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CoRR, September 2018
- Minjia Shi, Rongsheng Wu, Denis S. Krotov:
On ZpZpk-additive codes and their duality. - David Alvarez-Melis, Tommi S. Jaakkola:
Gromov-Wasserstein Alignment of Word Embedding Spaces. - Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter:
Bilinear Recovery using Adaptive Vector-AMP. - Paul Mireault:
Implementing WHERE and ORDER BY as spreadsheet formulas. - Suwen Lin, Louis Faust, Pablo Robles-Granda, Nitesh V. Chawla:
Social Network Structure is Predictive of Health and Wellness. - Stefanie Tellex, Andy Brown, Sergei Lupashin:
Estimation for Quadrotors. - Zhe Yu, Tim Menzies:
Total Recall, Language Processing, and Software Engineering. - Ethan Wilcox, Roger Levy, Takashi Morita, Richard Futrell:
What do RNN Language Models Learn about Filler-Gap Dependencies? - Bin Han, Antonio De Domenico, Ghina Dandachi, Anastasios Drosou, Dimitrios Tzovaras, Roberto Querio, Fabrizio Moggio, Ömer Bulakci, Hans D. Schotten:
Admission and Congestion Control for 5G Network Slicing. - Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu, Zhaoyu Wang:
A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability. - Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Fankun Bu:
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation. - Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch, Elle Yuan Wang:
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features. - Sergey Loyka:
On The Capacity of Gaussian MIMO Channels Under The Joint Power Constraints. - Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang, Yuxuan Yuan, Fankun Bu:
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems. - Yu Qing Zhou, Ga Wu, Scott Sanner, Putra Manggala:
Aesthetic Features for Personalized Photo Recommendation. - Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard:
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. - Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie:
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. - Yova Kementchedjhieva, Adam Lopez:
Indicatements that character language models learn English morpho-syntactic units and regularities. - Wei Wang, Taro Watanabe, Macduff Hughes, Tetsuji Nakagawa, Ciprian Chelba:
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection. - Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). - Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein:
Nightmare at test time: How punctuation prevents parsers from generalizing. - Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan:
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. - Wenbo Dong, Pravakar Roy, Volkan Isler:
Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows. - Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood:
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. - Andreas Bärtschi, Daniel Graf, Matús Mihalák:
Collective fast delivery by energy-efficient agents. - Ishtar Nyawira, Kristi Bushman, Iris Qian, Annie Zhang:
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data. - Ishtar Nyawira, Kristi Bushman:
A Simplified Approach to Deep Learning for Image Segmentation. - Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Hierarchical CVAE for Fine-Grained Hate Speech Classification. - Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Eliminating Boundaries in Cloud Storage with Anna. - Allan Zhou, Anca D. Dragan:
Cost Functions for Robot Motion Style. - Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust 3D Distributed Formation Control with Application to Quadrotors. - Mikolaj Morzy, Tomasz Kajdanowicz:
Entropy and Graph Energy of Complex Networks. - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Learning Low Precision Deep Neural Networks through Regularization. - Kaveh Fathian, Emily A. Doucette, J. Willard Curtis, Nicholas R. Gans:
Vision-Based Distributed Formation Control of Unmanned Aerial Vehicles. - Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin:
Attentive Crowd Flow Machines. - Ian Lundberg, Arvind Narayanan, Karen Levy, Matthew J. Salganik:
Privacy, ethics, and data access: A case study of the Fragile Families Challenge. - Zhanming Jie, Wei Lu:
Dependency-based Hybrid Trees for Semantic Parsing. - Hossein Rastgoftar, Ella M. Atkins:
Multi-UAV Continuum Deformation Flight Optimization in Cluttered Urban Environments. - Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. - Sebastian Angel, David Lazar, Ioanna Tzialla:
What's a little leakage between friends? - Farnaz Sheikhi, Sharareh Alipour:
On Triangluar Separation of Bichromatic Point Sets in Polygonal Environment. - Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. - Behnam Dezfouli, Vahid Esmaeelzadeh, Jaykumar Sheth, Marjan Radi:
A Review of Software-Defined WLANs: Architectures and Central Control Mechanisms. - Felix Stahlberg, James Cross, Veselin Stoyanov:
Simple Fusion: Return of the Language Model. - Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig:
Contextual Encoding for Translation Quality Estimation. - Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. - Carsten Lutz, Inanç Seylan, Frank Wolter:
The Data Complexity of Ontology-Mediated Queries with Closed Predicates. - Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Case Prioritization Using Test Similarities. - Anagi Gamachchi, Li Sun, Serdar Boztas:
A Graph Based Framework for Malicious Insider Threat Detection. - Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Prioritization in Continuous Integration Environments. - Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard:
Why is unsupervised alignment of English embeddings from different algorithms so hard? - Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. - Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P. Michalak, Talal Rahwan:
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network. - Renato Marroquín, Ingo Müller, Darko Makreshanski, Gustavo Alonso:
Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
Hypergraph Modeling and Visualisation of Complex Co-occurence Networks. - Meghdad Ghari:
Linear Temporal Justification Logics with Past Operators. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Implications of Ocular Pathologies for Iris Recognition Reliability. - Mateusz Trokielewicz:
Linear regression analysis of template aging in iris biometrics. - Norbert Bátfai
, Dávid Papp, Renátó Besenczi, Gergo Bogacsovics, Dávid Veres:
Benchmarking Cognitive Abilities of the Brain with Computer Games. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Human Iris Recognition in Post-mortem Subjects: Study and Database. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Iris Recognition Under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes. - Marcin Junczys-Dowmunt, Roman Grundkiewicz:
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing. - Andry Alamsyah
, T. T. Gustyana, A. D. Fajaryanto, D. Septiafani:
Open Data Analytical Model for Human Development Index Optimization to Support Government Policy. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
Exchange-Based Diffusion in Hb-Graphs: Highlighting Complex Relationships. - Tianyang Wang, Jun Huan, Bo Li:
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. - Marcin Junczys-Dowmunt:
Microsoft's Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data. - Marcin Junczys-Dowmunt:
Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora. - Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Assessment of iris recognition reliability for eyes affected by ocular pathologies. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-mortem Human Iris Recognition. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Cataract influence on iris recognition performance. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes. - Mateusz Trokielewicz, Mateusz Szadkowski:
Iris and periocular recognition in arabian race horses using deep convolutional neural networks. - Mateusz Trokielewicz:
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera. - Lucas Schelkes:
Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials. - Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu
, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. - Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
A Multilingual Information Extraction Pipeline for Investigative Journalism. - Carlos Vega, Eduardo Miravalls-Sierra, Guillermo Julián-Moreno, Jorge E. López de Vergara, Eduardo Magaña, Javier Aracil:
Evaluation of the performance challenges in automatic traffic report generation with huge data volumes. - Jack Parry:
Finding the Answers with Definition Models. - Zongji Wang, Feng Lu:
VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes. - Anagi Gamachchi, Serdar Boztas:
Insider Threat Detection Through Attributed Graph Clustering. - Peng Yang, Ning Zhang, Shan Zhang, Li Yu, Junshan Zhang, Xuemin Shen:
Content Popularity Prediction Towards Location-Aware Mobile Edge Caching. - Serife Acikalin, Süleyman Eken, Ahmet Sayar:
Sleep Stage Classification: Scalability Evaluations of Distributed Approaches. - Süleyman Eken, Eray Aydin, Ahmet Sayar:
Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI. - Yasser Alsouda, Sabri Pllana, Arianit Kurti:
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities. - Ankit Shah, Harini Kesavamoorthy, Poorva Rane, Pramati Kalwad, Alexander G. Hauptmann, Florian Metze:
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset. - Tatiana Lisitskaya, Pavel Taranov, Ekaterina Ugnich, Vladimir Pislyakov:
Pillar Universities in Russia: The Rise of "the Second Wave". - Leonardo León, Felipe Moreno, Renato Castro
, José Navío, Marco Capcha:
Car Monitoring System in Apartment Garages by Small Autonomous Car using Deep Learning. - Devendra Singh Sachan, Graham Neubig:
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. - Yogatheesan Varatharajah, Brent M. Berry, Sanmi Koyejo, Ravishankar K. Iyer:
A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. - Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann:
Stochastic Video Long-term Interpolation. - Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C. Purchase, Hsiang-Yun Wu:
Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation. - Soumyottam Chatterjee, Gopal Pandurangan, Peter Robinson:
The Complexity of Leader Election: A Chasm at Diameter Two. - Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang:
Learning to Navigate for Fine-grained Classification. - Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. - F. Richard Yu:
vDLT: A Service-Oriented Blockchain System with Virtualization and Decoupled Management/Control and Execution. - Benjamin Narin, Makenzie Brian, William D. Smart:
A Critical Look at Smart Wheelchairs. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Towards Automated Customer Support. - Songyang Zhang:
Congestion Control for RTP Media: a Comparison on Simulated Environment. - Amit Agarwal, Brijraj Singh, Jatin Bedi, Durga Toshniwal:
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. - Moslem Forouzesh, Paeiz Azmi, Ali Kuhestani:
Secure transmission with covert requirement in untrusted relaying networks. - Mikel L. Forcada, Carolina Scarton, Lucia Specia, Barry Haddow, Alexandra Birch:
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting. - Xianfu Chen, Celimuge Wu, Mehdi Bennis, Zhifeng Zhao, Zhu Han:
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective. - Chien-Chun Ni, Yu-Yao Lin, Jie Gao, Xianfeng David Gu:
Network Alignment by Discrete Ollivier-Ricci Flow. - Yafang Huang, Hai Zhao:
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet. - Célestin Coquidé
, José Lages, Dima Shepelyansky:
World influence and interactions of universities from Wikipedia networks. - Bingzhen Wei, Junyang Lin:
Future-Prediction-Based Model for Neural Machine Translation. - Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. - Motiur Rahman, Nabeel Mohammed, Nafees Mansoor, Sifat Momen:
Chittron: An Automatic Bangla Image Captioning System. - Somnath Rakshit, Soumyadeep Debnath, Dhiman Mondal:
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning. - Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. - Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations. - Darío Garigliotti, Krisztian Balog:
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents. - Ravi M. Vishwanath, Saumya Kumaar Saksena, S. N. Omkar:
A Real-time Control Approach for Unmanned Aerial Vehicles using Brain-computer Interface. - Elizabeth A. Amusan, Justice Emuoyibofarhe, Tayo O. Arulogun:
Development of a Medical Tele-Management System for Post-Discharge Patients of Chronic Diseases in Resource-Constrained Settings. - Anamika Chhabra, Sudarshan Iyengar:
Capturing Knowledge Triggering in Collaborative Settings. - Tom Kocmi, Ondrej Bojar:
Trivial Transfer Learning for Low-Resource Neural Machine Translation. - Abhaykumar Kumbhar, Hamidullah Binol, Ismail Güvenç, Kemal Akkaya:
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet. - Ankit Shah, Tyler Vuong:
Natural Language Person Search Using Deep Reinforcement Learning. - David Cortes:
Cold-start recommendations in Collective Matrix Factorization. - B. Naveen, Suril Vijaykumar Shah, Arun K. Misra:
Momentum Model-based Minimal Parameter Identification of a Space Robot. - (Withdrawn) On overcoming the Curse of Dimensionality in Neural Networks.
- Yuchen Zhang, Nianwen Xue:
Neural Ranking Models for Temporal Dependency Structure Parsing. - Xenia Bogomolec, Jochen Gerhard:
Post-Quantum Secure Cryptographic Algorithms. - Shourya Pratap Singh, Ankit Kumar Panda, Susobhit Panigrahi, Ajaya Kumar Dash, Debi Prosad Dogra:
PlutoAR: An Inexpensive, Interactive And Portable Augmented Reality Based Interpreter For K-10 Curriculum. - Markku Suomalainen, Janne Koivumäki, Santeri Lampinen, Ville Kyrki, Jouni Mattila:
Learning from Demonstration for Hydraulic Manipulators. - Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Neural Character-based Composition Models for Abuse Detection. - Rachel M. Bittner, Brian McFee, Juan Pablo Bello:
Multitask Learning for Fundamental Frequency Estimation in Music. - Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. - Paul Michel, Graham Neubig:
MTNT: A Testbed for Machine Translation of Noisy Text. - Igor G. Vladimirov
, Ian R. Petersen:
Direct coupling coherent quantum observers with discounted mean square performance criteria and penalized back-action. - Alan Ferrari, Silvia Giordano:
A study on users' privacy perception with smart devices. - Çigdem Aslay, Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, Aristides Gionis:
Mining Frequent Patterns in Evolving Graphs. - Alborz Rezazadeh Sereshkeh, Rozhin Yousefi, Andrew T. Wong, Tom Chau:
Online classification of imagined speech using functional near-infrared spectroscopy signals. - Saumya Kumaar Saksena, Arpit Sangotra, Sudakshin Kumar, Mayank Gupta, Navaneethkrishnan B, S. N. Omkar:
Learning to Navigate Autonomously in Outdoor Environments : MAVNet. - Akshita Mittel, Sowmya P. Munukutla, Himanshi Yadav:
Visual Transfer between Atari Games using Competitive Reinforcement Learning. - Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams. - Gang Chen, Yiming Peng, Mengjie Zhang:
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. - Ting Xie, Oliver Kennedy, Varun Chandola:
Query Log Compression for Workload Analytics. - Lakhan Shiva Kamireddy, Dharmik Thakkar, Lakhan Saiteja Kamireddy:
PlayNPort: A Portable Wireless Music Player and Text Reader System. - Disha Shrivastava, Abhijit Mishra, Karthik Sankaranarayanan:
Modeling Topical Coherence in Discourse without Supervision. - Disha Shrivastava, Sreyash Kenkre, Santosh Penubothula:
Hypernyms Through Intra-Article Organization in Wikipedia. - Cheol Jeong, Won-Yong Shin:
Network-Decomposed Hierarchical Cooperation in Ad Hoc Networks With Social Relationships. - Olga Krestinskaya, Akshay Kumar Maan, Alex Pappachen James:
Programmable Memristive Threshold Logic Gate Array. - Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang:
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition. - Jilin Mei, Biao Gao, Donghao Xu, Wen Yao, Xijun Zhao, Huijing Zhao:
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning. - Shiwen He, Chenhao Qi, Yongming Huang, Qi Hou, Arumugam Nallanathan:
Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks. - Wenchao Du, Alan W. Black:
Data Augmentation for Neural Online Chat Response Selection. - Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. - Wei Bi, Huawei Yang, Maolin Zheng:
An Accelerated Method for Message Propagation in Blockchain Networks. - Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang:
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. - Maxime Bombar, Alexander Fish:
Delocalisation of one-dimensional marginals of product measures and the capacity of LTI discrete channels. - Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang:
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. - Stefan Marksteiner:
Reasoning on Adopting OPC UA for an IoT-Enhanced Smart Energy System from a Security Perspective. - Stefan Marksteiner:
Smart Ticket Protection: An Architecture for Cyber-Protecting Physical Tickets Using Digitally Signed Random Pattern Markers. - Felix Mohr, Marcel Wever, Eyke Hüllermeier:
Automated Machine Learning Service Composition. - Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. - Boliang Lin:
Prediction of Electric Multiple Unit Fleet Size Based on Convolutional Neural Network. - Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann:
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web. - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
LRS3-TED: a large-scale dataset for visual speech recognition. - Ransalu Senanayake, Fabio Ramos:
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments. - Yi Yu, Samuel Beuret, Donghuo Zeng, Keizo Oyama:
Deep Learning of Human Perception in Audio Event Classification. - Eugene Goldberg:
Improving Convergence Rate Of IC3. - José A. Alonso-Jiménez, Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz, María Magdalena Fernández-Lebrón, María-José Hidalgo-Doblado:
A logic-algebraic tool for reasoning with Knowledge-Based Systems. - Aniketh Janardhan Reddy, Gil Rocha, Diego Esteves:
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention. - Hugo Caselles-Dupré
, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat:
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. - Qun Song, Chaojie Gu, Rui Tan:
Deep Room Recognition Using Inaudible Echos. - Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. - Anca Dumitrache, Lora Aroyo, Chris Welty:
Crowdsourcing Semantic Label Propagation in Relation Classification. - Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins:
Multilingual Clustering of Streaming News. - Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski:
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. - Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano:
Learning Vision-based Cohesive Flight in Drone Swarms. - Ben Bogin, Mor Geva, Jonathan Berant:
Emergence of Communication in an Interactive World with Consistent Speakers. - Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence. - Fedor Muratov, Andrei Lebedev, Nikolai Iushkevich, Bulat Nasrulin, Makoto Takemiya:
YAC: BFT Consensus Algorithm for Blockchain. - Amira Ghenai, Yelena Mejova:
Fake Cures: User-centric Modeling of Health Misinformation in Social Media. - Yves Bertot:
Formal Verification of a Geometry Algorithm: A Quest for Abstract Views and Symmetry in Coq Proofs. - Gaku Morio, Katsuhide Fujita:
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture. - Philippe Lemoisson, Stefano A. Cerri:
ViewpointS: towards a Collective Brain. - Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. - Xiusheng Liu, Hualu Liu, Long Yu:
Entanglement-assisted quantum codes from Galois LCD codes. - Christoph Matthies, Arian Treffer, Matthias Uflacker:
Prof. CI: Employing Continuous Integration Services and Github Workflows to Teach Test-driven Development. - Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. - Robert Ganian, Sebastian Ordyniak:
The Complexity Landscape of Decompositional Parameters for ILP. - Liping Zhang, Zongqing Lu, Qingmin Liao:
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network. - Daniel Loureiro, Alípio Mário Jorge
:
Affordance Extraction and Inference based on Semantic Role Labeling. - Tanguy Kerdoncuff, Rémi Emonet:
IoU is not submodular. - Sanli Tang, Xiaolin Huang, Mingjian Chen, Jie Yang:
Adversarial Attack Type I: Generating False Positives. - Ying Huang, Jiyang Dai, Chen Peng:
Optimization Design of Decentralized Control for Complex Decentralized Systems. - Christoph Matthies, Thomas Kowark, Matthias Uflacker, Hasso Plattner:
Agile Metrics for a University Software Engineering Course. - Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin
, Tom Vercauteren:
Image computing for fibre-bundle endomicroscopy: A review. - Mingjie Cai, Guangming Lang:
Incremental approaches to updating attribute reducts when refining and coarsening coverings. - Dorjan Hitaj, Luigi V. Mancini:
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques. - Arunesh Mathur, Arvind Narayanan, Marshini Chetty:
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. - Henning Schulzrinne:
Networking Research - A Reflection in the Middle Years. - Denis Efremov, Mikhail U. Mandrykin, Alexey V. Khoroshilov:
Deductive Verification of Unmodified Linux Kernel Library Functions. - Peter Eades, Patrick Healy, Nikola S. Nikolov:
The Weighted Barycenter Drawing Recognition Problem. - Christoph Matthies, Thomas Kowark, Keven Richly, Matthias Uflacker, Hasso Plattner:
ScrumLint: Identifying Violations of Agile Practices Using Development Artifacts. - Xavier Timoneda, Albert Cabellos-Aparicio, Dionysios Manessis, Eduard Alarcón, Sergi Abadal:
Channel Characterization for Chip-scale Wireless Communications within Computing Packages. - Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Yinpei Dai, Clare Mansfield, Osman Ramadan, Stefan Ultes, Michael Crawford, Milica Gasic:
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy. - João M. Afonso, Gabriel D. Fernandes, João Pedro Alves Fernandes, Filipe Oliveira, Bruno M. Ribeiro, Rogério Pontes, José N. Oliveira, Alberto J. Proença:
Typed Linear Algebra for Efficient Analytical Querying. - Shanghua Xiao:
Learning Saliency Prediction From Sparse Fixation Pixel Map. - Zhixiang Hao, Yu Li, Shaodi You, Feng Lu:
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks. - Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. - Christoph Matthies, Thomas Kowark, Keven Richly, Matthias Uflacker, Hasso Plattner:
How Surveys, Tutors, and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project. - Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. - Ravi Shankar, Yamini Chandrakar, Radhika Sinha, Ritesh Kumar Mishra:
PEP Analysis of Selective Decode and Forward Protocol over Keyhole Fading. - Mohammad Ashraful Hoque, Hassan Abbas, Tong Li, Yong Li, Pan Hui, Sasu Tarkoma:
Barriers in Seamless QoS for Mobile Applications. - Roman Budylin, Alexey Drutsa, Gleb Gusev, Pavel Serdyukov, Igor Yashkov:
Online Evaluation for Effective Web Service Development. - Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning. - Jiuniu Wang, Xingyu Fu, Guangluan Xu, Yirong Wu, Ziyan Chen, Yang Wei, Li Jin:
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension. - Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. - Lucas Mol, Narad Rampersad, Jeffrey O. Shallit, Manon Stipulanti:
Cobham's Theorem and Automaticity. - Moitreya Chatterjee, Alexander G. Schwing:
Diverse and Coherent Paragraph Generation from Images. - Tesfamichael Marikos Hagos, Markku Suomalainen, Ville Kyrki:
Segmenting and Sequencing of Compliant Motions. - Nishant Nikhil, Brendan Tran Morris:
Convolutional Neural Networkfor Trajectory Prediction. - Jinhua Du, Jingguang Han, Andy Way, Dadong Wan:
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction. - Edith Zavala, Xavier Franch, Jordi Marco:
Adaptive Monitoring: A Systematic Mapping. - Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger:
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. - Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos:
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. - Berkay Kicanaoglu, Ran Tao, Arnold W. M. Smeulders:
Estimating Small Differences in Car-Pose from Orbits. - Kuan Cheng, Zhengzhong Jin, Xin Li, Ke Wu:
Edit Errors with Block Transpositions: Deterministic Document Exchange Protocols and Almost Optimal Binary Codes. - Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. - Maria Glenski, Greg Stoddard, Paul Resnick, Tim Weninger:
GuessTheKarma: A Game to Assess Social Rating Systems. - Phan-Thuan Do, Thi Thu Huong Tran, Vincent Vajnovszki:
Exhaustive generation for permutations avoiding a (colored) regular sets of patterns. - Leonardo Babun, Amit Kumar Sikder, Abbas Acar, A. Selcuk Uluagac:
IoTDots: A Digital Forensics Framework for Smart Environments. - Maurice S. Fabien, Matthew G. Knepley, Beatrice M. Riviere:
A high order hybridizable discontinuous Galerkin method for incompressible miscible displacement in heterogeneous media. - Chamsi Hssaine, Siddhartha Banerjee:
Information Signal Design for Incentivizing Team Formation. - Kenji Nakagawa, Yoshinori Takei, Kohei Watabe:
Analysis for the Slow Convergence in Arimoto Algorithm. - Myungsu Chae, Tae-Ho Kim, Young Hoon Shin, June-Woo Kim, Soo-Young Lee:
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Weights of Joint Loss. - Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang:
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model. - Cides S. Bezerra, Rayson Laroca, Diego Rafael Lucio, Evair Severo, Lucas F. Oliveira, Alceu S. Britto Jr., David Menotti:
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks. - Shu-Hsuan Hsu, I-Chao Shen, Bing-Yu Chen:
Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation. - Zhongxi Zhang, Qingguo Li, Nan Zhang:
A characterization of the consistent Hoare powerdomains over dcpos. - Bo Chen, Le Sun, Xianpei Han:
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing. - Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li:
Deep Smoke Segmentation. - Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. - Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao:
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. - Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen:
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. - Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. - Lin Weng:
Adelic Extension Classes, Atiyah Bundles and Non-Commutative Codes. - Srikumar Krishnamoorthy:
A comparative study of top-k high utility itemset mining methods. - Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Juan Rojas:
Plastic Waste is Exponentially Filling our Oceans, but where are the Robots? - Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui:
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. - Oliver Karras:
Software Professionals' Attitudes towards Video as a Medium in Requirements Engineering. - Yiran Wang, Adam Noel, Nan Yang:
A Novel A Priori Simulation Algorithm for Absorbing Receivers in Diffusion-Based Molecular Communication Systems. - Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat, Athman Bouguettaya:
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services. - Semih Yagcioglu, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis:
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes. - Roberto Bagnara, Abramo Bagnara, Patricia M. Hill:
The MISRA C Coding Standard and its Role in the Development and Analysis of Safety- and Security-Critical Embedded Software. - T.-H. Hubert Chan, Jonathan Katz, Kartik Nayak, Antigoni Polychroniadou, Elaine Shi:
More is Less: Perfectly Secure Oblivious Algorithms in the Multi-Server Setting. - Carolin Unger-Windeler, Jil Klünder:
On the Tasks and Characteristics of Product Owners: A Case Study in the Oil & Gas Industry. - Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun:
Improving the Expressiveness of Deep Learning Frameworks with Recursion. - Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. - Dan Dai, Zhiwen Yu, Yang Hu, Wenming Cao, Mingnan Luo:
Metabolize Neural Network. - Bhupendra Kumar, Shankar Prakriya:
Framework for Discrete Rate Transmission in Buffer-Aided Underlay CRN With Direct Path. - Tao Li, Minsoo Choi, Kaiming Fu, Lei Lin:
Music Sequence Prediction with Mixture Hidden Markov Models. - Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. - Huanhuan Yu, Menglei Hu, Songcan Chen:
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories. - Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov:
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. - Anthony Hunter:
Non-monotonic Reasoning in Deductive Argumentation. - Prabhat Ram, Pilar Rodríguez, Markku Oivo:
Software Process Measurement and Related Challenges in Agile Software Development: A Multiple Case Study. - Omar Mohammed, Gérard Bailly, Damien Pellier:
Handwriting styles: benchmarks and evaluation metrics. - Siddhartha Kumar, Alexandre Graell i Amat, Eirik Rosnes, Linda Senigagliesi:
Private Information Retrieval From a Cellular Network With Caching at the Edge. - Henk F. Moed:
Assessment and support of emerging research groups. - Xiao Li, Yue Dong, Pieter Peers, Xin Tong:
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks. - Darius Afchar
, Vincent Nozick, Junichi Yamagishi, Isao Echizen:
MesoNet: a Compact Facial Video Forgery Detection Network. - Parvez Shaik, Praveen Kumar Singya, Vimal Bhatia:
