:
Semi-Implicit Variational Inference. - Alexander Elchesen, Facundo Mémoli:
The reflection distance between zigzag persistence modules. - David Gamarnik:
Explicit construction of RIP matrices is Ramsey-hard. - Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada, Yoshiyuki Kabashima:
Statistical mechanical analysis of sparse linear regression as a variable selection problem. - Wei-Ning Hsu, James R. Glass:
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data. - Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris:
Wasserstein Variational Inference. - Yue-Gang Song, Yu-Long Zhou, Ren-Jie Han:
Neural networks for stock price prediction. - Tim Pearce, Nicolas Anastassacos, Mohamed Zaki, Andy Neely:
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. - Hendrik Richter:
Properties of interaction networks, structure coefficients, and benefit-to-cost ratios. - Manuel Pulido, Peter Jan van Leeuwen:
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter. - Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz:
Uniform regret bounds over Rd for the sequential linear regression problem with the square loss. - Xavier Pennec:
Parallel Transport with Pole Ladder: a Third Order Scheme in Affine Connection Spaces which is Exact in Affine Symmetric Spaces. - Takashi Sano:
An Analytic Solution to the Inverse Ising Problem in the Tree-reweighted Approximation. - Shi Pu, Angelia Nedic:
Distributed Stochastic Gradient Tracking Methods. - Pablo J. Blanco, Carlos A. Bulant, Lucas O. Müller, Gonzalo D. Maso Talou, Cristiano Guedes Bezerra, Pedro L. Lemos, Raúl A. Feijóo:
Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve. - Christian Donner, Manfred Opper:
Efficient Bayesian Inference for a Gaussian Process Density Model. - M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat:
aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution. - Felipe Montes, Roberto C. Jimenez, Jukka-Pekka Onnela:
Connected but Segregated: Social Networks in Rural Villages. - Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel A. J. van Gerven:
Forward Amortized Inference for Likelihood-Free Variational Marginalization. - Michael Arbel, Danica J. Sutherland, Mikolaj Binkowski, Arthur Gretton:
On gradient regularizers for MMD GANs. - Isaac Lage, Andrew Slavin Ross, Been Kim, Samuel J. Gershman, Finale Doshi-Velez:
Human-in-the-Loop Interpretability Prior. - Yaniv Romano, Michael Elad:
Classification Stability for Sparse-Modeled Signals. - Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry:
How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift). - Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. - Michael Boshernitzan, Yaar Solomon:
On Visibility Problems with an Infinite Discrete, set of Obstacles. - George Sterpu, Christian Saam, Naomi Harte:
Can DNNs Learn to Lipread Full Sentences? - Lipeng Ning:
Regularization of covariance matrices on Riemannian manifolds using linear systems. - Türkü Özlüm Çelik, Avinash Kulkarni, Yue Ren, Mahsa Sayyary Namin:
Tritangents and Their Space Sextics. - Arna Ghosh, Fabien Dal Maso, Marc Roig, Georgios D. Mitsis, Marie-Hélène Boudrias:
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis. - Kuan Liu, Yanen Li, Ning Xu, Prem Natarajan:
Learn to Combine Modalities in Multimodal Deep Learning. - Sven Schmit, Virag Shah, Ramesh Johari:
Optimal Testing in the Experiment-rich Regime. - Guocong Song, Wei Chai:
Collaborative Learning for Deep Neural Networks. - Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse:
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications. - Heinrich Jiang, Been Kim, Maya R. Gupta:
To Trust Or Not To Trust A Classifier. - Jonathan Scarlett:
Tight Regret Bounds for Bayesian Optimization in One Dimension. - Hock Peng Chan, Shouri Hu:
Infinite Arms Bandit: Optimality via Confidence Bounds. - Vimalesh Kumar Vimal, V. Subrahmanyam:
Quantum correlations and entanglement in a Kitaev-type spin chain. - Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Zeroth-order Optimization via Variance Reduction method. - Tom Lefebvre, Frederik De Belie, Guillaume Crevecoeur:
A Radial Basis Function based Optimization Algorithm with Regular Simplex set geometry in Ellipsoidal Trust-Regions. - Shi Dong, Benjamin Van Roy:
An Information-Theoretic Analysis of Thompson Sampling for Large Action Spaces. - Xuewei Zhang, Tiejun Lv, Wei Ni, John M. Cioffi, Norman C. Beaulieu, Y. Jay Guo:
Energy-Efficient Caching for Scalable Videos in Heterogeneous Networks. - Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto:
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance. - Zhenyu Liao, Romain Couillet:
On the Spectrum of Random Features Maps of High Dimensional Data. - Zhenyu Liao, Romain Couillet:
The Dynamics of Learning: A Random Matrix Approach. - Peter Bastian, Eike Hermann Müller, Steffen Müthing, Marian Piatkowski:
Matrix-free multigrid block-preconditioners for higher order Discontinuous Galerkin discretisations. - Hao Wang, Ruibin Feng, Chi-Sing Leung:
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework. - Yu-Long Zhou, Ren-Jie Han, Qian Xu, Wei-Ke Zhang:
Long Short-Term Memory Networks for CSI300 Volatility Prediction with Baidu Search Volume. - Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu, Jinliang He:
Short-term Load Forecasting with Deep Residual Networks. - Nicola De Cao, Thomas Kipf:
MolGAN: An implicit generative model for small molecular graphs. - Xin Sun, Quanlong Wang, Piotr Kulicki:
A Simple Voting Protocol on Quantum Blockchain. - Irene Y. Chen, Fredrik D. Johansson, David A. Sontag:
Why Is My Classifier Discriminatory? - Giacomo Nannicini:
Performance of hybrid quantum/classical variational heuristics for combinatorial optimization. - Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar:
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. - Irina Georgescu:
The effect of prudence on the optimal allocation in possibilistic and mixed models. - Zhengyang Dong:
Dynamic Advisor-Based Ensemble (dynABE): Case Study in Stock Trend Prediction of a Major Critical Metal Producer. - Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. - Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry:
There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits). - Joseph F. Fitzsimons, Zhengfeng Ji, Thomas Vidick, Henry Yuen:
Quantum proof systems for iterated exponential time, and beyond. - Masaaki Harada:
New quantum codes constructed from some self-dual additive 𝑭4-codes. - Johann Brehmer, Gilles Louppe, Juan Pavez, Kyle Cranmer:
Mining gold from implicit models to improve likelihood-free inference. - Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M. Braga-Neto, Edward R. Dougherty:
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. - Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar:
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. - Benjamin Chidester, Minh N. Do, Jian Ma:
Rotation Equivariance and Invariance in Convolutional Neural Networks. - Yunlong Liu, L. Mario Amzel:
Conformation Clustering of Long MD Protein Dynamics with an Adversarial Autoencoder. - Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara:
Metric on Nonlinear Dynamical Systems with Koopman Operators. - Akifumi Okuno, Hidetoshi Shimodaira:
On representation power of neural network-based graph embedding and beyond. - Laura C. Carpi, Tiago A. Schieber, Panayote M. Pardalos, Gemma Marfany, Cristina Masoller, Albert Díaz-Guilera, Martín Gómez Ravetti:
Assessing diversity in multiplex networks. - Daigo Shoji, Rina Noguchi, Shizuka Otsuki, Hideitsu Hino:
Classification of volcanic ash particles using a convolutional neural network and probability. - Enzo Marinari:
Forgetting Memories and their Attractiveness. - Davide Bacciu, Daniele Castellana:
Learning Tree Distributions by Hidden Markov Models. - Thomas Häner, Martin Roetteler, Krysta M. Svore:
Optimizing Quantum Circuits for Arithmetic. - Giacomo De Palma:
New lower bounds to the output entropy of multi-mode quantum Gaussian channels. - Uri Hadar, Ofer Shayevitz:
Distributed Estimation of Gaussian Correlations. - Shilun Zhang, Matús Medo, Linyuan Lü, Manuel Sebastian Mariani:
The long-term impact of ranking algorithms in growing networks. - Shaohan Chen, Chuanhou Gao:
Asymptotic performance of regularized multi-task learning. - Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. - Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, Mu-Han Lin, Raquibul Hannan, Amir Owrangi, Steve B. Jiang:
Fully Automated Organ Segmentation in Male Pelvic CT Images. - Ekaterina Yurova Axelsson, Andrei Yu. Khrennikov:
Groups of automorphisms of p-adic integers and the problem of the existence of fully homomorphic ciphers. - Vinuta V. Gayatri, Pradeep Kiran Sarvepalli:
Decoding Algorithms for Hypergraph Subsystem Codes and Generalized Subsystem Surface Codes. - Shaowu Pan, Karthik Duraisamy:
Long-time predictive modeling of nonlinear dynamical systems using neural networks. - Michael B. Cohen, Jelena Diakonikolas, Lorenzo Orecchia:
On Acceleration with Noise-Corrupted Gradients. - Miaomiao Wang, Abdelhamid Tayebi:
On the Design of Hybrid Pose and Velocity-bias Observers on Lie Group SE(3). - Hao Qin, Rupesh Kumar, Vadim Makarov, Romain Alléaume:
Homodyne-detector-blinding attack in continuous-variable quantum key distribution. - Serge Gaspers, Shenwei Huang, Daniël Paulusma:
Colouring Square-Free Graphs without Long Induced Paths. - Luka Ribar, Rodolphe Sepulchre:
Neuromodulation of Neuromorphic Circuits. - Miriam Backens, Aleks Kissinger:
ZH: A Complete Graphical Calculus for Quantum Computations Involving Classical Non-linearity. 23-42 - Abraham Westerbaan, Bas Westerbaan, John van de Wetering:
Pure Maps between Euclidean Jordan Algebras. 345-364 - Stefano Gogioso:
Higher-order CPM Constructions. 145-162 - Stefano Gogioso, Fabrizio Genovese:
Quantum Field Theory in Categorical Quantum Mechanics. 163-177 - Stefano Gogioso, Dan Marsden, Bob Coecke:
Symmetric Monoidal Structure with Local Character is a Property. 179-190
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