Error Performance of Various QAM Schemes for Nonrenegerative Cooperative MIMO Network with Transmit Antenna Selection. - Bapi Chatterjee, Sathya Peri, Muktikanta Sa, Nandini Singhal:
A Simple and Practical Concurrent Non-blocking Unbounded Graph with Reachability Queries. - Marie-Morgane Paumard, David Picard, Hedi Tabia:
Image Reassembly Combining Deep Learning and Shortest Path Problem. - Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III:
Parity Crowdsourcing for Cooperative Labeling. - Xinge Zhu, Hui Zhou, Ceyuan Yang, Jianping Shi, Dahua Lin:
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation. - M. M. Shaifur Rahman, Mst Shamima Nasrin, Moin Mostakim, Md. Zahangir Alom:
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN). - Remie Janssen, Mark Jones, Steven Kelk, Georgios Stamoulis, Taoyang Wu:
Treewidth of display graphs: bounds, brambles and applications. - Jan Laukemann, Julian Hammer, Johannes Hofmann, Georg Hager, Gerhard Wellein:
Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures. - Yuhui Yuan, Jingdong Wang:
OCNet: Object Context Network for Scene Parsing. - Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira:
Segmentation-free compositional n-gram embedding. - Mahmoud Barhamgi, Charith Perera, Chirine Ghedira, Djamal Benslimane:
User-centric Privacy Engineering for the Internet of Things. - Hossein Sabzian, Ehsan Kamrani, Seyyed Mostafa Seyyed Hashemi:
A Neural Network Model for Determining the Success or Failure of High-tech Projects Development: A Case of Pharmaceutical industry. - Jirapat Likitlersuang, Elizabeth R. Sumitro, Tianshi Cao, Ryan J. Visée, Sukhvinder Kalsi-Ryan, José Zariffa:
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home. - Yuqi Cui, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks. - Julien Lavauzelle:
Lifted Projective Reed-Solomon Codes. - Hu Ding:
Faster Balanced Clusterings in High Dimension. - Xingyi Song, Johann Petrak, Angus Roberts:
A Deep Neural Network Sentence Level Classification Method with Context Information. - Rosanna Turrisi, Raffaele Tavarone, Leonardo Badino:
Improving generalization of vocal tract feature reconstruction: from augmented acoustic inversion to articulatory feature reconstruction without articulatory data. - Ziliang Lai, Chris Liu, Eric Lo, Ben Kao, Siu-Ming Yiu:
Decentralized Search on Decentralized Web. - Arnold Filtser, Robert Krauthgamer, Ohad Trabelsi:
Noisy Voronoi: a Simple Framework for Terminal-Clustering Problems. - Jerry Li:
Twin-GAN - Unpaired Cross-Domain Image Translation with Weight-Sharing GANs. - Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk:
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. - Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem:
Task adapted reconstruction for inverse problems. - Idris Jeelani, Kevin K. Han, Alex Albert:
Automating Analysis of Construction Workers Viewing Patterns for Personalized Safety Training and Management. - Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques:
Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera. - Irvin Aloise
, Giorgio Grisetti:
Matrix Difference in Pose-Graph Optimization. - Burak Satar, Ahmet Emir Dirik:
Deep Learning Based Vehicle Make-Model Classification. - Laurent Lyaudet:
A class of orders with linear? time sorting algorithm. - Pankaj Raj Roy, Guillaume-Alexandre Bilodeau:
Road User Abnormal Trajectory Detection using a Deep Autoencoder. - Roberto Rey-de-Castro, Herschel Rabitz:
Targeted Nonlinear Adversarial Perturbations in Images and Videos. - Meng Wang, Cong Tian, Nan Zhang, Zhenhua Duan, Chenguang Yao:
Translating C programs to MSVL programs. - Yueyue Wang, Liang Zhao, Zhijian Song, Manning Wang:
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net. - Ram Krishna Pandey, Nabagata Saha, Samarjit Karmakar, A. G. Ramakrishnan:
MSCE: An edge preserving robust loss function for improving super-resolution algorithms. - Albert Fannjiang, Zheqing Zhang:
Blind Ptychography by Douglas-Rachford Splitting. - Xiangyu He, Hong Xing, Yue Chen, Arumugam Nallanathan:
Energy-Efficient Mobile-Edge Computation Offloading for Applications with Shared Data. - V. Madhu Babu, Anima Majumder, Kaushik Das, Swagat Kumar:
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation. - Laurent Lejeune, Jan Grossrieder, Raphael Sznitman:
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. - Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic:
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. - Fabian Gotzens, Heidi Heinrichs, Jonas Hörsch, Fabian Hofmann:
Performing energy modelling exercises in a transparent way the issue of data quality in power plant databases. - Luyao Niu, Jie Fu, Andrew Clark:
Minimum Violation Control Synthesis on Cyber-Physical Systems under Attacks. - Kostadin Kratchanov, Efe Ergün:
Language Interoperability in Control Network Programming. - Jacob Nogas, Shehroz S. Khan, Alex Mihailidis:
DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. - Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee:
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. - Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling:
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. - D. D. N. De Silva, Subha Fernando, I. Thilini S. Piyatilake, A. V. S. Karunarathne:
Wavelet based edge feature enhancement for convolutional neural networks. - Hai-Qing Yin, Xue Jiang, Guo-Quan Liu, Sharon Elder, Bin Xu, Qing-Jun Zheng, Xuan-Hui Qu:
The materials data ecosystem: materials data science and its role in data-driven materials discovery. - Jorge Higuera, Aleix Llenas, Josep Carreras:
Trends in smart lighting for the Internet of Things. - Ye Hu, Anibal Sanjab, Walid Saad:
Dynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems. - Carlos-Emiliano González-Gallardo, Malek Hajjem, Eric SanJuan, Juan-Manuel Torres-Moreno:
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique. - Abdallah Moussawi:
Towards Large Scale Training Of Autoencoders For Collaborative Filtering. - Fei Jiang, Guosheng Yin:
Bayesian Outdoor Defect Detection. - Saumya Kumaar Saksena, Navaneethkrishnan B, Sumedh Mannar, S. N. Omkar:
JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles. - Nicoló Savioli, Miguel S. Vieira
, Pablo Lamata, Giovanni Montana:
Automated segmentation on the entire cardiac cycle using a deep learning work-flow. - Yangling Ma, Yixin Luo, Zhouwang Yang:
Geometric Operator Convolutional Neural Network. - Moritz Klammler, Tamara Mchedlidze, Alexey Pak:
Aesthetic Discrimination of Graph Layouts. - Chao Chen, Boyuan Jiang, Xinyu Jin:
Parameter Transfer Extreme Learning Machine based on Projective Model. - Paul-Edouard Sarlin, Frédéric Debraine, Marcin Dymczyk, Roland Siegwart, Cesar Cadena:
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization. - Fatemeh Hadaeghi, Herbert Jaeger:
Computing optimal discrete readout weights in reservoir computing is NP-hard. - Yuan He, Ming Jiang, Chunming Zhao:
A Neural Network Aided Approach for LDPC Coded DCO-OFDM with Clipping Distortion. - Ronghua Xu, Xuheng Lin, Qi Dong, Yu Chen:
Constructing Trustworthy and Safe Communities on a Blockchain-Enabled Social Credits System. - Lê Nguyên Hoang:
A Roadmap for the Value-Loading Problem. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Iris recognition in cases of eye pathology. - Zaid Allybokus, Konstantin Avrachenkov, Jérémie Leguay, Lorenzo Maggi:
Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed Software Defined Networks. - Yuri Bizzoni, Shalom Lappin:
The Effect of Context on Metaphor Paraphrase Aptness Judgments. - Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
JobComposer: Career Path Optimization via Multicriteria Utility Learning. - Ricardo Santos, Hakim Ghazzai, Andreas Kassler:
Optimal Steerable mmWave Mesh Backhaul Reconfiguration. - Mohsen Barforooshan, Milan S. Derpich, Photios A. Stavrou, Jan Østergaard:
The Effect of Time Delay on the Average Data Rate and Performance in Networked Control Systems. - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation. - Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian:
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard. - Yuan Wu, Lingling Li, Lian Li:
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network. - Roman Klinger, Orphée De Clercq, Saif M. Mohammad, Alexandra Balahur:
IEST: WASSA-2018 Implicit Emotions Shared Task. - M. Majid Butt, Irene Macaluso, Carlo Galiotto, Nicola Marchetti:
Fair Dynamic Spectrum Management in Licensed Shared Access Systems. - Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
:
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. - Aleksandar Bojchevski, Stephan Günnemann:
Adversarial Attacks on Node Embeddings. - Adilson Luiz Bonifácio, Wellington Aparecido Della Mura:
An automatic tool for checking multi-party contracts. - Fuwen Tan, Song Feng, Vicente Ordonez:
Text2Scene: Generating Abstract Scenes from Textual Descriptions. - (Withdrawn) A note on the tight example in On the randomised query complexity of composition.
- Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
VideoMatch: Matching based Video Object Segmentation. - Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. - Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation. - Timos Papadopoulos, Stephen J. Roberts, Katherine J. Willis:
Automated bird sound recognition in realistic settings. - Jason Shuo Zhang, Chenhao Tan, Qin Lv:
"This is why we play": Characterizing Online Fan Communities of the NBA Teams. - Yang Young Lu, Yingying Fan, Jinchi Lv, William Stafford Noble:
DeepPINK: reproducible feature selection in deep neural networks. - Asura Enkhbayar
, Juan Pablo Alperin:
Challenges of capturing engagement on Facebook for Altmetrics. - Youngseo Son, Nipun Bayas, H. Andrew Schwartz:
Causal Explanation Analysis on Social Media. - Pravesh Kothari, Ryan O'Donnell, Tselil Schramm:
SOS lower bounds with hard constraints: think global, act local. - Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan:
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. - Fenxiao Chen, Bin Wang, C.-C. Jay Kuo:
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification. - Benjamin J. Ayton, Brian C. Williams:
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions. - Thinh Hung Pham, Alexander Fell, Arnab Kumar Biswas, Siew-Kei Lam, Nandeesha Veeranna:
CIDPro: Custom Instructions for Dynamic Program Diversification. - Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. - L. C. Davis:
Optimal merging from an on-ramp into a high-speed lane dedicated to connected autonomous vehicles. - Kyriakos Tolias, Sotirios Chatzis:
t-Exponential Memory Networks for Question-Answering Machines. - Yimajian Yan, Di Shi, Desong Bian, Bibin Huang, Zhehan Yi, Zhiwei Wang:
Small-signal Stability Analysis and Performance Evaluation of Microgrids under Distributed Control. - Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Deep Priority Hashing. - Olyvia Kundu, Swagat Kumar:
Optimized edge-based grasping method for a cluttered environment. - Michael Ting, Nicolas Grislain:
Maximizing net income of the auction waterfall with an abort decision tree. - Xiangyang Gou, Lei Zou, Chenxingyu Zhao, Tong Yang:
Fast and Accurate Graph Stream Summarization. - Kenza Hamidouche, Ali Taleb Zadeh Kasgari, Walid Saad, Mehdi Bennis, Mérouane Debbah:
Collaborative Artificial Intelligence (AI) for User-Cell association in Ultra-Dense Cellular Systems. - Mike Thelwall
, Carol Bailey, Catherine Tobin, Noel-Ann Bradshaw:
Gender differences in research areas and topics: An analysis of publications in 285 fields. - Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Coverage-Guided Fuzzing for Deep Neural Networks. - Julian Nubert, Niklas Funk, Fabio Vito Meier, Fabrice Oehler:
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping. - Matthew A. Wright
, Roberto Horowitz:
A Framework for Robust Assimilation of Potentially Malign Third-Party Data, and its Statistical Meaning. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Unsupervised Statistical Machine Translation. - Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim:
Learning Concept Abstractness Using Weak Supervision. - Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu:
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. - Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. - Pamela Shapiro, Kevin Duh:
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis. - Duc-Dung Tran, Ha-Vu Tran, Dac-Binh Ha, Georges Kaddoum:
Secure Transmit Antenna Selection Protocol for MIMO NOMA Networks over Nakagami-m Channels. - Mahmoodreza Jahanseir, Donald R. Sheehy:
Randomized Incremental Construction of Net-Trees. - Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang:
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling. - Ke Wang, Han Song, Jiahui Zhang, Xinran Zhang, Hongen Liao:
Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities. - Jieun Eom, Dong Hoon Lee, Kwangsu Lee:
Multi-Client Order-Revealing Encryption. - Ruide Li, Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Nan Yang, Jinhong Yuan, Jianping An:
Joint Trajectory and Resource Allocation Design for UAV Communication Systems. - Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Sachin Rathor, Archit Somani:
An Efficient Framework for Concurrent Execution of Smart Contracts. - Richard Futrell, Ethan Wilcox, Takashi Morita, Roger Levy:
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency. - Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. - Shereen Oraby, Lena Reed, Sharath T. S., Shubhangi Tandon, Marilyn A. Walker:
Neural MultiVoice Models for Expressing Novel Personalities in Dialog. - Carsten Burstedde:
Distributed-Memory Forest-of-Octrees Raycasting. - Seyyedeh Atefeh Musavi, Mahmoud Reza Hashemi:
A Threat Modeling Framework for Evaluating Computing Platforms Against Architectural Attacks. - Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. - Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data for Knowledge Base Completion. - Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas:
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach. - Matteo Ronchetti:
IKA: Independent Kernel Approximator. - Quan Chen, Tiezheng Ge, Yanyu Xu, Zhiqiang Zhang, Xinxin Yang, Kun Gai:
Semantic Human Matting. - Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech:
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. - Jukka Ruohonen, Ville Leppänen:
Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses. - Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. - Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: Understanding Natural Error Resilience in HPC Applications. - Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
Towards a Better Match in Siamese Network Based Visual Object Tracker. - Vahid Mostofi, Sadegh Aliakbary:
Towards quantitative methods to assess network generative models. - Haozhi Huang, Senzhe Xu, Junxiong Cai, Wei Liu, Shimin Hu:
Temporally Coherent Video Harmonization Using Adversarial Networks. - Pia Sommerauer, Antske Fokkens:
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell. - Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov, Victor S. Lempitsky:
Image Manipulation with Perceptual Discriminators. - Chen Yuan, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach. - Rahif Kassab, Osvaldo Simeone, Petar Popovski, Toufiqul Islam:
Heterogeneous Non-Orthogonal Multiple Access for Ultra-Reliable and Broadband Services in Multi-Cell Fog-RAN. - Xiaohang Zhan, Ziwei Liu, Junjie Yan, Dahua Lin, Chen Change Loy:
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition. - Christoph Baur, Shadi Albarqouni, Nassir Navab:
Generating Highly Realistic Images of Skin Lesions with GANs. - Chen Yuan, Yi Lu, Kewen Liu, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database. - Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai:
An Elementary Proof of a Classical Information-Theoretic Formula. - Qingqing Wu, Rui Zhang:
Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design. - Pamela Fleischmann, Pascal Ochem, Kamellia Reshadi:
Repetition avoidance in products of factors. - Giuseppe Castagna
:
Covariance and Controvariance: a fresh look at an old issue (a primer in advanced type systems for learning functional programmers). - Dixiao Wu, Feng Wang, Xiaowen Cao, Jie Xu:
Wireless Powered User Cooperative Computation in Mobile Edge Computing Systems. - Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater:
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation. - Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón:
Modeling the EM Field Distribution within a Computer Chip Package. - Arnab Karmakar
, Deepak Mishra, Anandmayee Tej:
Stellar Cluster Detection using GMM with Deep Variational Autoencoder. - Yan Ju, Lingling Li, Licheng Jiao, Zhongle Ren, Biao Hou, Shuyuan Yang:
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification. - Arash Akbarinia, Karl R. Gegenfurtner:
How is Contrast Encoded in Deep Neural Networks? - Fábio Perez, Cristina Vasconcelos, Sandra Avila, Eduardo Valle:
Data Augmentation for Skin Lesion Analysis. - Clint Sebastian, Ries Uittenbogaard, Julien A. Vijverberg, Bas Boom, Peter H. N. de With:
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery. - Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal:
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. - Rotem Dror, Roi Reichart:
Appendix - Recommended Statistical Significance Tests for NLP Tasks. - Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka J. Walpola:
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection. - Chao Zhang, Xuequan Lu
, Takuya Akashi:
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. - Biswanath Dutta
:
Theoretical analysis and propositions for "ontology citation". - Simon Jenni, Paolo Favaro:
Deep Bilevel Learning. - Ecem Sogancioglu, Shi Hu, Davide Belli, Bram van Ginneken:
Chest X-ray Inpainting with Deep Generative Models. - Sahib Budhiraja, Vijay Mago:
A Supervised Learning Approach For Heading Detection. - Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. - Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. - Luis Barba:
Geodesic farthest-point Voronoi diagram in linear time. - Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection from Low-rank Excitations of a Graph Filter. - Marzieh Saeidi, Max Bartolo, Patrick S. H. Lewis
, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. - Wafa Aissa, Laure Soulier, Ludovic Denoyer:
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems. - Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. - Jingfeng Yang, Sujian Li:
Chinese Discourse Segmentation Using Bilingual Discourse Commonality. - Matthias Leimeister, Benjamin J. Wilson:
Skip-gram word embeddings in hyperbolic space. - Samuel Carton, Qiaozhu Mei, Paul Resnick:
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. - Nishant Nikhil, Shivansh Mundra:
Neural DrugNet. - Hongjiang Lei, Haolun Luo, Ki-Hong Park, Gaofeng Pan, Imran Shafique Ansari
, Mohamed-Slim Alouini
:
On Secure Mixed RF-FSO Systems With TAS and Imperfect CSI. - Prakhar Ganesh, Puneet Rakheja:
Deep Reinforcement Learning in High Frequency Trading. - Davide Falessi, Likhita Narayana, Jennifer Fong Thai, Burak Turhan:
Preserving Order of Data When Validating Defect Prediction Models. - Francisco Lázaro, Gianluigi Liva, Enrico Paolini, Gerhard Bauch:
Bounds on the Error Probability of Raptor Codes under Maximum Likelihood Decoding. - Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, Peter W. Battaglia:
Modeling human intuitions about liquid flow with particle-based simulation. - Daniel Watson, Nasser Zalmout, Nizar Habash:
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models. - Dimitris Achlioptas, Fotis Iliopoulos, Vladimir Kolmogorov:
A Local Lemma for Focused Stochastic Algorithms. - Yi-Yuan Chiang, Wang-Hsin Hsu, Wen-Yen Lin, Jonathan Jen-Rong Chen:
Fail-Stop Group Signature Scheme. - Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein:
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. - Weiping Zheng, Zhenyao Mo, Xiaotao Xing, Gansen Zhao:
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions. - Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen:
Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling. - Víctor Gallego, Roi Naveiro, David Ríos Insua:
Reinforcement Learning under Threats. - Markku Suomalainen, Ville Kyrki:
Learning 6-D compliant motion primitives from demonstration. - Haitao Du, Shanchieh Jay Yang:
Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences. - Jevan A. Hutson, Jessie G. Taft, Solon Barocas, Karen Levy:
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms. - Julian Nubert, Nicholas Giai Truong, Abel Lim, Herbert Ilhan Tanujaya, Leah Lim, Mai Anh Vu:
Traffic Density Estimation using a Convolutional Neural Network. - Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat:
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? - Nikita Lozhnikov, Leon Derczynski, Manuel Mazzara:
Stance Prediction for Russian: Data and Analysis. - Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision-Making with Adaptive Neural Network Priors. - Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, James Henderson:
Document-Level Neural Machine Translation with Hierarchical Attention Networks. - Chenguang Lu:
From Bayesian Inference to Logical Bayesian Inference: A New Mathematical Frame for Semantic Communication and Machine Learning. - Mohamed Elobaid, Yue Hu, Jan Babic, Daniele Pucci:
Telexistence and Teleoperation for Walking Humanoid Robots. - Tzu-Heng Lin, Chen Gao, Yong Li:
Recommender Systems with Characterized Social Regularization. - Setareh Nasihati Gilani, David R. Traum, Arcangelo Merla, Eugenia Hee, Zoey Walker, Barbara Manini, Grady Gallagher, Laura-Ann Petitto:
Multimodal Dialogue Management for Multiparty Interaction with Infants. - Hatim Chergui, Kamel Tourki, Redouane Lguensat, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks. - Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg:
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. - Zhenzhen Jiao, Rui Tian, Dezhong Shang, Hui Ding:
Bicomp: A Bilayer Scalable Nakamoto Consensus Protocol. - Evangelos Vlachos, George C. Alexandropoulos, John S. Thompson:
Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion. - Kavitha Srinivas, Abraham Gale, Julian Dolby:
Merging datasets through deep learning. - Thomas G. Dietterich, Tadesse Zemicheal:
Anomaly Detection in the Presence of Missing Values. - Roderick Bloem, Görschwin Fey, Fabian Greif
, Robert Könighofer, Ingo Pill, Heinz Riener, Franz Röck:
Synthesizing Adaptive Test Strategies from Temporal Logic Specifications. - Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal network architectures for automatic generation of image annotation from text. - George Danezis, Dave Hrycyszyn:
Blockmania: from Block DAGs to Consensus. - Marco A. Casanova, Rômulo C. Magalhães:
An Algebra of Lightweight Ontologies. - Elisa S. Menendez, Marco A. Casanova, Mohand Boughanem, Luiz André P. Paes Leme:
Ranking RDF Instances in Degree-decoupled RDF Graphs. - Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
Online local pool generation for dynamic classifier selection: an extended version. - Nina Hristozova, Piotr Ozimek, Jan Paul Siebert:
Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning. - Simon Couch, Zeki Kazan, Kaiyan Shi, Andrew Bray, Adam Groce:
A Differentially Private Wilcoxon Signed-Rank Test. - Borislav Stoyanov, Strahil Strahilov:
Web Based Information System for Heat Supply Monitoring. - Joel Finkelstein, Savvas Zannettou, Barry Bradlyn, Jeremy Blackburn:
A Quantitative Approach to Understanding Online Antisemitism. - Yuliang Zou, Zelun Luo, Jia-Bin Huang:
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency. - Martin Peter Christiansen, Morten Stigaard Laursen, Birgitte Feld Mikkelsen, Nima Teimouri, Rasmus Nyholm Jørgensen, Claus Aage Grøn Sørensen:
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. - Erfan Nozari, Jorge Cortés:
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part I: Intra-Layer Dynamics and Selective Inhibition. - Michael Segundo Ortiz
, Sam Bubnovich, Mengqian Wang, Kazuhiro Seki, Javed Mostafa:
Measures of Cluster Informativeness for Medical Evidence Aggregation and Dissemination. - Ryan T. McDonald, Georgios-Ioannis Brokos, Ion Androutsopoulos:
Deep Relevance Ranking Using Enhanced Document-Query Interactions. - Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena:
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. - Kazuma Hashimoto, Yoshimasa Tsuruoka:
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. - Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. - Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen:
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. - Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan:
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. - Weitong Zhang, Shuai Liu, Daoya Yao:
Design and Realization of Intersection Traffic Control Simulation System Using Connected Vehicle Technology. - Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li
:
Hyperbolic Recommender Systems. - Minh-Nghia Nguyen, Long Dinh Nguyen, Trung Quang Duong, Hoang Duong Tuan:
Real-time Optimal Resource Allocation for Embedded UAV Communication Systems. - Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization. - Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy:
Bridging machine learning and cryptography in defence against adversarial attacks. - Bahman Kalantari, Chun Lau:
The Multilinear Minimax Relaxation of Bimatrix Games and Comparison with Nash Equilibria via Lemke-Howson. - Gregg Helt:
Extending Mandelbox Fractals with Shape Inversions. - Ismail Shahin, Ali Bou Nassif:
Three-Stage Speaker Verification Architecture in Emotional Talking Environments. - Maciej Pesko, Tomasz Trzcinski:
Neural Comic Style Transfer: Case Study. - Eirina Bourtsoulatze, David Burth Kurka, Deniz Gündüz:
Deep Joint Source-Channel Coding for Wireless Image Transmission. - Hussein Saad, Aria Nosratinia:
Recovering a Single Community with Side Information. - Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
A deep learning approach for Magnetic Resonance Fingerprinting. - Azade Fotouhi, Haoran Qiang, Ming Ding, Mahbub Hassan, Lorenzo Galati-Giordano, Adrian García-Rodríguez, Jinhong Yuan:
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges. - Aditya Asgaonkar, Bhaskar Krishnamachari:
Token Curated Registries - A Game Theoretic Approach. - Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Multi-finger binary search trees. - Roger A. Stein, Patrícia Augustin Jaques, João Francisco Valiati:
An Analysis of Hierarchical Text Classification Using Word Embeddings. - Tianle Ma, Aidong Zhang:
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis. - Mahmoud Nabil, Muhammad Ismail, Mohamed Mahmoud, Mostafa Ali Shahin, Khalid A. Qaraqe, Erchin Serpedin:
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters. - Wenchi Ma, Yuanwei Wu, Zongbo Wang, Guanghui Wang:
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection. - Cheuk Ting Li, Venkat Anantharam:
One-Shot Variable-Length Secret Key Agreement Approaching Mutual Information. - Nirupam Gupta, Jonathan Katz, Nikhil Chopra:
Information-Theoretic Privacy in Distributed Average Consensus. - Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight:
Describing a Knowledge Base. - Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. - Shiqi Liu
, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng:
Discovering Influential Factors in Variational Autoencoder. - Kory W. Mathewson, Piotr Mirowski:
Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre. - Carlos Murguia
, Iman Shames, Justin Ruths, Dragan Nesic:
Security Metrics of Networked Control Systems under Sensor Attacks (extended preprint). - Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. - Zhuang Ma, Michael Collins:
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency. - Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach:
Visual Coreference Resolution in Visual Dialog using Neural Module Networks. - Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville:
Improving Explorability in Variational Inference with Annealed Variational Objectives. - Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec:
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. - Dooseop Choi, Taeg-Hyun An, Kyounghwan Ahn, Jeongdan Choi:
Driving Experience Transfer Method for End-to-End Control of Self-Driving Cars. - Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. - Adrian Santos, Jaroslav Spisak, Markku Oivo, Natalia Juristo:
Improving Development Practices through Experimentation: an Industrial TDD Case. - Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Sequence Classification Neural Networks. - Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
:
How to Combine Tree-Search Methods in Reinforcement Learning. - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Unsupervised Learning of View-invariant Action Representations. - Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki, Jiaqian Yu:
Yes, IoU loss is submodular - as a function of the mispredictions. - Zuzana Majdisova, Václav Skala, Michal Smolik:
Determination of Stationary Points and Their Bindings in Dataset using RBF Methods. - Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. - Jetic Gu, Hassan Shavarani, Anoop Sarkar:
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing. - Congzhe Cao, Duanshun Li, Ivan J. Fair:
Deep Learning-Based Decoding for Constrained Sequence Codes. - Ikram Boukhedimi
, Abla Kammoun, Mohamed-Slim Alouini
:
LMMSE Receivers in Uplink Massive MIMO Systems with Correlated Rician Fading. - Wei Wang, Xucheng Li:
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework. - Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida:
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks. - Laurent Viennot, Yacine Boufkhad, Leonardo Linguaglossa, Fabien Mathieu, Diego Perino:
Efficient Loop Detection in Forwarding Networks and Representing Atoms in a Field of Sets. - João R. Campos, Marco Vieira, Ernesto Costa:
Propheticus: Generalizable Machine Learning Framework. - Janus Asmussen, Joe Alexandersen, Ole Sigmund, Casper Schousboe Andreasen:
A "poor man's" approach to topology optimization of natural convection problems. - Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar:
Model-Based Stabilisation of Deep Reinforcement Learning. - Kshitij Tiwari:
Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I. - Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. - Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun:
Disentangled Variational Representation for Heterogeneous Face Recognition. - Lucas Gren:
Standards of Validity and the Validity of Standards in Behavioral Software Engineering Research: The Perspective of Psychological Test Theory. - Shaojie Jiang, Maarten de Rijke:
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. - Augusto Luis Ballardini:
A tutorial on Particle Swarm Optimization Clustering. - Yiqun Yao, Jiaming Xu, Feng Wang, Bo Xu:
Cascaded Mutual Modulation for Visual Reasoning. - Siegfried Cools:
Analyzing and improving maximal attainable accuracy in the communication hiding pipelined BiCGStab method. - Nima Akhlaghi, Ananya S. Dhawan, Amir A. Khan, Biswarup Mukherjee, Cecile Truong, Siddhartha Sikdar:
Sparsity Analysis of a Sonomyographic Muscle-Computer Interface. - Patrick Metzler, Habib Saissi, Péter Bokor, Neeraj Suri
:
Safe Execution of Concurrent Programs by Enforcement of Scheduling Constraints. - Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. - Diego Esteves:
Named Entity Recognition on Noisy Data using Images and Text (1-page abstract). - Vero Estrada-Galiñanes, Katarzyna Wac:
Visions and Challenges in Managing and Preserving Data to Measure Quality of Life. - Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, Antoine Bordes:
Training Millions of Personalized Dialogue Agents. - Vijay Anand, Vivek Kanhangad:
Pore detection in high-resolution fingerprint images using Deep Residual Network. - Jun Beom Kho:
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks. - Fabrizio Sebastiani:
Evaluation Measures for Quantification: An Axiomatic Approach. - Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos:
Dense Pose Transfer. - Hang Xiao, Feng Wang, Jianfeng Yan, Jingyao Zheng:
Dual Ask-Answer Network for Machine Reading Comprehension. - Irena Rusu:
Min (A)cyclic Feedback Vertex Sets and Min Ones Monotone 3-SAT. - David Ha, Jürgen Schmidhuber:
Recurrent World Models Facilitate Policy Evolution. - Olivia Wiles, Andrew Zisserman:
3D Surface Reconstruction by Pointillism. - Li Jun Heng, Wang Yong Weiwei:
Robust H-infinity Adaptive Fuzzy Approach for Unknown Nonlinear Networked Systems. - Linan Huang, Quanyan Zhu:
Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception. - Grace Villacrés, Tobias Koch, Aydin Sezgin, Gonzalo Vazquez-Vilar:
Robust Signaling for Bursty Interference. - Himangshu Kalita, Roberto Furfaro, Jekan Thangavelautham:
Satellite Capture and Servicing Using Networks of Tethered Robots Supported by Ground Surveillance. - David Folqué, Sainbayar Sukhbaatar, Arthur Szlam, Joan Bruna:
Planning with Arithmetic and Geometric Attributes. - Tristan Aumentado-Armstrong
:
Latent Molecular Optimization for Targeted Therapeutic Design. - Johnny Tian-Zheng Wei, Khiem Pham, Brian Dillon, Brendan O'Connor:
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation. - Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. - Steven D. Morad, Ravi Teja Nallapu, Himangshu Kalita, Byon Kwon, Vishnu Reddy, Roberto Furfaro, Erik Asphaug, Jekan Thangavelautham:
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects. - Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang:
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation. - Maurizio Ferrari Dacrema
, Paolo Cremonesi:
Eigenvalue analogy for confidence estimation in item-based recommender systems. - Jeong Joon Park, Richard A. Newcombe, Steven M. Seitz:
Surface Light Field Fusion. - Chenshen Wu, Luis Herranz
, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. - Lionel Blondé, Alexandros Kalousis:
Sample-Efficient Imitation Learning via Generative Adversarial Nets. - Ming Li, Dianhui Wang:
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. - Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang:
Deep learning for in vitro prediction of pharmaceutical formulations. - Sameera Lanka, Tianfu Wu:
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay. - Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier, David-Alexandre Beaupré:
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector. - Chuanyu Yang, Taku Komura, Zhibin Li:
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning. - Zilong Lin, Yong Shi, Zhi Xue:
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection. - Tong Niu, Mohit Bansal:
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. - Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre:
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation. - Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein:
Are adversarial examples inevitable? - Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. - Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Deep Audio-Visual Speech Recognition. - Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network. - Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. - Jakob Diebold, Philipp Diebold, Arthur Vetter:
Agile meets Assessments: Case Study on how to do Agile Process Improvement in a Very Small Enterprise. - Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low Complexity Detection Algorithm Based on Alternating Minimization. - Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor:
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. - Carlos Esteves
, Kostas Daniilidis, Ameesh Makadia:
Labeling Panoramas with Spherical Hourglass Networks. - Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. - Simen Eide, Ning Zhou:
Deep neural network marketplace recommenders in online experiments. - Simen Eide, Audun M. Øygård, Ning Zhou:
Five lessons from building a deep neural network recommender. - Alexia Jolicoeur-Martineau:
GANs beyond divergence minimization. - Amrith Krishna, Bodhisattwa Prasad Majumder, Rajesh Shreedhar Bhat, Pawan Goyal:
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit. - Robert Short
, Alan Hylton:
A Topological Kinematic Workspace Analysis of the Canfield Joint. - Muhammad Saad, Aminollah Khormali, Aziz Mohaisen:
End-to-End Analysis of In-Browser Cryptojacking. - Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. - Junhong Ye, Ying Jun (Angela) Zhang:
DRAG: Deep Reinforcement Learning Based Base Station Activation in Heterogeneous Networks. - Nuno P. Lopes, John Regehr:
Future Directions for Optimizing Compilers. - Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie:
Escaping Saddle Points in Constrained Optimization. - Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. - Giulio Romualdi, Stefano Dafarra, Yue Hu, Daniele Pucci:
A Benchmarking of DCM Based Architectures for Position and Velocity Controlled Walking of Humanoid Robots. - Mohsan S. Alvi, Andrew Zisserman, Christoffer Nellåker:
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings. - Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Multi-Adversarial Domain Adaptation. - Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Inference for Exponential Families. - Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel:
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. - Simson L. Garfinkel, John M. Abowd, Sarah Powazek:
Issues Encountered Deploying Differential Privacy. - Andrea Munari, Ljiljana Simic, Marina Petrova:
Stochastic Geometry Interference Analysis of Radar Network Performance. - Akshat Agarwal, Ryan M. Hope, Katia P. Sycara:
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark. - Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb:
Assessing Gender Bias in Machine Translation - A Case Study with Google Translate. - Chai Wah Wu:
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions. - Chuhan Min, Aosen Wang, Yiran Chen, Wenyao Xu, Xin Chen:
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy. - Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Neural Machine Translation. - Vedrana Andersen Dahl, Camilla Himmelstrup Trinderup, Monica Jane Emerson, Anders Bjorholm Dahl:
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images. - Linan Huang, Quanyan Zhu:
Adaptive Strategic Cyber Defense for Advanced Persistent Threats in Critical Infrastructure Networks. - A. A. Smagina, Denis A. Shepelev, Egor I. Ershov, Anton S. Grigoryev:
Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis. - Ning li, Sai Kumar Arava, Chen Dong, Zhenyu Yan, Abhishek Pani:
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution. - Linan Huang, Juntao Chen, Quanyan Zhu:
Distributed and Optimal Resilient Planning of Large-Scale Interdependent Critical Infrastructures. - Matthew Guzdial, Mark O. Riedl:
Automated Game Design via Conceptual Expansion. - Tommaso Polonelli, Davide Brunelli, Luca Benini:
Slotted ALOHA Overlay on LoRaWAN: a Distributed Synchronization Approach. - Yan Shvartzshnaider, Noah J. Apthorpe, Nick Feamster, Helen Nissenbaum:
Analyzing Privacy Policies Using Contextual Integrity Annotations. - Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, Sara Stymne:
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. - Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie
:
Hypergames and Cyber-Physical Security for Control Systems. - Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Learning Optimal Fair Policies. - Darsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov:
Adversarial Domain Adaptation for Duplicate Question Detection. - Jiang Guo, Darsh J. Shah, Regina Barzilay:
Multi-Source Domain Adaptation with Mixture of Experts. - David Marwood, Pascal Massimino, Michele Covell, Shumeet Baluja:
Representing Images in 200 Bytes: Compression via Triangulation. - Brian Shay, Patrick Brazil:
The Force of Proof by Which Any Argument Prevails. - Yucheng Fu, Yang Liu:
BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images. - Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li:
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks. - Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding:
edge2vec: Learning Node Representation Using Edge Semantics. - Shudan Zhong, Hong Xu:
Learning Embeddings of Directed Networks with Text-Associated Nodes - with Applications in Software Package Dependency Networks. - David G. Harris, Shi Li, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Approximation algorithms for stochastic clustering. - Mohammad Zaeri-Amirani, Fatemeh Afghah, Jonathan D. Ashdown:
Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers. - Douglas Turnbull, Luke Waldner:
Local Music Event Recommendation with Long Tail Artists. - Jihun Choi, Taeuk Kim, Sang-goo Lee:
Cell-aware Stacked LSTMs for Modeling Sentences. - Shant Boodaghians, Rucha Kulkarni, Ruta Mehta:
Nash Equilibrium in Smoothed Polynomial Time for Network Coordination Games. - Heba Elgazzar, Adel Elmaghraby:
Evolutionary Centrality and Maximal Cliques in Mobile Social Networks. - Yuepeng Wang, Xinyu Wang, Isil Dillig:
Relational Program Synthesis. - Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee:
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations. - Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. - Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon:
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. - Roozbeh Ketabi, Babak Alipour, Ahmed Helmy:
Playing with Matches: Vehicular Mobility through Analysis of Trip Similarity and Matching. - Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He:
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. - Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. - Takashi Wada, Tomoharu Iwata:
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models. - Kaito Fujii, Tasuku Soma:
Fast greedy algorithms for dictionary selection with generalized sparsity constraints. - Soumi Chattopadhyay, Ansuman Banerjee:
QoS aware Automatic Web Service Composition with Multiple objectives. - Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez:
Scaling Video Analytics Systems to Large Camera Deployments. - Ali Marzoughi:
Collision Free Navigation of a Multi-Robot Team for Intruder Interception. - Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
ADM for grid CRF loss in CNN segmentation. - Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Steve B. Jiang, Jing Wang:
Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. - Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. - Parth Mehta, Prasenjit Majumder:
Exploiting local and global performance of candidate systems for aggregation of summarization techniques. - Marios Meimaris, George Papastefanatos:
Hierarchical Characteristic Set Merging for Optimizing SPARQL Queries in Heterogeneous RDF. - Matteo Ceccarello, Anne Driemel, Francesco Silvestri:
FRESH: Fréchet Similarity with Hashing. - Lucas Gren, Alessia Knauss, Christoph Johann Stettina:
Non-Technical Individual Skills are Weakly Connected to the Maturity of Agile Practices. - Xiaolu Zhang, Shiwan Zhao, Lingxi Xie:
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images. - Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. - Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo:
On2Vec: Embedding-based Relation Prediction for Ontology Population. - Haruo Hosoya:
A simple probabilistic deep generative model for learning generalizable disentangled representations from grouped data. - Yubin Deng, Ke Yu, Dahua Lin, Xiaoou Tang, Chen Change Loy:
Improving On-policy Learning with Statistical Reward Accumulation. - Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung:
Improving Neural Question Generation using Answer Separation. - Hansheng Xue, Jiajie Peng, Xuequn Shang:
Deep Feature Learning of Multi-Network Topology for Node Classification. - Basak Sakcak, Luca Bascetta, Gianni Ferretti, Maria Prandini:
Sampling-based optimal kinodynamic planning with motion primitives. - Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. - Arindam Ghosh, Harpreet S. Dhillon:
Performance Analysis of MRC under Spatially Correlated Interference using Mixture-based Method. - Daniel Hienert, Maria Lusky:
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search. - Daniel Hienert, Dagmar Kern:
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search. - Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah:
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper. - Daniel Hienert, Peter Mutschke:
Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches. - Andrea Orlandini, Martin Zimmermann
:
Proceedings Ninth International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2018, Saarbrücken, Germany, 26-28th September 2018. EPTCS 277, 2018 [contents] - Alwin Zulehner, Michael P. Frank, Robert Wille:
Design Automation for Adiabatic Circuits. - Johannes Bjerva:
Multitask and Multilingual Modelling for Lexical Analysis. - Rainer Schlosser, Martin Boissier:
Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. - Riccardo Dondi, Mohammad Mehdi Hosseinzadeh, Giancarlo Mauri, Italo Zoppis:
Top-k Overlapping Densest Subgraphs: Approximation and Complexity. - Ali Parsai, Serge Demeyer:
Dynamic Mutant Subsumption Analysis using LittleDarwin. - Thorsten Götte, Christian Scheideler, Alexander Setzer:
On Underlay-Aware Self-Stabilizing Overlay Networks. - Hugo Richard, Ana Luísa Pinho
, Bertrand Thirion, Guillaume Charpiat
:
Optimizing deep video representation to match brain activity. - Jangho Kim, Jeesoo Kim, Nojun Kwak:
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. - Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong:
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. - Oleg Finko, Sergey A. Dichenko, Dmitriy Samoylenko:
Secure Generators of q-valued Pseudo-Random Sequences on Arithmetic Polynomials. - Baldomero Coll-Perales, Javier Gozálvez, Marco Gruteser:
Sub-6GHz Assisted MAC for Millimeter Wave Vehicular Communications. - Dmitriy Samoylenko, Mikhail Eremeev, Oleg Finko, Sergey A. Dichenko:
Protection of Information from Imitation on the Basis of Crypt-Code Structures. - Xunhua Dai, Quan Quan, Jinrui Ren, Kai-Yuan Cai:
An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance. - Muhammad Zain Amin, Noman Nadeem:
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System. - Duong Nguyen, Fragkiskos D. Malliaros:
BiasedWalk: Biased Sampling for Representation Learning on Graphs. - Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. - Erfan Nozari, Jorge Cortés:
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part II: Inter-Layer Dynamics and Top-Down Recruitment. - Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter, José Maria Alonso, Albert Gatt
:
Meteorologists and Students: A resource for language grounding of geographical descriptors. - Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. - Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. - Pawel Gawrychowski, Tatiana Starikovskaya:
Streaming dictionary matching with mismatches. - David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data. - Steven Derby, Paul Miller, Brian Murphy, Barry Devereux:
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge. - Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji:
A Deeper Look at 3D Shape Classifiers. - Seong-Ho Kwon, Hyo-Sung Ahn:
Generalized weak rigidity: Theory, and local and global convergence of formations. - Shunsuke Kitada, Hitoshi Iyatomi:
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. - Jeffrey M. Shainline:
The largest cognitive systems will be optoelectronic. - Gushu Li, Yufei Ding, Yuan Xie:
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. - Shuang Song, Susan Little, Sanjay Mehta, Staal Amund Vinterbo, Kamalika Chaudhuri:
Differentially Private Continual Release of Graph Statistics. - Pedro Morgado, Nuno Vasconcelos, Timothy R. Langlois, Oliver Wang:
Self-Supervised Generation of Spatial Audio for 360 Video. - Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha Pratim Talukdar:
HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification. - Remi Tachet des Combes, Philip Bachman, Harm van Seijen:
Learning Invariances for Policy Generalization. - Yihao Fang, Rong Zheng, Xiaodan Zhu:
Logographic Subword Model for Neural Machine Translation. - Carlos San Vicente Gutiérrez, Lander Usategui San Juan, Irati Zamalloa Ugarte, Victor Mayoral Vilches:
Towards a distributed and real-time framework for robots: Evaluation of ROS 2.0 communications for real-time robotic applications. - Mohammad Amir Dastgheib, Hamzeh Beyranvand, Jawad A. Salehi, Martin Maier:
Mobility-Aware Resource Allocation in VLC Networks Using T-Step Look-Ahead Policy. - Stephen Whitelam:
Simple coarse graining and sampling strategies for image recognition. - Junran Peng, Lingxi Xie, Zhaoxiang Zhang, Tieniu Tan, Jingdong Wang:
Accelerating Deep Neural Networks with Spatial Bottleneck Modules. - Zakaria Elmrabet, Hassan El Ghazi, Naima Kaabouch, Hamid El Ghazi:
Cyber-Security in Smart Grid: Survey and Challenges. - Mouhammd Alkasassbeh, Mohammad Almseidin:
Machine Learning Methods for Network Intrusion Detection. - Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Eshraq Al-Hawari:
Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques. - Harold Erbin
, Sven Krippendorf:
GANs for generating EFT models. - Fabrizio Biondi, Yusuke Kawamoto, Axel Legay, Louis-Marie Traonouez:
Hybrid Statistical Estimation of Mutual Information and its Application to Information Flow. - Arthur Juliani, Vincent-Pierre Berges, Esh Vckay, Yuan Gao, Hunter Henry, Marwan Mattar, Danny Lange:
Unity: A General Platform for Intelligent Agents. - Daniel Genkin, Mihir Pattani, Roei Schuster, Eran Tromer:
Synesthesia: Detecting Screen Content via Remote Acoustic Side Channels. - Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. - Panagiotis Antonopoulos, Arvind Arasu, Ken Eguro, Joachim Hammer, Raghav Kaushik, Donald Kossmann, Ravi Ramamurthy, Jakub Szymaszek:
Pushing the Limits of Encrypted Databases with Secure Hardware. - Dekel Tsur:
Parameterized algorithm for 3-path vertex cover. - Vrindavan Harrison, Marilyn A. Walker:
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features. - Nathan O. Hodas, Jacob S. Hunter, Stephen J. Young, Kristina Lerman:
Model of Cognitive Dynamics Predicts Performance on Standardized Tests. - Wenlu Wang, Yingtao Tian, Hongyu Xiong
, Haixun Wang, Wei-Shinn Ku:
A Transfer-Learnable Natural Language Interface for Databases. - Samiran Ganguly, Yunfei Gu, Yunkun Xie, Mircea R. Stan, Avik W. Ghosh, Nibir K. Dhar:
Reservoir Computing based Neural Image Filters. - Harris Chan, Atef Chaudhury, Kevin Shen:
Are You Sure You Want To Do That? Classification with Verification. - Nancy A. Arellano-Arriaga, Julián Molina, Satu Elisa Schaeffer, Ada Margarita Alvarez Socarrás, Iris Martínez-Salazar:
Complexity of MLDP. - Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo:
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning. - Axel Kerinec, Giulio Manzonetto, Michele Pagani:
Revisiting Call-by-value Bohm trees in light of their Taylor expansion. - Sanghyun Choi, Nikita Ivkin, Vladimir Braverman, Michael A. Jacobs:
DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results. - Fande Kong, Roy H. Stogner, Derek Gaston, John W. Peterson, Cody J. Permann, Andrew E. Slaughter, Richard C. Martineau:
A general-purpose hierarchical mesh partitioning method with node balancing strategies for large-scale numerical simulations. - Thibault Févry, Jason Phang:
Unsupervised Sentence Compression using Denoising Auto-Encoders. - Jose Faleiro:
Automating Truth: The Case for Crowd-Powered Scientific Investigation in Economics. - Paul Gölz, Ariel D. Procaccia:
Migration as Submodular Optimization. - Behrad Toghi, Md Saifuddin, Muhammad Ozair Mughal, Hossein Nourkhiz Mahjoub, Yaser P. Fallah, Jayanthi Rao, Sushanta Das:
Multiple Access in Cellular V2X: Performance Analysis in Highly Congested Vehicular Networks. - Chinmoy Dutta:
When Hashing Met Matching: Efficient Search for Potential Matches in Ride Sharing. - Zhedong Zheng, Liang Zheng, Zhilan Hu, Yi Yang:
Open Set Adversarial Examples. - Ran Ding, Ramesh Nallapati, Bing Xiang:
Coherence-Aware Neural Topic Modeling. - Ishai Menache, Sebastian Perez-Salazar, Mohit Singh, Alejandro Toriello:
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency. - Cheng Chi
, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou:
Selective Refinement Network for High Performance Face Detection. - Longtu Zhang, Mamoru Komachi:
Neural Machine Translation of Logographic Languages Using Sub-character Level Information. - Yizhi Liu, Yao Wang, Ruofei Yu, Mu Li, Vin Sharma, Yida Wang:
Optimizing CNN Model Inference on CPUs. - Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. - Eric Wallace, Pedro Rodriguez, Shi Feng, Jordan L. Boyd-Graber:
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. - Reza M. Parizi, Ali Dehghantanha, Kim-Kwang Raymond Choo, Amritraj Singh:
Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains. - Tianyu Liu:
Torpid Mixing of Markov Chains for the Six-vertex Model on ℤ2. - Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. - Liyu Gong, Qiang Cheng:
Adaptive Edge Features Guided Graph Attention Networks. - Philipp Kindermann, Boris Klemz, Ignaz Rutter, Patrick Schnider
, André Schulz:
The Partition Spanning Forest Problem. - Yucheng Lu, Xudong Wu, Jingfan Meng, Luoyi Fu, Xinbing Wang:
BLAG: Bandit On Large Action Set Graph. - Francesca Lonetti, Eda Marchetti:
On-line tracing of XACML-based policy coverage criteria. - Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed:
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking. - Jin Sima, Netanel Raviv, Jehoshua Bruck:
On Coding over Sliced Information. - Sreenivas Gollapudi, Kostas Kollias, Ali Shameli:
Cost Sharing in Two-Sided Markets. - Haohan Wang, Da Sun, Eric P. Xing:
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks. - Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi:
Learning to Solve NP-Complete Problems - A Graph Neural Network for the Decision TSP. - Antonia Bertolino, Said Daoudagh, Francesca Lonetti, Eda Marchetti:
An automated model-based test oracle for access control systems. - Justin Chan, Anran Wang, Vikram Iyer, Shyamnath Gollakota:
Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices. - Richeng Jin, Xiaofan He, Huaiyu Dai:
Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent. - Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler:
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data. - Shuai Tang, Virginia R. de Sa:
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning. - Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan, Chin-Yew Lin:
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation. - David Minnen, Johannes Ballé, George Toderici:
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. - Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. - Yan Xia, Yang Zhang, Dingfu Zhou, Xinyu Huang, Cheng Wang, Ruigang Yang:
RealPoint3D: Point Cloud Generation from a Single Image with Complex Background. - Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
On the Calibration of Nested Dichotomies for Large Multiclass Tasks. - Hiroshi Kajino:
Molecular Hypergraph Grammar with its Application to Molecular Optimization. - Martin Erwig:
Typed Table Transformations. - Sushant Veer, Ioannis Poulakakis:
Ultimate Boundedness for Switched Systems with Multiple Equilibria Under Disturbances. - Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen
, Eryk Dutkiewicz
, Dusit Niyato, Ping Wang:
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning. - Negar Mehr, Ruolin Li, Roberto Horowitz:
A Game Theoretic Macroscopic Model of Bypassing at Traffic Diverges with Applications to Mixed Autonomy Networks. - Ruixuan Luo:
Exploration on Grounded Word Embedding: Matching Words and Images with Image-Enhanced Skip-Gram Model. - Utkarsh Contractor, Chinmayi Dixit, Deepti Mahajan:
CNNs for Surveillance Footage Scene Classification. - Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. - Masaki Inoue, Vijay Gupta:
Weak Control for Human-in-the-loop Systems. - Tianyang Wang, Jun Huan, Michelle Zhu:
Instance-based Deep Transfer Learning. - Hao Xu, Cunhua Pan, Wei Xu, Jianfeng Shi, Ming Chen, Wei Heng:
Improving Wireless Physical Layer Security via D2D Communication. - Dimitris Mostrous, Vasco T. Vasconcelos:
Affine Sessions. - Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah:
Sentiment analysis for Arabic language: A brief survey of approaches and techniques. - Dan Peng, Zizhan Zheng, Xiaofeng Zhang:
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples. - Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal:
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. - Chao Wang, Hui Jiang:
Simplified Hierarchical Recurrent Encoder-Decoder for Building End-To-End Dialogue Systems. - Yaqi Liu, Xianfeng Zhao, Xiaobin Zhu, Yun Cao:
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution. - Travis Gagie, Gonzalo Navarro, Nicola Prezza:
Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space. - Zhuosheng Zhang, Yuwei Wu, Zuchao Li, Hai Zhao:
Explicit Contextual Semantics for Text Comprehension. - Zhuosheng Zhang, Shexia He, Zuchao Li, Hai Zhao:
Attentive Semantic Role Labeling with Boundary Indicator. - Gao Xu, Yongming Zhang, Qixing Zhang, Gaohua Lin, Yang Jia, Jinjun Wang:
Video Smoke Detection Based on Deep Saliency Network. - Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou:
Handling Concept Drift via Model Reuse. - Jialin Wu, Raymond J. Mooney:
Faithful Multimodal Explanation for Visual Question Answering. - Nian Li, Qiaoyu Hu:
A conjecture on permutation trinomials over finite fields of characteristic two. - Zacarias Curi, Alceu de Souza Britto Jr., Emerson Cabrera Paraiso:
Multi-label Classification of User Reactions in Online News. - Sebastian Baltes, Christoph Treude, Stephan Diehl:
SOTorrent: Studying the Origin, Evolution, and Usage of Stack Overflow Code Snippets. - Yingjie Hu, Xinyue Ye, Shih-Lung Shaw:
Extracting and Analyzing Semantic Relatedness between Cities Using News Articles. - Yingjie Hu, Huina Mao, Grant McKenzie:
A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements. - Nikolaos Pappas:
Performance Analysis of a System with Bursty Traffic and Adjustable Transmission Times. - Lei Deng, Wing Shing Wong, Po-Ning Chen, Yunghsiang S. Han, Hanxu Hou:
Delay-Constrained Input-Queued Switch. - Noga Alon, Jonathan D. Cohen, Thomas L. Griffiths, Pasin Manurangsi, Daniel Reichman, Igor Shinkar, Tal Wagner, Alexander Y. Ku:
Multitasking Capacity: Hardness Results and Improved Constructions. - Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz, Simon Mendelsohn:
Context-Free Transductions with Neural Stacks. - Linfeng Liu, Liping Liu:
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes. - (Withdrawn) Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform.
- Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel:
Neural Guided Constraint Logic Programming for Program Synthesis. - Stefan S. Dantchev, Nicola Galesi, Barnaby Martin:
Resolution and the binary encoding of combinatorial principles. - Georgi Tinchev, Simona Nobili, Maurice F. Fallon:
Seeing the Wood for the Trees: Reliable Localization in Urban and Natural Environments. - Eric Wallace, Shi Feng, Jordan L. Boyd-Graber:
Interpreting Neural Networks With Nearest Neighbors. - Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga:
Rate-Adaptive Neural Networks for Spatial Multiplexers. - Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin:
Online Mutual Foreground Segmentation for Multispectral Stereo Videos. - Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little:
Learning Sports Camera Selection from Internet Videos. - Amr S. El-Wakeel, Aboelmagd Noureldin, Hossam S. Hassanein, Nizar Zorba:
iDriveSense: Dynamic Route Planning Involving Roads Quality Information. - Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. - Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli:
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. - Carl Anderson:
A survey of food recommenders. - Kfir Y. Levy, Alp Yurtsever, Volkan Cevher:
Online Adaptive Methods, Universality and Acceleration. - Ziran Wang, Guoyuan Wu, Matthew J. Barth:
A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications. - Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski:
Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. - Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng David Gu:
Brain Morphometry Analysis with Surface Foliation Theory. - Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Person Re-identification by Deep Learning Tracklet Association. - Saumya Kumaar Saksena, Abhinandan Dogra, Abrar Majeedi, Hanan Gani, Ravi M. Vishwanath, S. N. Omkar:
A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild. - Zachary E. Ross, Yisong Yue, Men-Andrin Meier, Egill Hauksson, Thomas H. Heaton:
PhaseLink: A Deep Learning Approach to Seismic Phase Association. - Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. - Waqar Ahmad, Imran Hafeez Abbassi, Usman Sanwal, Hasan Mahmood:
Accelerating Viterbi Algorithm using Custom Instruction Approach. - Shujun Li, Anthony T. S. Ho, Zichi Wang, Xinpeng Zhang:
Lost in the Digital Wild: Hiding Information in Digital Activities. - Dalin Zhu, Ralf M. Bendlin, Salam Akoum, Arunabha Ghosh, Robert W. Heath Jr.:
Directional Frame Timing Synchronization in Wideband Millimeter-Wave Systems with Low-Resolution ADCs. - Ali Zamani, Mahdi Khorram, S. Ali A. Moosavian:
Stable Stair-Climbing of a Quadruped Robot. - Jian-Jia Chen, Georg von der Brüggen, Junjie Shi, Niklas Ueter:
Dependency Graph Approach for Multiprocessor Real-Time Synchronization. - Mohammad Vahid Jamali, Seyed Mohammad Azimi-Abarghouyi, Hessam Mahdavifar:
Outage Probability Analysis of Uplink NOMA over Ultra-High-Speed FSO-Backhauled Systems. - Chao Chen, Sen Yang, Weichen Liu, Yasha Wang, Bin Guo, Daqing Zhang:
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. - Matthew Stephenson, Damien Anderson, Ahmed Khalifa, John Levine, Jochen Renz, Julian Togelius, Christoph Salge:
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking. - Xiuyan Sha, Zeshui Xu, Chuancun Yin:
Elliptical Distributions-Based Weights-Determining Method for OWA Operators. - Tsang-Kai Chang, Ankur Mehta:
Mammalian Brain Inspired Localization Algorithms with von Mises Distributions. - Meng Zhang, Lin Gao, Jianwei Huang, Michael L. Honig:
Hybrid Pricing for Mobile Collaborative Internet Access. - Weiwen Liu, Robin Burke:
Personalizing Fairness-aware Re-ranking. - Dorottya Demszky, Kelvin Guu, Percy Liang:
Transforming Question Answering Datasets Into Natural Language Inference Datasets. - Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson:
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. - Liting Sun, Wei Zhan, Masayoshi Tomizuka:
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning. - Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka:
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. - Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. - Zhun Fan, Jiewei Lu, Ce Zheng, Jingan Feng, Longtao Huang, Wenji Li, Erik D. Goodman:
Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications. - Victor L. Selivanov:
Well Quasiorders and Hierarchy Theory. - Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee:
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information. - Siu-Wing Cheng, Otfried Cheong, Taegyoung Lee:
Fitting a Graph to One-Dimensional Data. - Carey Ming-Li Chen, Wen-Yau Cathy Lin:
What indicators matter? The Analysis of Perception toward Research Assessment Indicators and Leiden Manifesto- The Case Study of Taiwan. - Jason Moulton, Nare Karapetyan, Alberto Quattrini Li, Ioannis M. Rekleitis:
External Force Field Modeling for Autonomous Surface Vehicles. - Christian Sohler, David P. Woodruff:
Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension. - Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. - Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He:
Geometry-Aware Face Completion and Editing. - Boris Ryabko:
Time-universal data compression and prediction. - Yuming Hu, Yi Zhong, Wenyi Zhang:
Age of Information in Poisson Networks. - Jun Fu, Jing Liu, Haijie Tian, Zhiwei Fang, Hanqing Lu:
Dual Attention Network for Scene Segmentation. - Sagarnil Das:
Simultaneous Localization and Mapping (SLAM) using RTAB-MAP. - Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. - Alexandr Andoni, Robert Krauthgamer, Yosef Pogrow:
On Solving Linear Systems in Sublinear Time. - Pablo Rubén Fillottrani, C. Maria Keet:
Evidence-based lean logic profiles for conceptual data modelling languages. - Sajad Daei, Farzan Haddadi, Arash Amini:
Distribution-aware Block-sparse Recovery via Convex Optimization. - Kai Yuanqing Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah, Aleksander Madry:
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability. - Zhongliang Yang, Xueshun Peng, Yongfeng Huang, Chinchen Chang:
A novel method of speech information hiding based on 3D-Magic Matrix. - Vutha Va, Takayuki Shimizu, Gaurav Bansal, Robert W. Heath Jr.:
Online Learning for Position-Aided Millimeter Wave Beam Training. - Lena Reed, Shereen Oraby, Marilyn A. Walker:
Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? - Sohom Mukherjee, Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos. - Samet Oymak:
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations. - Lucas V. A. Caldas, Antônio Fernando Lavareda Jacob Jr., Simone S. C. Silva, Fernando A. R. Pontes, Fábio Manoel França Lobato:
Development of a Social Network for Research Support and Individual Well-being Improvement. - Molka Elleuch, Antonia Wachter-Zeh, Alexander Zeh:
A Public-Key Cryptosystem from Interleaved Goppa Codes. - Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. - Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee:
Fairness-Aware Recommendation of Information Curators. - Alexander Kuhnle, Huiyuan Xie, Ann A. Copestake:
How clever is the FiLM model, and how clever can it be? - M. R. Zarei, M. R. Moosavi:
A Social Recommender System based on Bhattacharyya Coefficient. - Vladimir Druskin, Alexander V. Mamonov, Mikhail Zaslavsky:
Clustering of graph vertex subset via Krylov subspace model reduction. - Dafang He, Xiao Yang, Daniel Kifer, C. Lee Giles:
TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade. - Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli:
Attentional Multi-Reading Sarcasm Detection. - Binnan Zhuang, Dongning Guo, Ermin Wei, Michael L. Honig:
Large-Scale Spectrum Allocation for Cellular Networks via Sparse Optimization. - Türker Tuncer:
LDW-SCSA: Logistic Dynamic Weight based Sine Cosine Search Algorithm for Numerical Functions Optimization. - Shiva Taslimipoor, Omid Rohanian:
SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation. - Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling:
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. - Sören Mindermann, Rohin Shah, Adam Gleave, Dylan Hadfield-Menell:
Active Inverse Reward Design. - Julius Berner, Philipp Grohs, Arnulf Jentzen:
Analysis of the generalization error: Empirical risk minimization over deep artificial neural networks overcomes the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations. - Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody
:
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. - Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen:
Learning in time-varying games. - Christopher Potts:
A case for deep learning in semantics. - (Withdrawn) Mobile Collaborative Spectrum Sensing for Heterogeneous Networks: A Bayesian Machine Learning Approach.
- Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing:
Sample Complexity of Nonparametric Semi-Supervised Learning. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. - Yusuke Narita, Shota Yasui, Kohei Yata:
Efficient Counterfactual Learning from Bandit Feedback. - Arno Pauly:
Parameterized Games and Parameterized Automata. 30-42 - Federico Aschieri, Agata Ciabattoni
, Francesco A. Genco:
Classical Proofs as Parallel Programs. 43-57 - Éric Goubault, Jérémy Ledent, Sergio Rajsbaum:
A Simplicial Complex Model for Dynamic Epistemic Logic to study Distributed Task Computability. 73-87 - Lisette Sanchez, Wieger Wesselink, Tim A. C. Willemse:
A Comparison of BDD-Based Parity Game Solvers. 103-117 - Petra van den Bos, Mariëlle Stoelinga
:
Tester versus Bug: A Generic Framework for Model-Based Testing via Games. 118-132 - A. R. Balasubramanian
:
Parameterized Verification of Coverability in Well-Structured Broadcast Networks. 133-146 - Michele Chiari
, Dino Mandrioli, Matteo Pradella
:
Temporal Logic and Model Checking for Operator Precedence Languages. 161-175 - Luca Geatti
, Nicola Gigante
, Angelo Montanari, Mark Reynolds
:
One-Pass and Tree-Shaped Tableau Systems for TPTL and TPTLb+Past. 176-190 - Laura Bozzelli, Alberto Molinari, Angelo Montanari, Adriano Peron:
Complexity of Timeline-Based Planning over Dense Temporal Domains: Exploring the Middle Ground. 191-205 - Marcin Przybylko:
On Computing the Measures of First-Order Definable Sets of Trees. 206-219 - Thiago Alves Rocha
, Ana Teresa C. Martins, Francicleber Martins Ferreira:
On Finding a First-Order Sentence Consistent with a Sample of Strings. 220-234 - Patricia Bouyer, Mauricio González, Nicolas Markey, Mickael Randour:
Multi-weighted Markov Decision Processes with Reachability Objectives. 250-264 - Dana Angluin, Dana Fisman
:
Regular omega-Languages with an Informative Right Congruence. 265-279 - Supreeth Shastri, David E. Irwin:
Cloud Index Tracking: Enabling Predictable Costs in Cloud Spot Markets. - Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. - Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
Second-Order Adversarial Attack and Certifiable Robustness. - Jiayi Zhang, Linglong Dai, Ziyan He, Bo Ai, Octavia A. Dobre:
Mixed-ADC/DAC Multipair Massive MIMO Relaying Systems: Performance Analysis and Power Optimization. - Pengcheng Yang, Shuming Ma, Yi Zhang, Junyang Lin, Qi Su, Xu Sun:
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification. - Kazybek Adam, Kamilya Smagulova, Alex Pappachen James:
Memristive LSTM network hardware architecture for time-series predictive modeling problem. - Michael D. Ekstrand:
The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project. - Chenze Shao, Yang Feng, Xilin Chen:
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. - Carlos Murguia
, Iman Shames, Farhad Farokhi
, Dragan Nesic:
On Privacy of Quantized Sensor Measurements through Additive Noise. - Anuj Deshpande
, Ritwik Kumar Layek:
A Linear Approach to Fault Analysis and Intervention in Boolean Systems. - Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber:
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers. - Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep MR Image Super-Resolution Using Structural Priors. - Marcin Waniek, Khaled M. Elbassioni, Flávio L. Pinheiro
, César A. Hidalgo, Aamena Alshamsi:
Computational Aspects of Optimal Strategic Network Diffusion. - Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. - Swapnil Dhamal
, Tijani Chahed, Walid Ben-Ameur, Eitan Altman, Albert Sunny, Sudheer Poojary:
A Stochastic Game Framework for Analyzing Computational Investment Strategies in Distributed Computing with Application to Blockchain Mining. - I-Chao Shen, Yi-Hau Wang, Yu-Mei Chen, Bing-Yu Chen:
Texturing and Deforming Meshes with Casual Images. - Hameedah Sultan, Shashank Varshney, Smruti R. Sarangi:
Is Leakage Power a Linear Function of Temperature? - Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. - Hung Pham, Quang-Cuong Pham:
Critically fast pick-and-place with suction cups. - Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai:
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising. - Zachary Chase
, Siddharth Prasad:
Learning Time Dependent Choice. - Gauvain Devillez, Alain Hertz, Hadrien Mélot, Pierre Hauweele:
Minimum Eccentric Connectivity Index for Graphs with Fixed Order and Fixed Number of Pending Vertices. - Dmitry Brizhinev, Rajeev Goré:
A case study in formal verification of a Java program. - Rui Tan, Linshan Jiang, Arvind Easwaran, Jothi Prasanna Shanmuga Sundaram:
Resilience Bounds of Sensing-Based Network Clock Synchronization. - Marco Del Tredici, Raquel Fernández, Gemma Boleda:
Short-term meaning shift: an exploratory distributional analysis. - Chris H. Bahnsen, Andreas Møgelmose, Thomas B. Moeslund:
The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos. - Guangming Wu, Zhiling Guo:
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline Extraction. - Ngoc-Quan Pham, Jan Niehues, Alex Waibel:
Towards one-shot learning for rare-word translation with external experts. - (Withdrawn) Proactive Load Balancing in Heterogeneous Cellular Networks.
- Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra:
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis. - Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. - Florina M. Ciorba
, Christian Iwainsky, Patrick Buder:
OpenMP Loop Scheduling Revisited: Making a Case for More Schedules. - Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie:
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks. - Debanjan Chaudhuri, Agustinus Kristiadi, Jens Lehmann, Asja Fischer:
Improving Response Selection in Multi-turn Dialogue Systems. - Ziwei Bai, Bo Yu, Bowen Wu, Zhuoran Wang, Baoxun Wang:
Learning to Generate Structured Queries from Natural Language with Indirect Supervision. - Karl Kurzer, Florian Engelhorn, J. Marius Zöllner:
Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search. - Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert:
Learning Sequence Encoders for Temporal Knowledge Graph Completion. - Dominik Kowald, Elisabeth Lex:
Studying Confirmation Bias in Hashtag Usage on Twitter. - Jessa Bekker, Jesse Davis:
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. - Abel Pacheco-Ortega, Hugo Estrada, Edgar Vázquez, Reynaldo Martell, Jesús Hernández, Julio Cruz, Edgar Silva, Jesus Savage, Luis Contreras:
Intelligent flat-and-textureless object manipulation in Service Robots. - Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian:
Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks. - Peter Wolf, Karl Kurzer, Tobias Wingert, Florian Kuhnt, J. Marius Zöllner:
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States. - Qian Yang, Hui-Ming Wang, Tong-Xing Zheng:
Delivery-Secrecy Tradeoff for Cache-Enabled Stochastic Networks: Content Placement Optimization. - Luis Angel Contreras-Toledo, Hiroki Yokoyama, Hiroyuki Okada:
Multimodal feedback for active robot-object interaction. - Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert:
Hand-tremor frequency estimation in videos. - Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi:
Gait learning for soft microrobots controlled by light fields. - Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. - Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj:
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution. - Daniel Danielski, Emanuel Kieronski:
Finite Satisfiability of Unary Negation Fragment with Transitivity. - Sergey A. Dichenko, Oleg Finko:
Two-Dimensional Control and Assurance of Data Integrity in Information Systems Based on Residue Number System Codes and Cryptographic Hash Functions. - Satoshi Egi:
Loop Patterns: Extension of Kleene Star Operator for More Expressive Pattern Matching against Arbitrary Data Structures. - Jakub Michaliszyn:
Elementary Multimodal Logics. - Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert:
Using phase instead of optical flow for action recognition. - Shideh Rezaeifar, Olga Taran, Slava Voloshynovskiy:
Classification by Re-generation: Towards Classification Based on Variational Inference. - Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Automated Test Generation to Detect Individual Discrimination in AI Models. - Aron Szanto:
The Skiplist-Based LSM Tree. - Facundo Carreiro, Alessandro Facchini, Yde Venema, Fabio Zanasi:
Model Theory of Monadic Predicate Logic with the Infinity Quantifier. - Therese Biedl, Andreas Kerren:
Proceedings of the 26th International Symposium on Graph Drawing and Network Visualization (GD 2018). - Sebastian Bischoff:
Feature Learning for Meta-Paths in Knowledge Graphs. - Le Trieu Phong, Tran Thi Phuong:
Privacy-Preserving Deep Learning for any Activation Function. - Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Multilingual Extractive Reading Comprehension by Runtime Machine Translation. - Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales:
Grasp success prediction with quality metrics. - Elena Smirnova:
Action-conditional Sequence Modeling for Recommendation. - Zhaoming Kong, Xiaowei Yang:
A Brief Review of Real-World Color Image Denoising. - Pranav Ashok, Tomás Brázdil, Jan Kretínský, Ondrej Slámecka:
Monte Carlo Tree Search for Verifying Reachability in Markov Decision Processes. - Yue Pan:
Landslide Monitoring based on Terrestrial Laser Scanning: A Novel Semi-automatic Workflow. - Kuntoro Adi Nugroho:
A Comparison of Handcrafted and Deep Neural Network Feature Extraction for Classifying Optical Coherence Tomography (OCT) Images. - Fang Liu, Li Feng, Richard Kijowski:
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping. - Hamdi Joudeh, Bruno Clerckx:
On the Optimality of Treating Inter-Cell Interference as Noise in Uplink Cellular Networks. - Xiaohua Huang, Abhinav Dhall, Roland Goecke, Matti Pietikäinen, Guoying Zhao:
A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation. - Xiaofan Yu, Runze Yu, Jingsong Yang, Xiaohui Duan:
A Robotic Auto-Focus System based on Deep Reinforcement Learning. - Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet:
Hierarchical Video Understanding. - Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu:
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. - Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage:
Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics. - Ángela Casado, Jónathan Heras:
Guiding the Creation of Deep Learning-based Object Detectors. - Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch:
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa. - Gwang-Il Ri, Mun-Chol Kim, Su-Rim Ji:
A Stable Minutia Descriptor based on Gabor Wavelet and Linear Discriminant Analysis. - Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, Thomas S. Huang:
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark. - Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni:
Neural Allocentric Intuitive Physics Prediction from Real Videos. - Jean Garcia-Gathright, Aaron Springer, Henriette Cramer:
Assessing and Addressing Algorithmic Bias - But Before We Get There. - Jianfeng Zhang, Liezhuo Zhang, Yuankai Teng, Xiaoping Zhang, Song Wang, Lili Ju:
Interactive Binary Image Segmentation with Edge Preservation. - Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin:
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications. - Wenqing Li, Chunhui Zhao, Biao Huang:
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control. - Paolo Baracca, Lorenzo Galati-Giordano, Adrian García-Rodríguez, Giovanni Geraci, David López-Pérez:
Downlink Performance of Uplink Fractional Power Control in 5G Massive MIMO Systems. - Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, Yun-Nung Chen:
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks. - Adrià Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba:
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks. - Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau:
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. - Ethan Harris, Matthew Painter, Jonathon S. Hare:
Torchbearer: A Model Fitting Library for PyTorch. - Yiwei Sun, Zhen Gao, Hua Wang, Di Wu:
Wideband Hybrid Precoding for Next-Generation Backhaul/Fronthaul Based on mmWave FD-MIMO. - Jorn W. T. Peters, Max Welling:
Probabilistic Binary Neural Networks. - Yiwei Sun, Zhen Gao, Hua Wang, Di Wu:
Machine Learning Based Hybrid Precoding for MmWave MIMO-OFDM with Dynamic Subarray. - Dicong Qiu:
SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network. - Wouter Lueks, Brinda Hampiholi, Greg Alpár, Carmela Troncoso:
Tandem: Securing Keys by Using a Central Server While Preserving Privacy. - Kemal Kurniawan, Alham Fikri Aji:
Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging. - Masahiro Okubo, Tesshu Hanaka, Hirotaka Ono:
Optimal Partition of a Tree with Social Distance. - Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando Ombao, Hadri Hussain:
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. - Natalie Stors, Sebastian Baltes:
Constructing Urban Tourism Space Digitally: A Study of Airbnb Listings in Two Berlin Neighborhoods. - Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause:
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity. - Koki Washio, Tsuneaki Kato:
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space. - John Peruzzi, Phillip Andrew Wingard, David Zucker:
Does Your Phone Know Your Touch? - Erik J. Peterson, Necati Alp Muyesser, Timothy D. Verstynen, Kyle Dunovan:
Keep it stupid simple. - Aashish Venkatesh, Ravi Shekhar, Tim Baumgärtner, Elia Bruni, Raffaella Bernardi, Raquel Fernández:
Jointly Learning to See, Ask, and GuessWhat. - Koki Washio, Tsuneaki Kato:
Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations. - Farzad Tashtarian, Alireza R. Erfanian, Amir Varasteh:
S2VC: An SDN-based Framework for Maximizing QoE in SVC-Based HTTP Adaptive Streaming. - Shichao Yang, Sebastian A. Scherer:
Monocular Object and Plane SLAM in Structured Environments. - Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, Amal Shehan Perera:
Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations. - Arati Baliga, I Subhod, Pandurang Kamat, Siddhartha Chatterjee:
Performance Evaluation of the Quorum Blockchain Platform. - Sihem Mesnager, Ahmet Sinak:
Strongly regular graphs from weakly regular plateaued functions. - Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. - Patrick Koch:
Now You're Thinking With Structures: A Concept for Structure-based Interactions with Spreadsheets. - Jun Zhang:
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration. - Jasper Kyle Catapang:
A collection of database industrial techniques and optimization approaches of database operations. - Michal Garmulewicz, Henryk Michalewski, Piotr Milos:
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge. - Chao Wang, Hui Jiang:
Exploring Machine Reading Comprehension with Explicit Knowledge. - Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong:
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding. - Aris Filos-Ratsikas, Yiannis Giannakopoulos
, Philip Lazos:
The Pareto Frontier of Inefficiency in Mechanism Design. - Andrew Mellor:
Event Graphs: Advances and Applications of Second-Order Time-Unfolded Temporal Network Models. - Zhongliang Yang, Xingjian Du, Yilin Tan, Yongfeng Huang, Yu-Jin Zhang:
AAG-Stega: Automatic Audio Generation-based Steganography. - Marek Wydmuch, Michal Kempka, Wojciech Jaskowski:
ViZDoom Competitions: Playing Doom from Pixels. - Saeed Mahloujifar, Mohammad Mahmoody
, Ameer Mohammed:
Multi-party Poisoning through Generalized p-Tampering. - Arash Fayyazi, Souvik Kundu, Shahin Nazarian, Peter A. Beerel, Massoud Pedram:
SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application. - Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka:
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. - Ahmed Arafa, Erdal Panayirci, H. Vincent Poor:
Relay-Aided Secure Broadcasting for Visible Light Communications. - Zi Yang, Xinpeng Wang, Xin Pei, Shuo Feng, Dajun Wang, Jianqiang Wang, Sze Chun Wong:
Longitudinal Safety Analysis For Heterogeneous Platoon Of Automated And Human Vehicles. - Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang:
Multi-view Models for Political Ideology Detection of News Articles. - Piotr Jurkiewicz, Grzegorz Rzym, Piotr Borylo:
Flow Length and Size Distributions in Campus Internet Traffic. - Nicole Eikmeier, Arjun S. Ramani, David F. Gleich:
The HyperKron Graph Model for higher-order features. - Dan Shiebler:
A Correlation Maximization Approach for Cross Domain Co-Embeddings. - Guillaume Sartoretti, Justin Kerr, Yunfei Shi, Glenn Wagner, T. K. Satish Kumar, Sven Koenig, Howie Choset:
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning. - Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang:
Energy Disaggregation via Deep Temporal Dictionary Learning. - Mahdi Khodayar, Saeed Mohammadi
, Mohammad E. Khodayar, Jianhui Wang, Guangyi Liu:
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting. - Maarten W. A. Wijntjes:
Annotating shadows, highlights and faces: the contribution of a 'human in the loop' for digital art history. - Ramin Moghaddass, Cynthia Rudin:
Bayesian Patchworks: An Approach to Case-Based Reasoning. - Isac Arnekvist, Danica Kragic, Johannes A. Stork:
VPE: Variational Policy Embedding for Transfer Reinforcement Learning. - Claude Gravel, Daniel Panario, David Thomson:
Unicyclic Strong Permutations. - Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor:
Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. - Matthew Giamou, Ziye Ma, Valentin Peretroukhin, Jonathan Kelly:
Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion. - Marko Bjelonic, C. Dario Bellicoso, Yvain de Viragh, Dhionis V. Sako, F. Dante Tresoldi, Fabian Jenelten, Marco Hutter:
Keep Rollin' - Whole-Body Motion Control and Planning for Wheeled Quadrupedal Robots. - Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning Towards Mobile Applications. - Ritwik Gupta, Zachary T. Kurtz, Sebastian A. Scherer, Jonathon M. Smereka:
Open Problems in Robotic Anomaly Detection. - Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. - Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-Training. - Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers. - Chen Karako, Putra Manggala:
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations. - Bruce Spang, Mary Wootters:
Unconstraining graph-constrained group testing. - Hunter Damron
, Alberto Quattrini Li, Ioannis M. Rekleitis:
Underwater Surveying via Bearing only Cooperative Localization. - Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. - Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto, Ming-Yuan Yu, Karl Rosaen, Nick Goumas, Ram Vasudevan, Matthew Johnson-Roberson:
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections. - Harsh Aurora, Warren J. Gross:
Towards Practical Software Stack Decoding of Polar Codes. - Mohamed R. Ibrahim
, James Haworth, Tao Cheng:
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision. - Yuxin Liu, Badri N. Vellambi, Young-Han Kim, Parastoo Sadeghi:
On the Capacity Region for Secure Index Coding. - Rafael Ballester-Ripoll, Renato Pajarola:
Visualization of High-dimensional Scalar Functions Using Principal Parameterizations. - Aaron Chadha, Yiannis Andreopoulos:
Improving Adversarial Discriminative Domain Adaptation. - Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan:
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks. - Samah A. M. Ghanem:
Network Coded Handover in IEEE 802.11. - Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown:
Detecting Gang-Involved Escalation on Social Media Using Context. - Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. - Athila R. Trindade, Felipe Campelo:
Tuning metaheuristics by sequential optimization of regression models. - Wei Zhang, Fan Bu, Derek Owens-Oas, Katherine A. Heller, Xiaojin Zhu:
Learning Root Source with Marked Multivariate Hawkes Processes. - Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee:
Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography. - Nandan Sriranga, Kyatsandra G. Nagananda, Rick S. Blum, Augustin-Alexandru Saucan, Pramod K. Varshney:
Energy-efficient Decision Fusion for Distributed Detection in Wireless Sensor Networks. - Francesco Olivieri, Guido Governatori, Matteo Cristani, Nick van Beest, Silvano Colombo Tosatto:
Resource-driven Substructural Defeasible Logic. - Weidong Mei, Rui Zhang:
Uplink Cooperative NOMA for Cellular-Connected UAV. - Lingjie Liu, Weipeng Xu, Michael Zollhöfer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, Christian Theobalt:
Neural Animation and Reenactment of Human Actor Videos. - Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. - Alex Biddulph, Trent Houliston, Alexandre Mendes, Stephan K. Chalup:
Comparing Computing Platforms for Deep Learning on a Humanoid Robot. - Xiaolin Song, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jingyu Yang, Xiaoyan Sun:
Temporal-Spatial Mapping for Action Recognition. - Anna Skobeleva, Baris Fidan, Valery A. Ugrinovskii, Ian R. Petersen:
Planar Cooperative Extremum Seeking with Guaranteed Convergence Using A Three-Robot Formation. - Jonathan C. Balloch, Varun Agrawal, Irfan Essa, Sonia Chernova:
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer. - John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich:
Learning Scripts as Hidden Markov Models. - Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang:
CNN-Based Signal Detection for Banded Linear Systems. - Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent:
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. - MohammadHossein Bateni, Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Vahab S. Mirrokni:
Massively Parallel Dynamic Programming on Trees. - Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong:
A Joint Model of Conversational Discourse and Latent Topics on Microblogs. - Xiaowei Li, Ying Wang, Qiong-Hua Wang, Yang Liu, Xin Zhou:
Modified integral imaging reconstruction and encryption using an improved SR reconstruction algorithm. - Oier Lopez de Lacalle, Aitor Soroa, Eneko Agirre:
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset. - Martina Brachmann, Olaf Landsiedel, Diana Göhringer, Silvia Santini:
Whisper: Fast Flooding for Low-Power Wireless Networks. - Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. - Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction. - Dongfang Xu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober:
Robust Resource Allocation for UAV Systems with UAV Jittering and User Location Uncertainty. - Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis:
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. - Sivakumar Rathinam, Satyanarayana Gupta Manyam, Yuntao Zhang:
Path Planning Algorithms for a Car-Like Robot visiting a set of Waypoints with Field of View Constraints. - Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang:
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions. - Senay Semu Tadesse, Carla-Fabiana Chiasserini, Francesco Malandrino:
Characterizing the Power Cost of Virtualization Environments. - Qingye Jiang, Young Choon Lee, Joseph G. Davis, Albert Y. Zomaya:
Diversity, Productivity, and Growth of Open Source Developer Communities. - Dominika Basaj, Barbara Rychalska, Przemyslaw Biecek, Anna Wróblewska:
How much should you ask? On the question structure in QA systems. - Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu:
Factorized Q-Learning for Large-Scale Multi-Agent Systems. - Lucas C. Cordeiro, Daniel Kroening, Peter Schrammel:
Benchmarking of Java Verification Tools at the Software Verification Competition (SV-COMP). - Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek, Anna Wróblewska:
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System. - Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song:
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies and Implementation. - Ke-Wen Huang, Hui-Ming Wang, Jia Hou, Shi Jin:
Joint Spatial Division and Diversity for Massive MIMO Systems. - Kazutaka Uchida, Masayuki Tanaka, Masatoshi Okutomi:
Non-blind Image Restoration Based on Convolutional Neural Network. - Bithika Pal, Suman Banerjee, Mamata Jenamani:
Threshold-Based Heuristics for Trust Inference in a Social Network. - Nikolay I. Yankov, Krassimir Enev:
A note on reducing the computation time for minimum distance and equivalence check of binary linear codes. - Aaron S. Jackson, Chris Manafas, Georgios Tzimiropoulos:
3D Human Body Reconstruction from a Single Image via Volumetric Regression. - Ryota Suzuki, Shingo Takahashi, Murtuza Petladwala, Shigeru Kohmoto:
Solving Non-identifiable Latent Feature Models. - Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön:
Probabilistic approach to limited-data computed tomography reconstruction. - Marcel Schreiber
, Stefan Hoermann, Klaus Dietmayer:
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. - Xiao-Yun Zhou, Guang-Zhong Yang:
Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation. - Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng:
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). - Gabriele Valvano
, Gianmarco Santini, Nicola Martini
, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta:
Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. - Soheyl Khalilpourazari, Mohammad Mohammadi:
A new exact algorithm for solving single machine scheduling problems with learning effects and deteriorating jobs. - Jari Toivanen, Monika Wolfmayr:
A fast Fourier transform based direct solver for the Helmholtz problem. - Vladimir Zamdzhiev
:
A Framework for Rewriting Families of String Diagrams. 63-76 - Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou:
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network. - Jaroslav Pokorný:
Integration of Relational and Graph Databases Functionally. - Yubo Sun, Yuqi Lei, Wulin Zou, Jianmin Li, Ningbo Yu:
Real-time force control of an SEA-based body weight support unit with the 2-DOF control structure. - Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama:
Unsupervised Domain Adaptation Based on Source-guided Discrepancy. - Wei Zhang, Yunfeng Zhang, Ning Liu:
Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation. - Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Robust Energy Efficient Beamforming in MISOME-SWIPT Systems With Proportional Secrecy Rate. - Jaspreet Singh, Avishek Anand:
EXS: Explainable Search Using Local Model Agnostic Interpretability. - Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus:
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. - Chengyuan Zhang, Yunwu Lin, Lei Zhu, Zuping Zhang, Xinpan Yuan, Fang Huang:
Efficient Multimedia Similarity Measurement Using Similar Elements. - Marija Popovic, Teresa A. Vidal-Calleja, Gregory Hitz, Jen Jen Chung, Inkyu Sa, Roland Siegwart, Juan I. Nieto:
An informative path planning framework for UAV-based terrain monitoring. - Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng:
A Real-time Robotic Grasp Approach with Oriented Anchor Box. - Alexander Weinert
:
Quantitative Reductions and Vertex-Ranked Infinite Games. 1-15 - Thomas Brihaye, Véronique Bruyère, Aline Goeminne, Jean-François Raskin:
Constrained Existence Problem for Weak Subgame Perfect Equilibria with ω-Regular Boolean Objectives. 16-29 - Tobias R. Gundersen, Florian Lorber, Ulrik Nyman, Christian Ovesen:
Effortless Fault Localisation: Conformance Testing of Real-Time Systems in Ecdar. 147-160 - Yonatan Belinkov, Alexander Magidow, Alberto Barrón-Cedeño, Avi Shmidman, Maxim Romanov:
Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus. - Facundo Carreiro, Alessandro Facchini, Yde Venema, Fabio Zanasi:
The Power of the Weak. - Elisabeth Lex, Mario Wagner, Dominik Kowald:
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. - Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll:
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. - Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun:
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images. - Benjamin Finley, Eren Boz, Kalevi Kilkki, Jukka Manner, Antti Oulasvirta, Heikki Hämmäinen:
Does network quality matter? A field study of mobile user satisfaction. - Benjamin Finley, Tapio Soikkeli:
Multidevice mobile sessions: A first look. - Francesco Morandin, Gianluca Amato, Rosa Gini
, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto:
SAI, a Sensible Artificial Intelligence that plays Go. - Samah A. M. Ghanem:
MIMO Mutli-Cell Processing: Optimal Precoding and Power Allocation. - Erik Träff, Ole Sigmund, Jeroen Groen:
Simple single-scale microstructures based on optimal rank-3 laminates. - Tom De Smedt, Sylvia Jaki, Eduan Kotzé, Leïla Saoud, Maja Gwózdz, Guy De Pauw, Walter Daelemans:
Multilingual Cross-domain Perspectives on Online Hate Speech. - Rémi Agier, Sébastien Valette, Razmig Kéchichian, Laurent Fanton, Rémy Prost:
Hubless keypoint-based 3D deformable groupwise registration. - Andrea Bonfante, Lorenzo Galati-Giordano, David López-Pérez, Adrian García-Rodríguez, Giovanni Geraci, Paolo Baracca, M. Majid Butt, Nicola Marchetti:
5G Massive MIMO Architectures: Self-Backhauled Small Cells versus Direct Access. - Fei Deng, Jinsheng Ren, Feng Chen:
Abstraction Learning. - Hao Wang, Bojin Zhuang, Yang Chen, Ni Li, Dongxia Wei:
Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations. - Alexander V. Khvostikov, Karim Aderghal
, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau:
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. - Hongmin Wu, Shuangqi Luo, Longxin Chen, Shuangda Duan, Sakmongkon Chumkamon, Dong Liu, Yisheng Guan, Juan Rojas:
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies. - Lexi Brent, Anton Jurisevic, Michael Kong, Eric Liu, François Gauthier, Vincent Gramoli
, Ralph Holz, Bernhard Scholz:
Vandal: A Scalable Security Analysis Framework for Smart Contracts. - Tamer Alkhouli, Gabriel Bretschner, Hermann Ney:
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation. - Qiwen Wang, Hua Sun, Mikael Skoglund:
The ε-error Capacity of Symmetric PIR with Byzantine Adversaries. - Allyson Ettinger, Ahmed Elgohary, Colin Phillips, Philip Resnik:
Assessing Composition in Sentence Vector Representations. - Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Efficient Road Lane Marking Detection with Deep Learning. - Emilia Apostolova, Tom Velez:
Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes. - Shu Liu, Jingjing Xu, Xuancheng Ren, Xu Sun:
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet. - Christoph Ager, Benedikt Schott, Anh-Tu Vuong, Alexander Popp, Wolfgang A. Wall:
A consistent approach for fluid-structure-contact interaction based on a porous flow model for rough surface contact. - Mahdi Jamei, Anna Scaglione, Sean Peisert
:
Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection. - Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong:
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. - Emilia Apostolova, R. Andrew Kreek:
Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data. - Shauli Ravfogel
, Francis M. Tyers, Yoav Goldberg:
Can LSTM Learn to Capture Agreement? The Case of Basque. - Kerem Yunus Camsari, Brian M. Sutton, Supriyo Datta:
p-Bits for Probabilistic Spin Logic. - Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking with Multiple Robots. - Fabian Steiner, Georg Böcherer, Gianluigi Liva:
Bit-Metric Decoding of Non-Binary LDPC Codes with Probabilistic Amplitude Shaping. - Noam Brown, Tuomas Sandholm:
Solving Imperfect-Information Games via Discounted Regret Minimization. - Jailton Coelho, Marco Túlio Valente, Luciana Lourdes Silva, Emad Shihab:
Identifying Unmaintained Projects in GitHub. - Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun:
AWE: Asymmetric Word Embedding for Textual Entailment. - Ezra Tal, Sertac Karaman:
Accurate Tracking of Aggressive Quadrotor Trajectories using Incremental Nonlinear Dynamic Inversion and Differential Flatness. - Ryan Moulton, Yunjiang Jiang:
Maximally Consistent Sampling and the Jaccard Index of Probability Distributions. - Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau:
Neural-Augmented Static Analysis of Android Communication. - Youngsoo Choi
, Deshawn Coombs, Robert W. Anderson:
SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction. - Minjia Zhang, Yuxiong He:
Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory. - Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz:
DNN Dataflow Choice Is Overrated. - Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh:
Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. - Nutan Limaye, Karteek Sreenivasaiah, Srikanth Srinivasan, Utkarsh Tripathi, S. Venkitesh:
The Coin Problem in Constant Depth: Sample Complexity and Parity Gates. - Lovenoor S. Aulck, Kishore Vasan, Jevin West:
Is together better? Examining scientific collaborations across multiple authors, institutions, and departments. - Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris:
FIVR: Fine-grained Incident Video Retrieval. - Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister:
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. - Yusuke Tsuzuku, Issei Sato:
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions. - Jack Murtagh, Kathryn Taylor, George Kellaris, Salil P. Vadhan:
Usable Differential Privacy: A Case Study with PSI. - Bruno Clerckx, Junghoon Kim:
On the Beneficial Roles of Fading and Transmit Diversity in Wireless Power Transfer with Nonlinear Energy Harvesting. - Christoph Trattner, Vanessa Murdock, Steven Chang:
ACM RecSys 2018 Late-Breaking Results Proceedings. - Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. - Kiavash Satvat, Mahshid Hosseini, Maliheh Shirvanian:
Camouflaged with Size: A Case Study of Espionage using Acquirable Single-Board Computers. - Tianxing He, James R. Glass:
Detecting egregious responses in neural sequence-to-sequence models. - Zhenglong Zhou, Chaz Firestone:
Taking a machine's perspective: Human deciphering of adversarial images. - Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana:
Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging. - Dev Patel, Li Jun Heng, Abesh Rahman, Deepika Bharti Singh:
Servo Actuating System Control Using Optimal Fuzzy Approach Based on Particle Swarm Optimization. - Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu:
Poisoning Attacks to Graph-Based Recommender Systems. - Denis Paperno:
Limitations in learning an interpreted language with recurrent models. - Thomas Kruezer:
Magnetically Guided Capsule Endoscopy. - Armon Shariati, Bernd Pfrommer, Camillo J. Taylor:
Simultaneous Localization and Layout Model Selection in Manhattan Worlds. - Yiling Chen, Yang Liu, Juntao Wang:
Randomized Wagering Mechanisms. - Canyu Le, Xin Li:
JigsawNet: Shredded Image Reassembly using Convolutional Neural Network and Loop-based Composition. - Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver. - Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs. - Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
End-to-end Image Captioning Exploits Multimodal Distributional Similarity. - Leif Andersen, Vincent St-Amour, Jan Vitek, Matthias Felleisen:
Feature-Specific Profiling. - Tejas K, Swathi C, Rajesh Kumar M:
Intensity and Rescale Invariant Copy Move Forgery Detection Techniques. - Xu Zhang, Felix X. Yu, Svebor Karaman, Wei Zhang, Shih-Fu Chang:
Heated-Up Softmax Embedding. - Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. - C. Daniel Greenidge, Noam Miller, Kenneth A. Norman:
Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks. - Roya Firoozi, Jacopo Guanetti, Roberto Horowitz, Francesco Borrelli:
Vehicle Localization and Control on Roads with Prior Grade Map. - Sébastien Philippe, Alexander Glaser, Edward W. Felten:
A Cryptographic Escrow for Treaty Declarations and Step-by-Step Verification. - Yang Li, Nikolaus Correll:
From Natural to Artificial Camouflage: Components and Systems. - Tahsin C. M. Dönmez:
Verifiable Computations with RAM-like Running Times. - Seyedehsara Nayer, Namrata Vaswani:
Phaseless Subspace Tracking. - Yohan Jo, Keith Maki, Gaurav Tomar:
Time Series Analysis of Clickstream Logs from Online Courses. - Tal Linzen:
What can linguistics and deep learning contribute to each other? - Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. - Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens:
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. - Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
Deep Micro-Dictionary Learning and Coding Network. - Majed El Helou, Frederike Dümbgen, Radhakrishna Achanta, Sabine Süsstrunk:
Fourier-Domain Optimization for Image Processing. - Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu:
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. - Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference. - Chu-Pan Wong, Jens Meinicke, Lukas Lazarek, Christian Kästner:
Faster Variational Execution with Transparent Bytecode Transformation. - Andrew Cotter, Heinrich Jiang, Serena Lutong Wang, Taman Narayan, Maya R. Gupta, Seungil You, Karthik Sridharan:
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. - Robin Burke, Jackson Kontny, Nasim Sonboli:
Synthetic Attribute Data for Evaluating Consumer-side Fairness. - Minh Nguyen, Hoang Gia Ngo, Nancy F. Chen:
Multimodal neural pronunciation modeling for spoken languages with logographic origin. - Shun-Yao Shih, Fan-Keng Sun, Hung-Yi Lee:
Temporal Pattern Attention for Multivariate Time Series Forecasting. - Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee:
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information. - Mikaël Mayer, Viktor Kuncak, Ravi Chugh:
Bidirectional Evaluation with Direct Manipulation. - Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. - Shun-Yao Shih, Heng-Yu Chi:
Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning. - Shuangda Duan, Longxin Chen, Yaqian Wang, Xuan Zhao, Juan Rojas:
Dynamic Robot Motion Prediction Updates in Physical Human-Robot Interactive Tasks. - Kai Zhou, Jian Ren:
Security and Privacy Enhancement for Outsourced Biometric Identification. - Nicole Immorlica, Katrina Ligett, Juba Ziani:
Access to Population-Level Signaling as a Source of Inequality. - Zhen Deng, Ge Gao, Simone Frintrop, Jianwei Zhang:
Attention based visual analysis for fast grasp planning with multi-fingered robotic hand. - Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-investment Network Learning for Financial Assets. - Avinash Kori, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese:
Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. - Carlos E. Luis, Angela P. Schoellig:
Trajectory Generation for Multiagent Point-To-Point Transitions via Distributed Model Predictive Control. - Akifumi Wachi, Hiroshi Kajino, Asim Munawar:
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. - Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu:
TGE-PS: Text-driven Graph Embedding with Pairs Sampling. - Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng:
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Cunlu Zhou, David G. M. Mitchell, Roxana Smarandache:
Free Pseudodistance Growth Rates for Spatially Coupled LDPC Codes over the BEC. - Seong-Eun Moon, Jong-Seok Lee:
Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review. - Zeheng Wang, Kun Lu, Jun Cao, Yuanzhe Yao, Liang Li, Runyu Liu, Zhiyuan Liu, Jing Yan:
An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as An Example. - Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. - Rashmi Nagpal, Chetna Wadhwa, Mallika Gupta, Samiulla Shaikh, Sameep Mehta, Vikram Goyal:
Extracting Fairness Policies from Legal Documents. - Ni An, Steven Weber:
Efficiency and detectability of random reactive jamming in carrier sense wireless networks. - Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. - Abdul Wasay, Yuze Liao, Stratos Idreos:
Rapid Training of Very Large Ensembles of Diverse Neural Networks. - Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin:
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. - Fuming Fang, Junichi Yamagishi, Isao Echizen, Md. Sahidullah, Tomi Kinnunen:
Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems. - Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Yining Chen, Ting Liu:
Retrieval-Enhanced Adversarial Training for Neural Response Generation. - Zhe Hu, Jia Pan, Tingxiang Fan, Ruigang Yang, Dinesh Manocha:
Safe Navigation with Human Instructions in Complex Scenes. - Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Douglas Eck:
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. - Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi:
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning. - Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar:
Graph Convolutional Networks based Word Embeddings. - Darja Solodovnikova, Laila Niedrite:
An Approach to Handle Big Data Warehouse Evolution. - Thao Le Minh, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda:
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances. - Zhong Zhang, Tao Han, Jia Pan, Zheng Wang:
CATCH-919 Hand: Design of a 9-actuator 19-DOF Anthropomorphic Robotic Hand. - Joeri Frederik, Lars Kröger, Gerd Gülker, Jan-Willem van Wingerden:
Data-driven repetitive control: Wind tunnel experiments under turbulent conditions. - Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang:
Chinese Poetry Generation with a Working Memory Model. - (Withdrawn) Exponential-Time Approximation Algorithms for MAX-SAT: Correlations and Implications.
- Xiaoyuan Yi, Ruoyu Li, Maosong Sun:
Chinese Poetry Generation with a Salient-Clue Mechanism. - Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus H. Piater:
Action Representations in Robotics: A Taxonomy and Systematic Classification. - Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. - Yunhua Zhang, Dong Wang, Lijun Wang, Jinqing Qi, Huchuan Lu:
Learning regression and verification networks for long-term visual tracking. - Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Yu Wang, Johannes A. Stork:
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. - Laksh Bhatia, Ivana Tomic, Julie A. McCann:
Poster Abstract: LPWA-MAC - a Low Power Wide Area network MAC protocol for cyber-physical systems. - Zuxing Li, Tobias J. Oechtering:
Privacy-Utility Management of Hypothesis Tests. - Stefan Thaler, Vlado Menkovski, Milan Petkovic:
Deep Learning in Information Security. - Robert Kelly, Barak A. Pearlmutter, Phil Maguire:
Concurrent Robin Hood Hashing. - Giovanni Iacca, Fabio Caraffini
:
Compact Optimization Algorithms with Re-sampled Inheritance. - Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi:
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. - Miao Zhang, Kanapathippillai Cumanan, Lei Ni, Hang Hu, Alister G. Burr, Zhiguo Ding:
Robust Beamforming for AN Aided MISO SWIPT System with Unknown Eavesdroppers and Non-linear EH Model. - Jian-Jia Chen, Nikhil Bansal, Samarjit Chakraborty, Georg von der Brüggen:
Packing Sporadic Real-Time Tasks on Identical Multiprocessor Systems. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep learning for time series classification: a review. - Dimitrios Kollias, Stefanos Zafeiriou:
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. - Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau:
The Convergence of Iterative Delegations in Liquid Democracy. - Ewelina Bartuzi, Mateusz Trokielewicz:
Thermal Features for Presentation Attack Detection in Hand Biometrics. - Ali Abrishami, Sadegh Aliakbary:
NNCP: A citation count prediction methodology based on deep neural network learning techniques. - Fuqiang Yao, Luliang Jia:
A Collaborative Multi-agent Reinforcement Learning Anti-jamming Algorithm in Wireless Networks. - Yin Cheng Ng, Ricardo Silva:
Bayesian Semi-supervised Learning with Graph Gaussian Processes. - Hanxu Hou, Patrick P. C. Lee:
Binary MDS Array Codes with Optimal Repair. - Piotr Faliszewski, Nimrod Talmon:
A Framework for Approval-based Budgeting Methods. - Kaidi Nie, Weiwei Wan, Kensuke Harada:
A Hand Combining Two Simple Grippers to Pick up and Arrange Objects for Assembly. - Çigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis:
Maximizing the Diversity of Exposure in a Social Network. - Masahiro Ikeda, Atsushi Miyauchi, Yuuki Takai, Yuichi Yoshida:
Finding Cheeger Cuts in Hypergraphs via Heat Equation. - Krishan Rajaratnam, Kunal Shah, Jugal Kalita:
Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition. - Slava Jankin Mikhaylov, Marc Esteve, Averill Campion:
Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration. - Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf:
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. - Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko:
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. - Simon Oya, Carmela Troncoso, Fernando Pérez-González:
A Tabula Rasa Approach to Sporadic Location Privacy. - Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. - Alan Hylton, Greg Henselman-Petrusek, Janche Sang, Robert Short
:
Tuning the Performance of a Computational Persistent Homology Package. - Long Chen, Haizhou Ai, Zijie Zhuang, Chong Shang:
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification. - Stanislav Nikolov, Sam Blackwell, Ruheena Mendes, Jeffrey De Fauw, Clemens Meyer, Cían Hughes, Harry Askham, Bernardino Romera-Paredes, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Kevin Sullivan, DeepMind Radiographer Consortium, Hugh Montgomery, Geraint Rees, Ricky Sharma, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger:
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. - Isaac Karth, Adam M. Smith:
Addressing the Fundamental Tension of PCGML with Discriminative Learning. - Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang:
Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. - (Withdrawn) An empirical learning-based validation procedure for simulation workflow.
- Ona de Gibert, Naiara Pérez, Aitor García Pablos
, Montse Cuadros:
Hate Speech Dataset from a White Supremacy Forum. - Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
End-to-end depth from motion with stabilized monocular videos. - Ivan Chajda, Jan Paseka:
Dynamic logic assigned to automata. - Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Vinod M. Prabhakaran:
Arbitrarily Varying Remote Sources. - Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network. - Willem Conradie, Salih Durhan, Guido Sciavicco:
An Integrated First-Order Theory of Points and Intervals over Linear Orders (Part II). - Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
Learning structure-from-motionfrom motion. - Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-task Deep Reinforcement Learning with PopArt. - Anna C. Gilbert, Ambuj Tewari, Yitong Sun:
But How Does It Work in Theory? Linear SVM with Random Features. - Mateusz Malinowski, Carl Doersch:
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. - Linqi Song, Jie Xu:
Dynamic Edge Caching with Popularity Drifting. - Srikanta Bedathur, Indrajit Bhattacharya, Jayesh Choudhari, Anirban Dasgupta:
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes. - Rob Arthan, Paulo Oliva:
A Curry-Howard Correspondence for the Minimal Fragment of Łukasiewicz Logic. - Hirotada Okawa, Kotaro Fujisawa, Yu Yamamoto, Ryosuke Hirai
, Nobutoshi Yasutake, Hiroki Nagakura, Shoichi Yamada:
The W4 method: a new multi-dimensional root-finding scheme for nonlinear systems of equations. - Abdul Fatir Ansari, Harold Soh:
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. - (Withdrawn) Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards.
- Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung:
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training. - Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau:
Combined Reinforcement Learning via Abstract Representations. - Viral Parekh, Maneesh Bilalpur, Sharavan Kumar, Stefan Winkler, C. V. Jawahar, Ramanathan Subramanian:
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations. - Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang:
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. - Aizhong Li:
A Simple Elementary Proof of P=NP based on the Relational Model of E. F. Codd. - Alexey Potapov, Sergey Rodionov:
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search. - Min Chen, Yixue Hao, Kai Lin, Zhiyong Yuan, Long Hu:
Label-less Learning for Traffic Control in an Edge Network. - Sandeep Joshi, Samrudh Kumar:
Image contrast enhancement using fuzzy logic. - Stefan Wildhagen, Simon Michalowsky, Jan Feiling, Christian Ebenbauer:
Characterizing the learning dynamics in extremum seeking. - Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince:
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN. - Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter:
Frequency-Aware Model Predictive Control. - Shuang Liu, Kamalika Chaudhuri:
The Inductive Bias of Restricted f-GANs. - Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen:
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications. - Hojin Lee, Hyoungkyun Kim, Seungmoon Choi:
Human Driving Skill Modeling Using Neural Networks for Haptic Assistance in Realistic Virtual Environments. - Fei Tao, Carlos Busso:
End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models. - Temesghen Kahsai, Germán Vidal:
Proceedings 5th Workshop on Horn Clauses for Verification and Synthesis, HCVS 2018, Oxford, UK, 13th July 2018. EPTCS 278, 2018 [contents] - Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan:
Unsupervised Controllable Text Formalization. - W. M. T. Chathurika, K. C. E. De Silva, A. M. Raddella, E. M. R. S. Ekanayake, Anupiya Nugaliyadde, Yashas Mallawarachchi:
Solving Sinhala Language Arithmetic Problems using Neural Networks. - Timo Korthals, Jürgen Leitner, Ulrich Rückert:
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. - Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis:
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. - Ramakanth Pasunuru, Mohit Bansal:
Game-Based Video-Context Dialogue. - Prasad Jayanti, Siddhartha V. Jayanti:
Constant Amortized RMR Complexity Deterministic Abortable Mutual Exclusion Algorithm for CC and DSM Models. - Serena Chen:
Finding Higher Order Mutants Using Variational Execution. - Ali Ramezani-Kebrya
, Ashish Khisti, Ben Liang:
On the Stability and Convergence of Stochastic Gradient Descent with Momentum. - Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu:
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. - Jon M. Kleinberg, Sendhil Mullainathan:
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability. - Mohammad Hadian, Xiaohui Liang, Thamer Altuwaiyan, Mohamed M. E. A. Mahmoud:
Privacy-preserving mHealth Data Release with Pattern Consistency. - Gaurav Kumar Agarwal, Mohammed Karmoose, Suhas N. Diggavi, Christina Fragouli, Paulo Tabuada:
Distorting an Adversary's View in Cyber-Physical Systems. - Sebastian F. Ruf, Keith Paarporn, Philip E. Pare:
Going Viral: Stability of Consensus-Driven Adoptive Spread. - Mohammad Hadian, Thamer Altuwaiyan, Xiaohui Liang, Wei Li:
Efficient and Privacy-preserving Voice-based Search over mHealth Data. - Yichen Jiang, Mohit Bansal:
Closed-Book Training to Improve Summarization Encoder Memory. - Bruna Vieira Frade, Erickson R. Nascimento:
A Two-Step Learning Method For Detecting Landmarks on Faces From Different Domains. - Walysson V. Barbosa, Henrique G. B. Amaral, Thiago Lages Rocha, Erickson Rangel do Nascimento:
Visual-Quality-Driven Learning for Underwater Vision Enhancement. - Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. - Jasmijn Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, Douwe Kiela:
Jump to better conclusions: SCAN both left and right. - Arun C. S. Kumar, Shefali Srivastava, Anirban Mukhopadhyay, Suchendra M. Bhandarkar:
Deep Spectral Correspondence for Matching Disparate Image Pairs. - Wilbert Samuel Rossi, Jan Willem Polderman, Paolo Frasca:
The closed loop between opinion formation and personalised recommendations. - David B. Skillicorn, Xiao Li, Karen Chen:
Reversing the asymmetry in data exfiltration. - Hao Zhang, Jie Wang:
Semantic WordRank: Generating Finer Single-Document Summarizations. - Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina:
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. - Dilip K. Prasad, Deepu Rajan, Chai Quek:
Are object detection assessment criteria ready for maritime computer vision? - Massimo Battaglioni, Alireza Tasdighi, Marco Baldi, Mohammad Hesam Tadayon, Franco Chiaraluce:
Compact QC-LDPC Block and SC-LDPC Convolutional Codes for Low-Latency Communications. - Stephen Pfohl, Ben J. Marafino, Adrien Coulet, Fátima Rodriguez, Latha Palaniappan, Nigam H. Shah:
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk. - Rishabh K. Iyer, Nimit Acharya, Tanuja Bompada, Denis Charles, Eren Manavoglu:
A Unified Batch Online Learning Framework for Click Prediction. - Christopher Duffy, Jarrod Pas:
The Simple Chromatic Number of (m, n)-Mixed Graphs. - Andy Newell, Sergey Pupyrev:
Improved Basic Block Reordering. - Alice Mizrahi, Thomas Marsh, Brian Hoskins, Mark D. Stiles:
A scalable method to find the shortest path in a graph with circuits of memristors. - Amit Zohar, Lior Wolf:
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector. - Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. - Jiahao Chen
:
Fair lending needs explainable models for responsible recommendation. - Akiko Eriguchi, Melvin Johnson, Orhan Firat, Hideto Kazawa, Wolfgang Macherey:
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation. - Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. - Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. - Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz:
Learning to Summarize Radiology Findings. - Ryan Gabrys, Farzad Farnoud:
Reconciling Similar Sets of Data. - Bernard Llanos, Yee-Hong Yang:
Do-It-Yourself Single Camera 3D Pointer Input Device. - Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. - Ikhlas Alhussien, Erik Cambria, Zhang NengSheng:
Semantically Enhanced Models for Commonsense Knowledge Acquisition. - Hiba Khalid, Esteban Zimányi, Robert Wrembel:
Evaluation of Semantic Metadata Pair Modelling Using Data Clustering. - Galin Georgiev:
Linear Algebra and Duality of Neural Networks. - Ali Al-Shuwaili
, Ahmed Q. Lawey:
Achieving Low-Latency Mobile Edge Computing by Uplink and Downlink Decoupled Access in HetNets. - Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski:
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. - Bing Yao, Xiaohui Zhang, Hui Sun, Yarong Mu, Yirong Sun, Xiaomin Wang, Hongyu Wang, Fei Ma, Jing Su, Chao Yang, Sihua Yang, Mingjun Zhang:
Text-based Passwords Generated From Topological Graphic Passwords. - Alireza Shafaei, Mark Schmidt, James J. Little:
Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors. - Wei Zhou, Alex Zyner, Stewart Worrall, Eduardo M. Nebot:
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective. - Hao Guo, Ehsan Meamari, Chien-Chung Shen:
Blockchain-inspired Event Recording System for Autonomous Vehicles. - Yueyue Chen, Deke Guo, Ming Xu, Guoming Tang, Tongqing Zhou, Bangbang Ren:
PPtaxi: Non-stop Package Delivery via Multi-hop Ridesharing. - Junming Zhang, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery. - Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness-aware Classification: Criterion, Convexity, and Bounds. - Sweta Karlekar, Mohit Bansal:
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. - Yingjie Yin, Lei Zhang, De Xu, Xingang Wang:
Adversarial Feature Sampling Learning for Efficient Visual Tracking. - Tao Yang, Georgios Arvanitidis, Dongmei Fu, Xiaogang Li, Søren Hauberg:
Geodesic Clustering in Deep Generative Models. - Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Inject Spoofed Measurement Data. - Dan Li, Dacheng Chen, Jonathan Goh, See-Kiong Ng:
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. - Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. - Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. - Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to Fully Automatic 3D Hair Model. - Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian D. Reid:
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. - Emanuele De Angelis
, Fabio Fioravanti
, Adrián Palacios, Alberto Pettorossi, Maurizio Proietti:
Bounded Symbolic Execution for Runtime Error Detection of Erlang Programs. 19-26 - Ekaterina Komendantskaya, Yue Li:
Towards Coinductive Theory Exploration in Horn Clause Logic: Position Paper. 27-33 - António Ravara:
A Simple Functional Presentation and an Inductive Correctness Proof of the Horn Algorithm. 34-48 - Saba Eskandarian, Jonathan Cogan, Sawyer Birnbaum, Peh Chang Wei Brandon, Dillon Franke, Forest Fraser, Gaspar Garcia Jr., Eric Gong, Hung T. Nguyen, Taresh K. Sethi, Vishal Subbiah, Michael Backes, Giancarlo Pellegrino, Dan Boneh:
Fidelius: Protecting User Secrets from Compromised Browsers. - Seong-Eun Moon, Jong-Seok Lee:
Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals. - Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Generative adversarial network-based image super-resolution using perceptual content losses. - Sridhar Adepu, Aditya Mathur:
Assessing the Effectiveness of Attack Detection at a Hackfest on Industrial Control Systems. - Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality. - Jiliang Zhang, Xiaoxiong Jiang:
Adversarial Examples: Opportunities and Challenges. - Jelena Mladenovic:
Considering Gut Biofeedback for Emotion Regulation. - Marcel Salathé, Thomas Wiegand, Markus Wenzel:
Focus Group on Artificial Intelligence for Health. - Homa Esfahanizadeh, Ahmed H. Hareedy, Lara Dolecek:
Multi-Dimensional Spatially-Coupled Code Design Through Informed Relocation of Circulants. - Atsushi Miyauchi, Akiko Takeda:
Robust Densest Subgraph Discovery. - Benjamin Smith
:
Pre- and post-quantum Diffie-Hellman from groups, actions, and isogenies. - Emmanuel Abbe, Enric Boix, Peter Ralli, Colin Sandon:
Graph powering and spectral robustness. - Kent Fujiwara, Ikuro Sato, Mitsuru Ambai, Yuichi Yoshida, Yoshiaki Sakakura:
Canonical and Compact Point Cloud Representation for Shape Classification. - François Michel, Quentin De Coninck, Olivier Bonaventure:
Adding Forward Erasure Correction to QUIC. - Haichao Shi, Peng Li, Bo Wang, Zhenyu Wang:
Image Captioning based on Deep Reinforcement Learning. - Çagri Çöltekin, Taraka Rama:
Tübingen-Oslo system: Linear regression works the best at Predicting Current and Future Psychological Health from Childhood Essays in the CLPsych 2018 Shared Task. - Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-based Driving Models. - Camil Octavian Milincu, Otilia Alexandra Tudoran, Paul Florin Tarce, Ovidiu Banias:
Hybrid design tools - making of a digitally augmented blackboard. - Dennis Ehlers, Markku Suomalainen, Jens Lundell, Ville Kyrki:
Imitating Human Search Strategies for Assembly. - Annemarie Borg, Christian Straßer:
Relevance in Structured Argumentation. - Qichun Wang:
The Covering Radius of the Reed-Muller Code RM(2, 7) is 40. - Jens Lundell, Francesco Verdoja, Ville Kyrki:
Deep Network Uncertainty Maps for Indoor Navigation. - Shuai Feng, Ahmet Cetinkaya, Hideaki Ishii, Pietro Tesi, Claudio De Persis:
Data Rates for Stabilizing Control under Denial-of-Service Attacks. - Michele Colledanchise, Lorenzo Natale:
Improving the Parallel Execution of Behavior Trees. - Pengcheng Li, Jinfeng Yi, Lijun Zhang:
Query-Efficient Black-Box Attack by Active Learning. - Anatoly Khina, Yorie Nakahira, Yu Su, Hikmet Yildiz, Babak Hassibi:
Algorithms for Optimal Control with Fixed-Rate Feedback. - Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher:
Coordination-driven learning in multi-agent problem spaces. - Juan E. Machado, José Arocas-Pérez, Wei He, Romeo Ortega, Robert Griñó:
Active Damping of a DC Network with a Constant Power Load: An Adaptive Passivity-based Control Approach. - Till Knollmann, Christian Scheideler:
A Self-Stabilizing Hashed Patricia Trie. - Grzegorz Ficht, Dmytro Pavlichenko, Philipp Allgeuer, Hafez Farazi, Diego Rodriguez, André Brandenburger, Johannes Kürsch, Michael Schreiber, Sven Behnke:
Grown-up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions. - Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Multimodal Local-Global Ranking Fusion for Emotion Recognition. - Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun:
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts. - Raka Jovanovic, Milan Tuba, Stefan Voß:
Fixed set search applied to the traveling salesman problem. - Eran Raveh, Ingmar Steiner, Iona Gessinger, Bernd Möbius
:
Studying Mutual Phonetic Influence with a Web-Based Spoken Dialogue System. - Kazuyoshi Tsuchiya, Chiaki Ogawa, Yasuyuki Nogami, Satoshi Uehara:
Linear Complexity of Geometric Sequences Defined by Cyclotomic Classes and Balanced Binary Sequences Constructed by the Geometric Sequences. - Shuming Ma, Lei Cui, Furu Wei, Xu Sun:
Unsupervised Machine Commenting with Neural Variational Topic Model. - Abolfazl Qiyasi Moghadam, Mehdi Imani:
ISO/EPC Addressing Methods to Support Supply Chain in the Internet of Things. - Peiming Li, Jie Xu:
Placement Optimization for UAV-Enabled Wireless Networks with Multi-Hop Backhaul. - Ahsan Adeel, Jawad Ahmad, Amir Hussain:
Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid. - Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä:
Gaussian process classification using posterior linearisation. - Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-based Distributed Coordination Maximization over Networks. - Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Sparse Label Smoothing for Semi-supervised Person Re-Identification. - Anisse Ismaili:
On Existence, Mixtures, Computation and Efficiency in Multi-objective Games. - Borna Obradovic, Titash Rakshit, Ryan Hatcher, Jorge Kittl, Mark S. Rodder:
High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training. - Kalpit C. Thakkar, P. J. Narayanan:
Part-based Graph Convolutional Network for Action Recognition. - Dongao Ma, Ping Tang, Li-Jun Zhao:
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro. - István Sárándi
, Timm Linder, Kai Oliver Arras, Bastian Leibe:
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation. - Eric Crawford, Guillaume Rabusseau, Joelle Pineau:
Sequential Coordination of Deep Models for Learning Visual Arithmetic. - Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski:
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. - Olga Veksler:
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges. - Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama:
Clipped Matrix Completion: a Remedy for Ceiling Effects. - Maarten Schoukens, Roland Tóth:
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples. - Son-Il Kwak, Gum-ju Kim, Michio Sugeno, Gwang-chol Li, Myong-suk Son, Hyok-chol Kim, Un-ha Kim:
Reductive property of new fuzzy reasoning method based on distance measure. - Teun Janssen, Céline M. F. Swennenhuis, Abdoul Bitar, Thomas Bosman, Dion Gijswijt, Leo van Iersel, Stéphane Dauzère-Pérès, Claude Yugma:
Parallel Machine Scheduling with a Single Resource per Job. - Maarten Schoukens, Roland Tóth:
Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems. - Christian Scheideler, Alexander Setzer:
Relays: A New Approach for the Finite Departure Problem in Overlay Networks. - Ayrat Khalimov, Benedikt Maderbacher, Roderick Bloem:
Bounded Synthesis of Register Transducers. - Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel:
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. - Tjerk Stegink, Claudio De Persis, A. J. van der Schaft:
An energy-based analysis of reduced-order models of (networked) synchronous machines. - Peiyuan Liao, Jiajun Mao:
Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation. - Navaneethkrishnan B, Pranjal Biswas, Saumya Kumaar Saksena, Gautham Anand, S. N. Omkar:
State-Space Identification of Unmanned Helicopter Dynamics using Invasive Weed Optimization Algorithm on Flight Data. - Claudio Soriente, Ghassan Karame, Wenting Li, Sergey Fedorov:
ReplicaTEE: Enabling Seamless Replication of SGX Enclaves in the Cloud. - Yawei Hui, Yaohua Liu
, Byung-Hoon Park:
Discovering Features in Sr14Cu24O41 Neutron Single Crystal Diffraction Data by Cluster Analysis. - Longchun Wang, Qingguo Li:
Categorical Representations of Continuous Domains and Continuous L-Domains Based on Closure Spaces. - Xiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qinping Zhao, Kai Xu:
Learning to Group and Label Fine-Grained Shape Components. - Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. - Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, Weizhu Chen:
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles. - Matthias Becker, Nicolas Ginoux, Sébastien Martin, Zsuzsanna Róka:
Tire Noise Optimization Problem: a Mixed Integer Linear Program Approach. - Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. - Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion and Reconstruction. - Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. - Naveen Goela, Maxim Raginsky:
Channel Polarization through the Lens of Blackwell Measures. - Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso:
Derivative-free online learning of inverse dynamics models. - Yawei Hui, Yaohua Liu:
Computer Vision-aided Atom Tracking in STEM Imaging. - Shipra Agrawal, Mohammad Shadravan, Cliff Stein:
Submodular Secretary Problem with Shortlists. - Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Giulia Fanti, Pramod Viswanath:
Routing Cryptocurrency with the Spider Network. - Gregory Palmer, Rahul Savani, Karl Tuyls:
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. - (Withdrawn) Towards Secure Infrastructure-based Cooperative Adaptive Cruise Control.
- Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena:
Enhanced Network Embeddings via Exploiting Edge Labels. - Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh:
IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks. - Stephen Ragain, Johan Ugander:
Choosing to Rank. - Alec Kirkley, George T. Cantwell, M. E. J. Newman:
Balance in signed networks. - Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University. - Nikita Klyuchnikov, Evgeny Burnaev:
Laplace Inference for Multi-fidelity Gaussian Process Classification. - Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi:
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems. - Dominik Baumann, Jia-Jie Zhu, Georg Martius, Sebastian Trimpe:
Deep Reinforcement Learning for Event-Triggered Control. - Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth:
On the Strength of Character Language Models for Multilingual Named Entity Recognition. - Susu Xu, Weiguang Mao, Yue Cao, Hae Young Noh, Nihar B. Shah:
An Incentive Mechanism for Crowd Sensing with Colluding Agents. - Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. - Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis:
Explainable time series tweaking via irreversible and reversible temporal transformations. - Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura:
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. - Jaspreet Singh, Avishek Anand:
Interpreting search result rankings through intent modeling. - Niankai Yang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun:
Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle. - Rohan Bavishi, Michael Pradel, Koushik Sen:
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts. - Tobias Eckl:
Organic Computing as Chance for Interwoven Systems. - Dan Iorga, Tyler Sorensen, Alastair F. Donaldson:
Do Your Cores Play Nicely? A Portable Framework for Multi-core Interference Tuning and Analysis. - Zhanwei Du, Spencer J. Fox, Petter Holme, Jiming Liu, Alison P. Galvani, Lauren Ancel Meyers:
Periodicity in Movement Patterns Shapes Epidemic Risk in Urban Environments. - Yu Cheng, Nick Gravin, Kamesh Munagala, Kangning Wang:
A Simple Mechanism for a Budget-Constrained Buyer. - Laramie Paxton, Yufeng Cao, Kevin R. Vixie, Yuan Wang, Brian Hobbs, Chaan Ng:
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors. - Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel:
Model-Based Reinforcement Learning via Meta-Policy Optimization. - Vismay Agrawal, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi:
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. - Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. - Vu D. Tran
, Minh Le Nguyen, Ken Satoh:
Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks. - Soobeom Jang, Jong-Seok Lee:
On Evaluating Perceptual Quality of Online User-Generated Videos. - Hyeonwoo Yu, Beom Hee Lee:
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM. - Weigao Sun, Mohsen Zamani, Hai-Tao Zhang, Yuanzheng Li:
Probabilistic Optimal Power Flow Considering Correlation of Wind Farms via Markov Chain Quasi-Monte Carlo Sampling. - Petar Radanliev
, David Charles De Roure, Razvan Nicolescu, Michael Huth, Rafael Montalvo Mantilla, Stacy Cannady, Peter Burnap:
Future developments in cyber risk assessment for the internet of things. - Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. - Raphael Schumann:
Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder. - Camila F. Costa, Mario A. Nascimento:
In-Route Task Selection in Crowdsourcing. - Dea Saka Kurnia Putra, Edit Prima:
Evaluating Certificate Policy - Certification Practice Statement of Unique Government Certification Authority using Public Key Infrastructure Assessment Guidelines: Research in Progress. - Dea Saka Kurnia Putra, Mohamad Ali Sadikin, Susila Windarta:
S-Mbank: Secure Mobile Banking Authentication Scheme Using Signcryption, Pair Based Text Authentication, and Contactless Smartcard. - Tao Ouyang, Zhi Zhou, Xu Chen:
Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing. - Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.:
Graph Pattern Mining and Learning through User-defined Relations (Extended Version). - Ryan A. Robinett, Jeremy Kepner:
Neural Network Topologies for Sparse Training. - Kamal Chaturvedi, Jia Yuan Yu, Shrisha Rao:
Distributed and Efficient Resource Balancing Among Many Suppliers and Consumers. - Lingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan:
Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. - Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. - Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha, Sandya Mannarswamy:
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection. - Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin:
SQL-to-Text Generation with Graph-to-Sequence Model. - Mehmet Necip Kurt, Oyetunji E. Ogundijo, Chong Li, Xiaodong Wang:
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach. - Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock:
Random Warping Series: A Random Features Method for Time-Series Embedding. - Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. - Tanaka Kanji:
Detection-by-Localization: Maintenance-Free Change Object Detector. - Mandeep Kaur, Diego Mollá:
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data. - Mrityunjay Kumar, Guntur Ravindra:
Learning to Fingerprint the Latent Structure in Question Articulation. - Jannik Hahn, Richard Schöffauer, Gerhard Wunder, Olaf Stursberg:
Distributed MPC with Prediction of Time-Varying Communication Delay. - Diego Mollá:
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based multi-document summarisation. - Zhonghua Wu, Guosheng Lin, Jianfei Cai:
Keypoint Based Weakly Supervised Human Parsing. - Kian Ghodoussi, Nihar Sheth, Zane Durante, Markie Wagner:
Deep CNN Frame Interpolation with Lessons Learned from Natural Language Processing. - Mathew C. Francis, Daniel Gonçalves:
Dushnik-Miller dimension of d-dimensional tilings with boxes. - Juraj Juraska, Marilyn A. Walker:
Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs. - Zaiyi Chen:
Efficient Rank Minimization via Solving Non-convexPenalties by Iterative Shrinkage-Thresholding Algorithm. - Deng Cai, Yan Wang, Victoria Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi:
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. - Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman:
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. - Hanxiao Liu, Jiaqi Yan, Yilin Mo, Karl Henrik Johansson:
An On-line Design of Physical Watermarks. - Vaishak Belle:
On Plans With Loops and Noise. - Vaishak Belle, Hector J. Levesque:
Reasoning about Discrete and Continuous Noisy Sensors and Effectors in Dynamical Systems. - Irem Bor-Yaliniz, Amr El-Keyi, Halim Yanikomeroglu:
Spatial Configuration of Agile Wireless Networks with Drone-BSs and User-in-the-loop. - Andreas Orthey, Olivier Roussel, Olivier Stasse, Michel Taïx:
Motion Planning in Irreducible Path Spaces. - Gianluca Brero, Sébastien Lahaie, Sven Seuken:
Fast Iterative Combinatorial Auctions via Bayesian Learning. - Wen-bing Huang, Tong Zhang
, Yu Rong, Junzhou Huang:
Adaptive Sampling Towards Fast Graph Representation Learning. - Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee:
TED Talk Recommender Using Speech Transcripts. - Monwen Shen, Gulnar Rakhmetulla, Ahmed Sabbir Arif:
Put a Ring on It: Text Entry Performance on a Grip Ring Attached Smartphone. - Diego Rodriguez, Corbin Cogswell, Seongyong Koo, Sven Behnke:
Transferring Grasping Skills to Novel Instances by Latent Space Non-Rigid Registration. - Chung-Chi Chen, Hen-Hsen Huang, Yow-Ting Shiue, Hsin-Hsi Chen:
Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting. - Martin Harrigan, Lei Shi, Jacob Illum:
Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis. - Diego Rodriguez, Hafez Farazi, Philipp Allgeuer, Dmytro Pavlichenko, Grzegorz Ficht, André Brandenburger, Johannes Kürsch, Sven Behnke:
Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo. - Chris Norval, Jennifer Cobbe, Heleen Janssen, Jatinder Singh:
Reclaiming Data: Overcoming app identification barriers for exercising data protection rights. - Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. - Diego Rodriguez, André Brandenburger, Sven Behnke:
Combining Simulations and Real-robot Experiments for Bayesian Optimization of Bipedal Gait Stabilization. - Philip T. G. Jackson
, Amir Atapour Abarghouei, Stephen Bonner
, Toby P. Breckon, Boguslaw Obara:
Style Augmentation: Data Augmentation via Style Randomization. - Dmytro Pavlichenko, Germán Martín García, Seongyong Koo, Sven Behnke:
KittingBot: A Mobile Manipulation Robot for Collaborative Kitting in Automotive Logistics. - Yu. V. Yechkalo:
Tools of computer simulation in learning physics. - Kateryna Slovak, Maiia Popel
:
The application features MMC mobile SAGE course of Mathematics. - Diego Rodriguez, Sven Behnke:
Transferring Category-based Functional Grasping Skills by Latent Space Non-Rigid Registration. - Chongwen Huang, George C. Alexandropoulos, Alessio Zappone, Mérouane Debbah, Chau Yuen:
Energy Efficient Multi-User MISO Communication using Low Resolution Large Intelligent Surfaces. - Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang:
SCORES: Shape Composition with Recursive Substructure Priors. - Lisa Loomis, Nathan McDonald, Cory E. Merkel:
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic. - (Withdrawn) Socially Aware Kalman Neural Networks for Trajectory Prediction.
- Welder Pinheiro Luz, Gustavo Pinto, Rodrigo Bonifácio:
Building a Collaborative Culture: A Grounded Theory of Well Succeeded DevOps Adoption in Practice. - Ran Ben-Basat, Seungbum Jo, Srinivasa Rao Satti, Shubham Ugare:
Approximate Query Processing over Static Sets and Sliding Windows. - Dong Fang, Yu-Chih Huang, Giovanni Geraci, Zhiguo Ding, Holger Claussen:
Enhanced Multiuser Superposition Transmission through Structured Modulation. - Nicolas Bousquet, Arnaud Mary
:
Reconfiguration of graphs with connectivity constraints. - Wicak Ananduta, José María Maestre, Carlos Ocampo-Martinez, Hideaki Ishii:
Resilient Distributed Energy Management for Systems of Interconnected Microgrids. - Ian Blanes, Miguel Hernández-Cabronero, Joan Serra-Sagristà, Michael W. Marcellin:
Bounds on the Redundancy of Huffman Codes with Known and Unknown Probabilities. - Panagiotis Mandros, Mario Boley, Jilles Vreeken:
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. - Janne Tommola, Pedram Ghazi, Bishwo Adhikari, Heikki Huttunen:
Real Time System for Facial Analysis. - Diana Marculescu, Dimitrios Stamoulis, Ermao Cai:
Hardware-Aware Machine Learning: Modeling and Optimization. - Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler:
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. - Daniel Tischner:
Multi-Modal Route Planning in Road and Transit Networks. - Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana:
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. - Pavel Naumov, Jia Tao:
Blameworthiness in Strategic Games. - Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman:
MoSculp: Interactive Visualization of Shape and Time. - Luis M. Vaquero, Félix Cuadrado
:
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning. - Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
:
Elastic Registration of Geodesic Vascular Graphs. - Marco Cavallo, Angus Graeme Forbes:
CAVE-AR: A VR User Interface to Interactively Design, Monitor, and Facilitate AR Experiences. - Uwe Springmann, Christian Reul
, Stefanie Dipper, Johannes Baiter:
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin. - Eunjeong Stella Koh, Shahrokh Yadegari:
Mugeetion: Musical Interface Using Facial Gesture and Emotion. - Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. - Zhiyong Sun
, Marcus Greiff, Anders Robertsson, Rolf Johansson:
Feasibility and coordination of multiple mobile vehicles with mixed equality and inequality constraints. - Jiayin Xie, Nilanjan Chakraborty:
Dynamic Models of Planar Sliding. - Marko Angjelichinoski, Kasper Fløe Trillingsgaard, Petar Popovski:
A Statistical Learning Approach to Ultra-Reliable Low Latency Communication. - David Portugal, Luís Santos, Pedro Trindade, Christophoros Christophorou, Panayiotis Andreou, Dimosthenis Georgiadis, Marios Belk, João Freire, Paulo Alvito, George Samaras, Eleni Christodoulou, Jorge Dias:
SocialRobot: Towards a Personalized Elderly Care Mobile Robot. - Bryan Wilder, Yevgeniy Vorobeychik:
Defending Elections Against Malicious Spread of Misinformation. - Tong Wu, Wenfeng Zhao, Edward W. Keefer, Zhi Yang:
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording. - Prasanna Parthasarathi, Joelle Pineau:
Extending Neural Generative Conversational Model using External Knowledge Sources. - Zakaria Elmrabet, Hamid El Ghazi, Tayeb Sadiki, Hassan El Ghazi:
A New Secure Network Architecture to Increase Security Among Virtual Machines in Cloud Computing. - Eduardo M. Hargreaves, Claudio Agosti, Daniel Sadoc Menasché, Giovanni Neglia, Alexandre Reiffers-Masson, Eitan Altman:
Fairness in Online Social Network Timelines: Measurements, Models and Mechanism Design. - Heejin Choi:
Efficient Structured Surrogate Loss and Regularization in Structured Prediction. - Brayan S. Zapata-Impata, Pablo Gil
, Fernando Torres Medina:
Non-Matrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability? - Jiayin Xie, Nilanjan Chakraborty:
Rigid Body Dynamic Simulation with Multiple Convex Contact Patches. - Sharon Shasha, Moustafa Mahmoud, Mohammad Mannan, Amr M. Youssef:
Smart But Unsafe: Experimental Evaluation of Security and Privacy Practices in Smart Toys. - Hongming Li, Xiaofeng Zhu, Yong Fan:
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. - Hongming Li, Yong Fan:
Identification of temporal transition of functional states using recurrent neural networks from functional MRI. - Hongming Li, Yong Fan:
Brain decoding from functional MRI using long short-term memory recurrent neural networks. - Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. - Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez
, Rajkumar Buyya:
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions. - Ryan Gabbard, Jay DeYoung, Marjorie Freedman:
Events Beyond ACE: Curated Training for Events. - Valérie Poulin, François Théberge:
Ensemble Clustering for Graphs. - Philipp Jordan, Brett Oppegaard:
Media Accessibility Policy in Theory and Reality: Empirical Outreach to Audio Description Users in the United States. - Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. - Luca Tessaro, Cristiano Raffaldi, Maurizio Rossi, Davide Brunelli:
Lightweight Synchronization Algorithm with Self-Calibration for Industrial LORA Sensor Networks. - Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Akilan Thangarajah:
Non-iterative recomputation of dense layers for performance improvement of DCNN. - Wazeer Zulfikar, Sebastin Santy, Sahith N. Dambekodi, Tirtharaj Dash:
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance. - Mehrdad Salimitari, Mainak Chatterjee:
An Overview of Blockchain and Consensus Protocols for IoT Networks. - Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler:
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. - Yichun Shi, Anil K. Jain:
DocFace+: ID Document to Selfie Matching. - Jukka Ruohonen, Joonas Salovaara, Ville Leppänen:
On the Integrity of Cross-Origin JavaScripts. - Yaohua Sun, Mugen Peng, Shiwen Mao:
Deep Reinforcement Learning Based Mode Selection and Resource Management for Green Fog Radio Access Networks. - Raghuram Mandyam Annasamy, Katia P. Sycara:
Towards Better Interpretability in Deep Q-Networks. - Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. - Yingjie Hu:
Geo-Text Data and Data-Driven Geospatial Semantics. - Yifu Zhang, Jorge Cortés:
Distributed Transient Frequency Control for Power Networks with Stability and Performance Guarantees. - Yifu Zhang, Jorge Cortés:
Transient frequency control with regional cooperation for power networks. - Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo:
OffsetNet: Deep Learning for Localization in the Lung using Rendered Images. - Salman Habib, Jörg Kliewer:
Algebraic Optimization of Binary Spatially Coupled Measurement Matrices for Interval Passing. - Atsushi Igarashi, Peter Thiemann, Yuya Tsuda, Vasco T. Vasconcelos, Philip Wadler:
Gradual Session Types. - Stephen Pauwels, Toon Calders:
Detecting and Explaining Drifts in Yearly Grant Applications. - Hyun Dok Cho, Okwan Kwon, Samuel P. Midkiff:
HDArray: Parallel Array Interface for Distributed Heterogeneous Devices. - Jingbin Zhong, Xiaofeng Zhang:
Wasserstein Autoencoders for Collaborative Filtering. - Xiaohu Ge:
Distinguished Capabilities of Artificial Intelligence Wireless Communication Systems. - Eman Salem Alashwali, Pawel Szalachowski:
DSTC: DNS-based Strict TLS Configurations. - Michal Pilipczuk, Sebastian Siebertz:
Kernelization and approximation of distance-r independent sets on nowhere dense graphs. - Prabhat Nagarajan, Garrett Warnell, Peter Stone:
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. - Liang Yao, Chengsheng Mao, Yuan Luo:
Graph Convolutional Networks for Text Classification. - Wenhao Ding, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. - Eman Salem Alashwali, Kasper Rasmussen:
What's in a Downgrade? A Taxonomy of Downgrade Attacks in the TLS Protocol and Application Protocols Using TLS. - Elham Ashoori, Terry Rudolph:
Commentary on Quantum-Inspired Information Retrieval. - Eman Salem Alashwali, Kasper Rasmussen:
On the Feasibility of Fine-Grained TLS Security Configurations in Web Browsers Based on the Requested Domain Name. - Matthias Dorfer, Jan Hajic Jr., Gerhard Widmer:
Attention as a Perspective for Learning Tempo-invariant Audio Queries. - Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang:
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications. - Ta-Chung Chi, Yun-Nung Chen:
CLUSE: Cross-Lingual Unsupervised Sense Embeddings. - Kutlu Emre Yilmaz, Osman Abul:
Inferring Political Alignments of Twitter Users: A case study on 2017 Turkish constitutional referendum. - Mayank Mittal, Abhinav Valada, Wolfram Burgard:
Vision-based Autonomous Landing in Catastrophe-Struck Environments. - I. S. W. B. Prasetya, Minh An Tran:
Neural Networks as Artificial Specifications. - Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama:
Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. - Philipp Ennen, Pia Bresenitz, René Vossen, Frank Hees:
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes. - Chih-Wen Goo, Yun-Nung Chen:
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts. - S. Ramakrishnan, Venkatesh Ramaiyan:
Completely Uncoupled Algorithms for Network Utility Maximization. - Thuong Nguyen Canh, Byeungwoo Jeon:
Multi-Scale Deep Compressive Sensing Network. - Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. - Luca Paolini, Mauro Piccolo, Margherita Zorzi:
QPCF: higher order languages and quantum circuits. - Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. - S. Ramakrishnan, Venkatesh Ramaiyan, Kolar Purushothama Naveen:
Completely Uncoupled User Association Algorithms for State Dependent Wireless Networks. - Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. - Joost Engelfriet, Hendrik Jan Hoogeboom
, Bart Samwel:
XML Navigation and Transformation by Tree-Walking Automata and Transducers with Visible and Invisible Pebbles. - Vishwali Mhasawade, Ildikó Emese Szabó, Melanie Tosik, Sheng-Fu Wang:
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? - Fynn Schröder, Marcel Kamlot, Gregor Billing, Arne Köhn:
Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task. - Longcheng Liu, Yong Chen, Jianming Dong, Randy Goebel, Guohui Lin, Yue Luo, Guanqun Ni, Bing Su, An Zhang:
Approximation algorithms for the three-machine proportionate mixed shop scheduling. - Eben Holderness, Nicholas Miller, Philip Cawkwell, Kirsten Bolton, James Pustejovsky, Marie Meteer, Mei-Hua Hall:
Analysis of Risk Factor Domains in Psychosis Patient Health Records. - Lin Liu, Chunyuan Li, Yongfu Li, Srinivas Peeta, Lei Lin:
Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis. - Michael Warren, Melissa Greeff, Bhavit Patel, Jack Collier, Angela P. Schoellig, Timothy D. Barfoot:
There's No Place Like Home: Visual Teach and Repeat for Emergency Return of Multirotor UAVs During GPS Failure. - John Kingston:
Choosing a Knowledge Dissemination Approach. - John K. C. Kingston:
Using Artificial Intelligence to Support Compliance with the General Data Protection Regulation. - Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering:
Sampled Policy Gradient for Learning to Play the Game Agar.io. - Waqas ur Rehman, Arshad Hussain, M. Majid Butt:
Joint User Association and BS Switching Scheme for Green Heterogeneous Cellular Network. - Joaquín Arias, Manuel Carro:
Description, Implementation, and Evaluation of a Generic Design for Tabled CLP. - Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze:
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. - Melvin Wong, Bilal Farooq:
Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. - Ankit Shah, Jean-Baptiste Lamare, Tuan Nguyen Anh, Alexander G. Hauptmann:
Accident Forecasting in CCTV Traffic Camera Videos. - David López, Bilal Farooq:
A blockchain framework for smart mobility. - Yasin Almalioglu, Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Andrew Markham, Niki Trigoni:
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. - Arash Kalatian, Bilal Farooq:
Mobility Mode Detection Using WiFi Signals. - Marek Adamczyk, Jaroslaw Byrka, Jan Marcinkowski, Syed Mohammad Meesum, Michal Wlodarczyk:
Constant factor FPT approximation for capacitated k-median. - Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. - Robin Deits, Twan Koolen, Russ Tedrake:
LVIS: Learning from Value Function Intervals for Contact-Aware Robot Controllers. - Kasia Swirydowicz, Julien Langou, Shreyas Ananthan, Ulrike Meier Yang, Stephen J. Thomas:
Low synchronization GMRES algorithms. - Yunfei Long, Mingyu Ma, Qin Lu, Rong Xiang, Chu-Ren Huang:
Dual Memory Network Model for Biased Product Review Classification. - Han Xiao, Çigdem Aslay, Aristides Gionis:
Robust Cascade Reconstruction by Steiner Tree Sampling. - Boyi Yang, Adam Wright:
Development of deep learning algorithms to categorize free-text notes pertaining to diabetes: convolution neural networks achieve higher accuracy than support vector machines. - Danish Khalidi, Indranil Saha:
T* : A Heuristic Search Based Algorithm for Motion Planning with Temporal Goals. - Ziniu Hu, Yang Wang, Qu Peng, Hang Li:
A Novel Algorithm for Unbiased Learning to Rank. - Hai Nguyen, Hung Manh La, Matthew C. Deans:
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator. - Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. - Wentu Song, Kui Cai:
Sequence-Subset Distance and Coding for Error Control in DNA-based Data Storage. - Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin:
Aesthetic-based Clothing Recommendation. - Gazi Karam Illahi, Thomas Van Gemert, Matti Siekkinen, Enrico Masala, Antti Oulasvirta, Antti Ylä-Jääski:
Cloud Gaming With Foveated Graphics. - Michael Danielczuk
, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg:
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. - (Withdrawn) Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Networks with High-Resolution Images.
- Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti, Nader Karimi, Kayvan Najarian, S. M. Reza Soroushmehr, Shadrokh Samavi:
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network. - Kyudong Park, Dohyeon Kim, Sung H. Han:
Usability of the Size, Spacing, and Depth of Virtual Buttons on Head-Mounted Displays. - Praboda Rajapaksha, Reza Farahbakhsh, Noël Crespi, Bruno Defude:
Inspecting Interactions: Online News Media Synergies in Social Media. - Zhenyi He, Fengyuan Zhu, Ken Perlin, Xiaojuan Ma:
Manifest the Invisible: Design for Situational Awareness of Physical Environments in Virtual Reality. - Drazen Lucanin, Ivona Brandic:
Pervasive Cloud Controller for Geotemporal Inputs. - Gautham Krishna Gudur, Karthik Subramanian Nathan, Yogesh Kumar B, Ankith A. Prabhu, Ajay Kannan, Vineeth Vijayaraghavan:
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning. - Drazen Lucanin, Ilia Pietri, Ivona Brandic, Rizos Sakellariou:
A Cloud Controller for Performance-Based Pricing. - Drazen Lucanin, Ilia Pietri, Simon Holmbacka, Ivona Brandic, Johan Lilius, Rizos Sakellariou
:
Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. - Marc Wolf, François Wolf
, Corentin Le Coz:
Calculation of extended gcd by normalization. - Zuxin Liu, Mansur Arief, Ding Zhao
:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. - Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification. - Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. - Drazen Lucanin:
Energy Efficient Cloud Control and Pricing in Geographically Distributed Data Centers. - Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin, Eva Darulova, Lara Dolecek, Andreas Gerstlauer, Ghayoor Gillani, Djordje Jevdjic, Thierry Moreau, Mattia Cacciotti, Alexandros Daglis, Natalie D. Enright Jerger, Babak Falsafi, Sasa Misailovic, Adrian Sampson, Damien Zufferey:
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms. - Jianlin Su, Guang Wu:
f-VAEs: Improve VAEs with Conditional Flows. - Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanic:
Cocktails, but no party: multipath-enabled private audio. - Yao Zhai, Xun Guo, Yan Lu, Houqiang Li:
In Defense of the Classification Loss for Person Re-Identification. - Kyudong Park, Sung H. Han, Hojin Lee:
A Study on Shared Steering Control in Driving Experience Perspective: How Strong and How Soon Should Intervention Be? - Nir Baram, Shie Mannor:
Inspiration Learning through Preferences. - Sanket Tavarageri, Nag Mani
, Anand Ramasubramanian, Jaskiran Kalsi:
A Data Analytics Framework for Aggregate Data Analysis. - Olusanya Y. Agunbiade, Olumuyiwa J. Dehinbo, Tranos Zuva, Adeyinka K. Akanbi:
Road Detection Technique Using Filters with Application to Autonomous Driving System. - Abdallah Moussawi, Kamal Haddad, Anthony Chahine:
An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles. - Eugene d'Eon:
A Reciprocal Formulation of Non-Exponential Radiative Transfer. 2: Monte Carlo Estimation and Diffusion Approximation. - Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang, Chunhong Pan:
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection. - James O'Neill, Danushka Bollegala:
Semi-Supervised Multi-Task Word Embeddings. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
An investigation of a deep learning based malware detection system. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. - Adeyinka K. Akanbi, Muthoni Masinde:
Semantic Interoperability Middleware Architecture for Heterogeneous Environmental Data Sources. - Markku Hinkka, Teemu Lehto, Keijo Heljanko
, Alexander Jung:
Classifying Process Instances Using Recurrent Neural Networks. - Sebastian Gottwald, Daniel A. Braun:
Systems of bounded rational agents with information-theoretic constraints. - Hunt Allcott, Matthew Gentzkow, Chuan Yu:
Trends in the Diffusion of Misinformation on Social Media. - Aastha Madaan, Jason R. C. Nurse, David De Roure, Kieron O'Hara, Wendy Hall, Sadie Creese:
A Storm in an IoT Cup: The Emergence of Cyber-Physical Social Machines. - Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
MeshCNN: A Network with an Edge. - Zhishuai Han, Xiaojuan Ban, Xiaokun Wang, Di Wu:
Robust and customized methods for real-time hand gesture recognition under object-occlusion. - Shanqing Yu, Minghao Zhao, Chenbo Fu, Huimin Huang, Xincheng Shu, Qi Xuan, Guanrong Chen:
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations. - James O'Neill, Danushka Bollegala:
Curriculum-Based Neighborhood Sampling For Sequence Prediction. - Ankit Agrawal, Renato Mancuso, Rodolfo Pellizzoni, Gerhard Fohler:
Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems. - Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. - Bhaskar DasGupta, Nasim Mobasheri, Ismael González Yero:
On analyzing and evaluating privacy measures for social networks under active attack. - Zhengyu Yang, Manu Awasthi, Mrinmoy Ghosh, Janki Bhimani, Ningfang Mi:
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership. - Swapnam Bajpai, Vaibhav Krishan, Deepanshu Kush, Nutan Limaye, Srikanth Srinivasan:
A #SAT Algorithm for Small Constant-Depth Circuits with PTF gates. - Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine-Grained Classification. - Tuhin Sarkar, Mardavij Roozbehani, Munther A. Dahleh:
Minimal Realization Problems for Jump Linear Systems. - Gerald Berger, Georg Gottlob, Andreas Pieris, Emanuel Sallinger:
The Space-Efficient Core of Vadalog. - Tayyebeh Jahani-Nezhad, Foroogh S. Tabataba:
Performance Analysis of Molecular Spatial Modulation (MSM) in Diffusion based Molecular MIMO Communication Systems. - Jian-Qing Zheng, Xiao-Yun Zhou, Celia V. Riga, Guang-Zhong Yang:
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair. - Athanasia Panousopoulou, Samuel Farrens, Konstantina Fotiadou, Arnaud Woiselle, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides:
A Distributed Learning Architecture for Scientific Imaging Problems. - Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef:
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. - Shuo Li, Michaël M. O. I. Ozo, Christophe De Wagter, Guido C. H. E. de Croon:
Autonomous drone race: A computationally efficient vision-based navigation and control strategy. - Pavel Surynek:
Lazy Modeling of Variants of Token Swapping Problem and Multi-agent Path Finding through Combination of Satisfiability Modulo Theories and Conflict-based Search. - Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu:
Robust Adversarial Perturbation on Deep Proposal-based Models. - Huidong Liu, Yang Guo, Na Lei, Zhixin Shu, Shing-Tung Yau, Dimitris Samaras, Xianfeng Gu:
Latent Space Optimal Transport for Generative Models. - Yuezun Li, Xian Bian, Siwei Lyu:
Attacking Object Detectors via Imperceptible Patches on Background. - Milan S. Derpich:
The Structure of the Realizations of the Causal Information Rate-Distortion Function for Markovian Sources: Realizations with Densities. - Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan:
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. - Dietmar Berwanger, Laurent Doyen:
Observation and Distinction. Representing Information in Infinite Games. - Akshay Shetty, Grace Xingxin Gao:
UAV Pose Estimation using Cross-view Geolocalization with Satellite Imagery. - Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li:
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. - Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. - Ting Liu, Tao Ruan, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao, Thomas S. Huang:
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. - Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong:
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Learning to Accept New Classes without Training. - Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf:
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. - Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner:
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering. - Chuang Niu, Shenghan Ren, Jimin Liang:
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation. - Sangjo Yoo, David González G., Jyri Hämäläinen, Kiseon Kim:
Doppler Spectrum Analysis of a Roadside Scatterer Model for Vehicle-to-Vehicle Channels: An Indirect Method. - Kwangsu Lee:
Ciphertext Outdate Attacks on Xu et al.'s Revocable Attribute-Based Encryption Scheme. - Saber Moradi, Rajit Manohar:
The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems. - Xi Zhang, Jingyuan Chou, Fei Wang:
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network. - Mohammad Javad Khojasteh, Anatoly Khina, Massimo Franceschetti, Tara Javidi:
Authentication of cyber-physical systems under learning-based attacks. - Louis Ly, Yen-Hsi Richard Tsai:
Autonomous Exploration, Reconstruction, and Surveillance of 3D Environments Aided by Deep Learning. - Dave Cliff:
BSE: A Minimal Simulation of a Limit-Order-Book Stock Exchange. - Arpita Singh Chauhan, Ekant Sharma, Rohit Budhiraja:
Hybrid Block Diagonalization for Massive MIMO Two-Way Half-Duplex AF Hybrid Relay. - Zhuming Zhang, Xinghong Hu, Xueting Liu, Tien-Tsin Wong:
Binocular Tone Mapping with Improved Overall Contrast and Local Details. - Manjesh Kumar Hanawal, Sumit Jagdish Darak:
Multi-Player Bandits: A Trekking Approach. - Guillaume Ducoffe, Arne Leitert:
Equivalence between pathbreadth and strong pathbreadth. - Yazan Boshmaf, Husam Al Jawaheri, Mashael Al Sabah:
BlockTag: Design and applications of a tagging system for blockchain analysis. - Daniel Mlakar, Martin Winter, Hans-Peter Seidel, Markus Steinberger, Rhaleb Zayer:
AlSub: Fully Parallel Subdivision for Modeling and Rendering. - Dmitry Rabinovich, Alfred M. Bruckstein:
Erratic Extremism causes Dynamic Consensus (a new model for one-dimensional opinion dynamics). - Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Understanding and forecasting lifecycle events in information cascades. - Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu:
Model-Driven Deep Learning for Physical Layer Communications. - Faryad Darabi Sahneh, Aram Vajdi, Joshua Melander, Caterina M. Scoglio:
Contact Adaption during Epidemics: A Multilayer Network Formulation Approach. - Rahul Iyer, Yuezhang Li, Huao Li, Michael Lewis, Ramitha Sundar, Katia P. Sycara:
Transparency and Explanation in Deep Reinforcement Learning Neural Networks. - Yuezhang Li, Katia P. Sycara, Rahul Iyer:
Object-sensitive Deep Reinforcement Learning. - Peng Yun, Lei Tai, Yuan Wang, Ming Liu:
Focal Loss in 3D Object Detection. - Mohamed Chafik Bakkay, Walid Barhoumi, Ezzeddine Zagrouba:
Seuillage par hystérésis pour le test de photo-consistance des voxels dans le cadre de la reconstruction 3D. - Xiao Sun, Chuankang Li, Stephen Lin:
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge. - Andreas Stöckl:
Similarity measure for Public Persons. - Cristiano Giuffrida, Giovanni Abramo, Ciriaco Andrea D'Angelo:
Do all citations value the same? Valuing citations by the value of the citing items. - Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli:
Policy Optimization via Importance Sampling. - Manuel Stein:
The Serverless Scheduling Problem and NOAH. - Federico Terraneo, Paolo Polidori, Alberto Leva, William Fornaciari:
TDMH-MAC: Real-time and multi-hop in the same wireless MAC. - Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano:
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization. - P. Kowsika, V. Divya, N. Sadagopan:
Hamiltonicity in Convex Bipartite Graphs. - Tiago Cunha
, Carlos Soares
, André C. P. L. F. de Carvalho:
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. - Amir H. Abdi, Pramit Saha, Praneeth Srungarapu, Sidney S. Fels:
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning. - Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos:
Span error bound for weighted SVM with applications in hyperparameter selection. - Dimos Makris, Maximos A. Kaliakatsos-Papakostas, Katia Lida Kermanidis:
DeepDrum: An Adaptive Conditional Neural Network. - Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum:
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration. - Bowen Cheng, Rong Xiao, Yandong Guo, Yuxiao Hu, Jianfeng Wang, Lei Zhang:
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition. - Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo, Andreas Geiger, Marc Pollefeys, Torsten Sattler:
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras. - Aurore Guillevic:
Faster individual discrete logarithms in finite fields of composite extension degree. - Andreas Alpers, Peter Gritzmann:
On the Reconstruction of Static and Dynamic Discrete Structures. - Mathias Creutz:
Open Subtitles Paraphrase Corpus for Six Languages. - Manfred Eppe, Sven Magg, Stefan Wermter:
Curriculum goal masking for continuous deep reinforcement learning. - Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro:
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. - Astha Sharma:
Dynamics Estimation Using Recurrent Neural Network. - Mirco Franzek, Alexander Panchenko, Chris Biemann:
Categorization of Comparative Sentences for Argument Mining. - Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigün:
Periocular Recognition Using CNN Features Off-the-Shelf. - Sivan Grotas, Yair Yakoby, Idan Gera, Tirza Routtenberg:
Power Systems Topology and State Estimation by Graph Blind Source Separation. - Yeshasvi Tirupachuri, Gabriele Nava, Diego Ferigo, Luca Tagliapietra, Claudia Latella, Francesco Nori, Daniele Pucci:
Towards Partner-Aware Humanoid Robot Control Under Physical Interactions. - Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna:
Graph Neural Networks for IceCube Signal Classification. - Johannes Blümlein, Carsten Schneider:
Computer algebra tools for Feynman integrals and related multi-sums. - Hubie Chen, Bart M. P. Jansen, Astrid Pieterse:
Best-case and Worst-case Sparsifiability of Boolean CSPs. - Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Federico Maiorano:
Investigating Crowd Creativity in Online Music Communities. - Flavio Corradini, Chiara Muzi, Barbara Re, Francesco Tiezzi:
A Classification of BPMN Collaborations based on Safeness and Soundness Notions. - Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner:
Learning of Multi-Context Models for Autonomous Underwater Vehicles. - Riccardo Zese, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi:
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach. - Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Xun Wang:
Dual Dense Encoding for Zero-Example Video Retrieval. - Laurenz A. Cornelissen, Richard J. Barnett, Morakane A. M. Kepa, Daniel Loebenberg-Novitzkas, Jacques Jordaan:
Deploying South African Social Honeypots on Twitter. - Mohammad Mahmudur Rahman Khan, Rezoana Bente Arif, Md. Abu Bakr Siddique, Mahjabin Rahman Oishe:
Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository. - Rezoana Bente Arif, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, Mahjabin Rahman Oishe:
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network. - Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, Rezoana Bente Arif, Zahidun Ashrafi:
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm. - Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Rezoana Bente Arif, Mahjabin Rahman Oishe:
ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities. - Laurenz A. Cornelissen, Richard J. Barnett, Petrus Schoonwinkel, Brent D. Eichstadt, Hluma B. Magodla:
A Network Topology Approach to Bot Classification. - Mehmet Aygün, Yusuf Huseyin Sahin, Gözde B. Ünal:
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation. - Rezka Leonandya, Elia Bruni, Dieuwke Hupkes, Germán Kruszewski:
The Fast and the Flexible: training neural networks to learn to follow instructions from small data. - Zhuo Chen, Weisi Lin, Shiqi Wang, Lingyu Duan, Alex C. Kot:
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing. - Mitchell Dawson, Andrew Zisserman, Christoffer Nellåker:
From Same Photo: Cheating on Visual Kinship Challenges. - Zijin Luo, Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Player Experience Extraction from Gameplay Video. - Aristotelis Charalampous, Sotirios Chatzis:
Quantum Statistics-Inspired Neural Attention. - Cunxi Yu, Daniel E. Holcomb:
Algorithmic Obfuscation over GF(2m). - Ahsan Bin Tufail, Qiu-Na Zhang, Yong-Kui Ma:
Binary Classification of Alzheimer Disease using sMRI Imaging modality and Deep Learning. - Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Network Framework for Manifold-valued Data. - Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang:
Context-Dependent Diffusion Network for Visual Relationship Detection. - Cheng-Kuan Chen, Zhufeng Pan, Min Sun, Ming-Yu Liu:
Unsupervised Stylish Image Description Generation via Domain Layer Norm. - Soumi Ray
, Vinod Kumar, Chirag Kamal Ahuja, Niranjan Khandelwal:
Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking. - Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh:
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. - Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh:
Facial Recognition with Encoded Local Projections. - Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Ensemble learning with 3D convolutional neural networks for connectome-based prediction. - Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay:
GANs for Medical Image Analysis. - Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Sense-Aware Hypernymy Extraction. - Zheng Lian, Ya Li, Jianhua Tao, Jian Huang:
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition. - Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios:
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. - Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai:
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. - Anindya Bijoy Das, Li Tang, Aditya Ramamoorthy:
C3LES: Codes for Coded Computation that Leverage Stragglers. - Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden:
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. - Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Mai H. Nguyen, Ilkay Altintas:
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning. - Leonardo Gutiérrez-Gómez, Jean-Charles Delvenne:
Multi-hop assortativities for networks classification. - Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson:
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation. - Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu:
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. - Yen-Chia Hsu, Paul Dille, Randy Sargent, Illah R. Nourbakhsh:
Industrial Smoke Detection and Visualization. - Jugal Garg, László A. Végh:
A Strongly Polynomial Algorithm for Linear Exchange Markets. - Hongzhuo Liang, Xiaojian Ma, Shuang Li, Michael Görner, Song Tang, Bin Fang, Fuchun Sun, Jianwei Zhang:
PointNetGPD: Detecting Grasp Configurations from Point Sets. - Shuang Li, Xiaojian Ma, Hongzhuo Liang, Michael Görner, Philipp Ruppel, Bin Fang, Fuchun Sun, Jianwei Zhang:
Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network. - Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen:
Learning Effective RGB-D Representations for Scene Recognition. - Aaron Bembenek, Stephen Chong:
FormuLog: Datalog for static analysis involving logical formulae. - Karim Armanious, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang:
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs. - Shrimai Prabhumoye, Yulia Tsvetkov, Alan W. Black, Ruslan Salakhutdinov:
Style Transfer Through Multilingual and Feedback-Based Back-Translation. - Rui Tian, Wei Gong:
Resisting Selfish Mining Attacks in the Bicomp. - Peter Overbury, Istvan Z. Kiss, Luc Berthouze:
Mapping structural diversity in networks sharing a given degree distribution and global clustering: Adaptive resolution grid search evolution with Diophantine equation-based mutations. - Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. - Olga Zagovora, Katrin Weller, Milan Janosov, Claudia Wagner, Isabella Peters:
What increases (social) media attention: Research impact, author prominence or title attractiveness? - Xiao Li, Yao Ma, Calin Belta:
Automata Guided Reinforcement Learning With Demonstrations. - Lisa Bauer, Yicheng Wang, Mohit Bansal:
Commonsense for Generative Multi-Hop Question Answering Tasks. - Reed Milewicz, Elaine M. Raybourn:
Talk to Me: A Case Study on Coordinating Expertise in Large-Scale Scientific Software Projects. - Armin Becher, Jens Angerer, Thomas Grauschopf:
Novel Approach to Measure Motion-To-Photon and Mouth-To-Ear Latency in Distributed Virtual Reality Systems. - Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation. - Atin Angrish, Benjamin Craver, Binil Starly:
"FabSearch" : A 3D CAD Model Based Search Engine for Sourcing Manufacturing Services. - Matin Jafarian, Xinlei Yi, Mohammad Pirani, Henrik Sandberg, Karl Henrik Johansson:
Synchronization of Kuramoto oscillators in a bidirectional frequency-dependent tree network. - Seyed Mohammadreza Rouzegar, Umberto Spagnolini:
Diffusive MIMO Molecular Communications: Channel Estimation, Equalization and Detection. - Ahmad Salim Al-Sibahi, Thomas P. Jensen, Aleksandar S. Dimovski, Andrzej Wasowski:
Verification of High-Level Transformations with Inductive Refinement Types. - Arash Shahmansoori, Bernard Uguen, Giuseppe Destino, Gonzalo Seco-Granados, Henk Wymeersch:
Tracking Position and Orientation through Millimeter Wave Lens MIMO in 5G Systems. - Alberto Mellone, Giovanni Franzini, Lorenzo Pollini, Mario Innocenti:
Persistent Coverage Control for Teams of Heterogeneous Agents - Extended Version. - Maxence Dutreix, Samuel Coogan:
Satisfiability Bounds for ω-regular Properties in Interval-valued Markov Chains. - Philipe A. Dias, Amy Tabb, Henry Medeiros:
Apple Flower Detection using Deep Convolutional Networks. - Hao Zhang, Jie Wang:
Effective Predictions of Gaokao Admission Scores for College Applications in Mainland China. - Eli Friedman, Fred Fontaine:
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement Learning. - Georgios-Ioannis Brokos, Polyvios Liosis, Ryan T. McDonald, Dimitris Pappas, Ion Androutsopoulos:
AUEB at BioASQ 6: Document and Snippet Retrieval. - Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. - Boyang Wang, Jianwei Gong, Ruizeng Zhang, Huiyan Chen:
Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications. - Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. - Amy Tabb, Keith E. Duncan, Christopher N. Topp:
Segmenting root systems in X-ray computed tomography images using level sets. - Hyung-Jin Yoon, Donghwan Lee, Naira Hovakimyan:
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process. - Saeed Boorboor, Saad Nadeem, Ji Hwan Park, Kevin Baker, Arie E. Kaufman:
Crowdsourcing Lung Nodules Detection and Annotation. - Ahmed Hussain Qureshi, Michael C. Yip:
Adversarial Imitation via Variational Inverse Reinforcement Learning. - Ji Hwan Park, Saad Nadeem, Joseph Marino, Kevin Baker, Matthew A. Barish, Arie E. Kaufman:
Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos. - Taihú Pire, Martín Mujica, Javier Civera, Ernesto Kofman:
The Rosario Dataset: Multisensor Data for Localization and Mapping in Agricultural Environments. - Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. - Liang Shen, Dengming Zhu, Saad Nadeem, Zhaoqi Wang, Arie E. Kaufman:
Radiative Transport Based Flame Volume Reconstruction from Videos. - Thomas Köhler, Michel Bätz
, Farzad Naderi, André Kaup, Andreas K. Maier, Christian Riess:
Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. - Bernardo Aceituno-Cabezas, Hongkai Dai, Alberto Rodriguez:
A Convex-Combinatorial Model for Planar Caging. - Jessica Bosch, Pedro Mercado, Martin Stoll:
Node classification for signed networks using diffuse interface methods. - Jesse Berwald, Joel M. Gottlieb, Elizabeth Munch
:
Computing Wasserstein Distance for Persistence Diagrams on a Quantum Computer. - Amir Patel, Stacey Shield, Saif R. Kazi, Aaron M. Johnson
, Lorenz T. Biegler
:
Contact-Implicit Trajectory Optimization using Orthogonal Collocation. - James D. Wilson, Melanie Baybay, Rishi Sankar, Paul E. Stillman:
Fast embedding of multilayer networks: An algorithm and application to group fMRI. - Fatih Dinc, Leander Thiele, Bayram Cevdet Akdeniz:
The Effective Geometry Monte Carlo Algorithm: Applications to Molecular Communication. - Saad Nadeem, Xianfeng Gu, Arie E. Kaufman:
LMap: Shape-Preserving Local Mappings for Biomedical Visualization. - Avik Ray, Yilin Shen, Hongxia Jin:
Robust Spoken Language Understanding via Paraphrasing. - Marcel Geppert, Peidong Liu, Zhaopeng Cui, Marc Pollefeys, Torsten Sattler:
Efficient 2D-3D Matching for Multi-Camera Visual Localization. - Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane:
Robustness Guarantees for Bayesian Inference with Gaussian Processes. - Chuanhai Zhang, Kurt Loken, Zhiyu Chen, Zhiyong Xiao, Gary Kunkel:
Mask Editor : an Image Annotation Tool for Image Segmentation Tasks. - Eugene Wong:
Self Configuration in Machine Learning. - Het Shah, Siddhant Haldar, Rohit Ner, Siddharth Jha, Debashish Chakravarty:
Ground vehicle odometry using a non-intrusive inertial speed sensor. - Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. - Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Active Anomaly Detection via Ensembles. - Suda Bharadwaj, Mohamadreza Ahmadi, Takashi Tanaka, Ufuk Topcu:
Transfer Entropy in MDPs with Temporal Logic Specifications. - Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi:
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. - Guangmo Tong, Weili Wu, Ding-Zhu Du:
On Misinformation Containment in Online Social Networks. - Sahin Cem Geyik, Vijay Dialani, Meng Meng, Ryan Smith:
In-Session Personalization for Talent Search. - Yuanliang Meng, Anna Rumshisky:
Triad-based Neural Network for Coreference Resolution. - Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu:
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples. - Qianqian Wang, Lidong Yang, Jiangfan Yu, Chi-Ian Vong, Philip Wai Yan Chiu, Li Zhang:
Magnetic Navigation of a Rotating Colloidal Swarm Using Ultrasound Images. - Qi Huang, Zhanghao Chen, Zijie Lu, Yuan Ye:
Analysis of Bag-of-n-grams Representation's Properties Based on Textual Reconstruction. - Tanmay Inamdar, Kasturi R. Varadarajan:
On the Partition Set Cover Problem. - Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai:
Scene Text Recognition from Two-Dimensional Perspective. - Kouhei Nishida, Hernán E. Aguirre, Shota Saito
, Shinichi Shirakawa, Youhei Akimoto:
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. - Tim Y. Tang, David J. Yoon, Timothy D. Barfoot:
A White-Noise-On-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3). - Kellie Ottoboni, Philip B. Stark:
Random problems with R. - Jay Mardia
, Jiantao Jiao, Ervin Tanczos, Robert D. Nowak, Tsachy Weissman:
Concentration Inequalities for the Empirical Distribution. - Jonah Brown-Cohen, Arvind Narayanan, Christos-Alexandros Psomas, S. Matthew Weinberg:
Formal Barriers to Longest-Chain Proof-of-Stake Protocols. - Xiangbo Li, Mohsen Amini Salehi, Yamini Joshi, Mahmoud Darwich, Brad Landreneau, Magdy A. Bayoumi:
Performance Analysis and Modeling of Video Transcoding Using Heterogeneous Cloud Services. - Tobias Kuhn, Albert Meroño-Peñuela, Alexander Malic
, Jorrit H. Poelen, Allen H. Hurlbert, Emilio Centeno, Laura I. Furlong, Núria Queralt-Rosinach, Christine Chichester, Juan M. Banda, Egon L. Willighagen
, Friederike Ehrhart, Chris T. A. Evelo, Tareq B. Malas, Michel Dumontier:
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. - Kyudong Park, Jiyoung Kwahk, Sung H. Han, Minseok Song, Dong Gu Choi, Hyeji Jang, Dohyeon Kim, Young Deok Won, In Sub Jeong:
Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system. - Chavit Denninnart, Mohsen Amini Salehi, Adel Nadjaran Toosi, Xiangbo Li:
Leveraging Computational Reuse for Cost- and QoS-Efficient Task Scheduling in Clouds. - Shangbang Long, Cunchao Tu, Zhiyuan Liu, Maosong Sun:
Automatic Judgment Prediction via Legal Reading Comprehension. - Abbhinav Venkat, Sai Sagar Jinka, Avinash Sharma:
Deep Textured 3D Reconstruction of Human Bodies. - Mohammad Yousefvand, Narayan B. Mandayam:
Joint User Association and Resource Allocation Optimization for Ultra Reliable Low Latency HetNets. - Barco You, Matthias Hub, Mengzhe You, Bo Xu, Mingzhi Yu, Ivan Uemlianin:
Block Chain based Intelligent Industrial Network (DSDIN). - Weifeng Ge, Bingchen Gong, Yizhou Yu:
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification. - Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin:
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks. - Johan Östman, Rahul Devassy, Guido Carlo Ferrante, Giuseppe Durisi:
Low-Latency Short-Packet Transmissions: Fixed Length or HARQ? - Rupei Xu, András Faragó:
A Simple Approximation for a Hard Routing Problem. - Ahmad Askarian, Rupei Xu, András Faragó:
Utilizing Network Structure to Bound the Convergence Rate in Markov Chain Monte Carlo Algorithms. - András Faragó, Rupei Xu:
Connectivity and Structure in Large Networks. - Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
MBS: Macroblock Scaling for CNN Model Reduction. - Chih-Hong Cheng, Georg Nührenberg, Hirotoshi Yasuoka:
Runtime Monitoring Neuron Activation Patterns. - Ty Nguyen, Tolga Özaslan, Ian D. Miller, James Keller, Giuseppe Loianno, Camillo J. Taylor, Daniel D. Lee, Vijay Kumar, Joseph H. Harwood, Jennifer M. Wozencraft:
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification. - Peter Paule, Carsten Schneider:
Towards a symbolic summation theory for unspecified sequences. - Wladyslaw Skarbek:
Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications. - Kaushal A. Shah, Devesh C. Jinwala:
Performance Analysis of Symmetric Key Ciphers in Linear and Grid Based Sensor Networks. - Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li:
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. - Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung:
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. - Kalesha Bullard, Nick DePalma, Richard G. Freedman, Bradley Hayes, Luca Iocchi, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Tom Williams:
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018. - Michael Baddeley, Reza Nejabati, George Oikonomou, Sedat Görmüs, Mahesh Sooriyabandara, Dimitra Simeonidou:
Isolating SDN Control Traffic with Layer-2 Slicing in 6TiSCH Industrial IoT Networks. - Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen:
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. - Marius Beul, David Droeschel, Matthias Nieuwenhuisen, Jan Quenzel, Sebastian Houben, Sven Behnke:
Fast Autonomous Flight in Warehouses for Inventory Applications. - Zeynep G. Saribatur, Thomas Eiter:
Towards Abstraction in ASP with an Application on Reasoning about Agent Policies. - Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez González, Ernestina Menasalvas:
Lung Cancer Concept Annotation from Spanish Clinical Narratives. - Xiaotong Ni:
Neural Network Decoders for Large-Distance 2D Toric Codes. - Joachim Fainberg, Ben Krause, Mihai Dobre, Marco Damonte, Emmanuel Kahembwe, Daniel Duma, Bonnie L. Webber, Federico Fancellu:
Talking to myself: self-dialogues as data for conversational agents. - Johannes Dornheim, Norbert Link, Peter Gumbsch:
Model-Free Adaptive Optimal Control of Sequential Manufacturing Processes using Reinforcement Learning. - Yunfan Liu, Qi Li, Zhenan Sun:
Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks. - Siddhartha Kumar, Hsuan-Yin Lin, Eirik Rosnes, Alexandre Graell i Amat:
Local Reconstruction Codes: A Class of MDS-PIR Capacity-Achieving Codes. - Jaroslaw Jankowski, Boleslaw K. Szymanski, Przemyslaw Kazienko, Radoslaw Michalski, Piotr Bródka:
Probing Limits of Information Spread with Sequential Seeding. - Kamal Al-Sabahi, Zuping Zhang, Kang Yang:
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization. - Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan, Christian Lubat, Sébastien Barsotti:
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images. - Isaak Lim, Alexander Dielen, Marcel Campen, Leif Kobbelt:
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes. - Raji Susan Mathew, Joseph Suresh Paul:
Compressed Sensing Parallel MRI with Adaptive Shrinkage TV Regularization. - Zehong Cao, Chin-Teng Lin
, Kuan-Lin Lai, Li-Wei Ko, Jung-Tai King, Jong-Ling Fuh, Shuu-Jiun Wang:
Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. - Chun-Hsiang Chuang, Zehong Cao, Yu-Kai Wang, Po-Tsang Chen, Chih-Sheng Huang, Nikhil R. Pal, Chin-Teng Lin:
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time. - Genevieve Gorrell, Kalina Bontcheva
, Leon Derczynski, Elena Kochkina, Maria Liakata, Arkaitz Zubiaga:
RumourEval 2019: Determining Rumour Veracity and Support for Rumours. - Karin Schnass:
Average performance of Orthogonal Matching Pursuit (OMP) for sparse approximation. - Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. - Dominik Schlegel, Giorgio Grisetti:
Adding Cues to Binary Feature Descriptors for Visual Place Recognition. - Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding:
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. - Nikita Gordienko, Yuriy Kochura, Vlad Taran
, Peng Gang, Yuri G. Gordienko, Sergii G. Stirenko:
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting. - Xiaohui Zhou, Salman Durrani, Jing Guo, Halim Yanikomeroglu:
Underlay Drone Cell for Temporary Events: Impact of Drone Height and Aerial Channel Environments. - Reda Younsi, Jing Tang, Liisa Holm:
Π-cyc: A Reference-free SNP Discovery Application using Parallel Graph Search. - Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines:
Is rotation forest the best classifier for problems with continuous features? - Kai Chen, JingMin Tu, Binbin Xiang, Li Li, Jian Yao:
Multiple Combined Constraints for Image Stitching. - Sinan Kahraman:
Strange Attractor in Density Evolution. - Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. - Weiqiao Han, Russ Tedrake:
Controller Synthesis for Discrete-time Hybrid Polynomial Systems via Occupation Measures. - Nan Tian, Jinfa Chen, Mas Ma, Robert Zhang, Bill Huang, Ken Goldberg, Somayeh Sojoudi:
A Fog Robotic System for Dynamic Visual Servoing. - Ameet Deshpande, Srikanth Sarma:
Improvements on Hindsight Learning. - Biplav Srivastava:
Decision-support for the Masses by Enabling Conversations with Open Data. - Bernhard Haeupler, Fabian Kuhn, Anders Martinsson, Kalina Petrova, Pascal Pfister:
Optimal strategies for patrolling fences. - Anshu Bhardwaj, Subir Kumar Roy:
Validating the Claim - Defeating HaTCh : Building Malicious IP cores. - Shreyas Kousik, Sean Vaskov, Fan Bu, Matthew Johnson-Roberson, Ram Vasudevan:
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots. - Murhaf Fares, Stephan Oepen, Erik Velldal:
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation. - Johannes Dornheim, Norbert Link:
Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes. - James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard:
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. - Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen:
3D segmentation of mandible from multisectional CT scans by convolutional neural networks. - Norberto Ritzmann Junior, Júlio César Nievola:
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. - Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
On a Convex Logic Fragment for Learning and Reasoning. - Jieliang Luo, Sam Green, Peter Feghali, George Legrady, Çetin Kaya Koç:
Visual Diagnostics for Deep Reinforcement Learning Policy Development. - Kai Chen, JingMin Tu, Jian Yao:
Generalized Content-Preserving Warps for Image Stitching. - Abhishek Gupta, Zhaoyuan Yang:
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks. - Jialin Dong, Yuanming Shi:
Nonconvex Demixing From Bilinear Measurements. - Tobias Klamt, Diego Rodriguez, Max Schwarz, Christian Lenz, Dmytro Pavlichenko, David Droeschel, Sven Behnke:
Supervised Autonomous Locomotion and Manipulation for Disaster Response with a Centaur-like Robot. - (Withdrawn) Rational Impatience Strategy of 5G Network Tenants in Queue-Based Slice Admission Control: Shall I Wait Further for My Network Slice?
- Sophie N. Parragh, Fabien Tricoire:
Branch-and-bound for bi-objective integer programming. - Theodoros Chondrogiannis, Panagiotis Bouros, Johann Gamper, Ulf Leser, David B. Blumenthal:
Finding k-Dissimilar Paths with Minimum Collective Length. - Alexander V. Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, Alexandr A. Kalinin:
Albumentations: fast and flexible image augmentations. - Ahmed A. Zewail, Aylin Yener:
Device-to-Device Secure Coded Caching. - Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl:
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. - Behrad Toghi, Divas Grover:
MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding Window Metric. - Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville, Yoshua Bengio:
On the Learning Dynamics of Deep Neural Networks. - Md Jahidul Islam, Michael Fulton, Junaed Sattar:
Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection. - ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. - Dennis Diefenbach, José M. Giménez-García:
HDTCat: let's make HDT scale. - Xinnuo Xu, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. - Matthew P. Szudzik:
Binary Proportional Pairing Functions. - Gideon Billings, Matthew Johnson-Roberson:
SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning. - Andrej Svec, Matús Pikuliak, Marián Simko, Mária Bieliková:
Improving Moderation of Online Discussions via Interpretable Neural Models. - Alex S. Leong, Erik Weyer, Girish N. Nair:
Identification of FIR Systems with Binary Input and Output Observations. - David Orden, Encarnación Fernández-Fernández, José M. Rodríguez-Nogales, Josefina Vila-Crespo:
Testing SensoGraph, a geometric approach for fast sensory evaluation. - Roger Piqueras Jover, Vuk Marojevic:
Security and Protocol Exploit Analysis of the 5G Specifications. - Stian Soiland-Reyes, Marcos Cáceres:
The Archive and Package (arcp) URI scheme. - Vijay Kamble, Anilesh K. Krishnaswamy, Hannah Li:
Exploration vs. Exploitation in Team Formation. - Anastasios Lytos
, Thomas Lagkas, Panagiotis G. Sarigiannidis, Kalina Bontcheva:
Argumentation Mining: Exploiting Multiple Sources and Background Knowledge. - Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein:
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. - Jeremy Sproston:
Qualitative Reachability for Open Interval Markov Chains. - Masoud Bashiri, Hassan Jafarzadeh, Cody H. Fleming:
PAIM: Platoon-based Autonomous Intersection Management. - Dominic Richards, Patrick Rebeschini:
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent. - Z. Berkay Celik, Earlence Fernandes, Eric Pauley, Gang Tan, Patrick D. McDaniel:
Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities. - Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-Task Learning for Machine Reading Comprehension. - Seung Bin Baik, Keum Gang Cha:
A Study on Deep Learning Based Sauvegrain Method for Measurement of Puberty Bone Age. - Liang Zhao, Shoudong Huang
, Gamini Dissanayake:
Linear SLAM: Linearising the SLAM Problems using Submap Joining. - Victor Quintero, Samir Medina Perlaza, Jean-Marie Gorce, H. Vincent Poor:
Approximate Nash Region of the Gaussian Interference Channel with Noisy Output Feedback. - Shuochao Yao, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Lu Su, Tarek F. Abdelzaher:
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. - David J. Yoon, Tim Y. Tang, Timothy D. Barfoot:
Mapless Online Detection of Dynamic Objects in 3D Lidar. - Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. - Jaysson Guerrero, Archie C. Chapman, Gregor Verbic:
A Study of Energy Trading in a Low-Voltage Network: Centralised and Distributed Approaches. - Jaysson Guerrero, Archie C. Chapman, Gregor Verbic:
Decentralized P2P Energy Trading under Network Constraints in a Low-Voltage Network. - Natalie Jablonsky, Michael Milford, Niko Sünderhauf:
An Orientation Factor for Object-Oriented SLAM. - Ainesh Bakshi, David P. Woodruff:
Sublinear Time Low-Rank Approximation of Distance Matrices. - Maria-Florina Balcan, Travis Dick, Colin White:
Data-Driven Clustering via Parameterized Lloyd's Families. - Arash Shaghaghi, Salil S. Kanhere, Mohamed Ali Kâafar, Sanjay Jha:
Gwardar: Towards Protecting a Software-Defined Network from Malicious Network Operating Systems. - Brittany Johnson, Yuriy Brun, Alexandra Meliou:
Causal Testing: Finding Defects' Root Causes. - Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup:
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. - Rima Arnaout, Lara Curran
, Erin Chinn, Yili Zhao, Anita Moon-Grady:
Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions. - Alexander Brown, Marek Petrik:
Interpretable Reinforcement Learning with Ensemble Methods. - Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg:
Leveraging Contact Forces for Learning to Grasp. - Maryam Hosseini, Narayana Santhanam:
Tail redundancy and its characterization of compression of memoryless sources. - Andrew Skabar:
Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications. - (Withdrawn) Light Field Neural Network.
- Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
Extreme Scale De Novo Metagenome Assembly. - Chong Xiang, Charles R. Qi, Bo Li:
Generating 3D Adversarial Point Clouds. - Zijun Zhang, Yining Zhang, Zongpeng Li:
Removing the Feature Correlation Effect of Multiplicative Noise. - Ville Vakkuri, Pekka Abrahamsson:
The Key Concepts of Ethics of Artificial Intelligence - A Keyword based Systematic Mapping Study. - Xiaohui Li, Li Xing:
Optimal Deployment of Drone Base Stations for Cellular Communication by Network-based Localization. - Xiaohui Li:
Deployment of Drone Base Stations for Cellular Communication Without Apriori User Distribution Information. - Zhaoyi Meng, Yan Xiong, Wenchao Huang, Fuyou Miao, Taeho Jung, Jianmeng Huang:
Divide and Conquer: Recovering Contextual Information of Behaviors in Android Apps around Limited-quantity Audit Logs. - (Withdrawn) NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task.
- Muneer Mohammad:
Smart False Data Injection attacks against State Estimation in Power Grid. - Ting Yao, Yingwei Pan, Yehao Li, Tao Mei:
Exploring Visual Relationship for Image Captioning. - (Withdrawn) NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task.
- Soumi Chattopadhyay, Ansuman Banerjee:
A Methodology for Search Space Reduction in QoS Aware Semantic Web Service Composition. - Liehuang Zhu, Xiangyun Tang, Meng Shen, Xiaojiang Du, Mohsen Guizani:
Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks. - Jose A. Carballo, Javier Bonilla, Manuel Berenguel, Jesus Fernandez-Reche, Ginés García:
New approach for solar tracking systems based on computer vision, low cost hardware and deep learning. - Michal Kleinbort, Kiril Solovey, Zakary Littlefield, Kostas E. Bekris, Dan Halperin:
Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation. - Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. - Takahiro Maekawa, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya:
Privacy-Preserving SVM Computing by Using Random Unitary Transformation. - Tobias Klamt, Sven Behnke:
Planning Hybrid Driving-Stepping Locomotion on Multiple Levels of Abstraction. - Jinhui Tang, Xiangnan He, Xiaoyu Du, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial Training Towards Robust Multimedia Recommender System. - Tobias Klamt, Sven Behnke:
Anytime Hybrid Driving-Stepping Locomotion Planning. - Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff:
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning. - Seungbum Jo, Srinivasa Rao Satti:
Encoding two-dimensional range top-k queries revisited. - Roland S. Zimmermann, Julien N. Siems:
Faster Training of Mask R-CNN by Focusing on Instance Boundaries. - Tsung-Hsien Wen, Minh-Thang Luong:
Latent Topic Conversational Models. - Kamil Senel, Hei Victor Cheng, Emil Björnson, Erik G. Larsson:
What Role Can NOMA Play in Massive MIMO? - Stéphane Caron, Abderrahmane Kheddar, Olivier Tempier:
Stair Climbing Stabilization of the HRP-4 Humanoid Robot using Whole-body Admittance Control. - Judith Bütepage, Danica Kragic:
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling. - Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux, Vincent Creuze
, Denis Dégez:
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System. - Benjamin Kowarsch:
On the Maintenance of Classic Modula-2 Compilers. - Hanbo Zhang, Xuguang Lan, Lipeng Wan, Chenjie Yang, Xinwen Zhou, Nanning Zheng:
RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network. - Matthias Lenga, Tobias Klinder, Christian Bürger, Jens von Berg, Astrid Franz, Cristian Lorenz:
Deep Learning Based Rib Centerline Extraction and Labeling. - Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing behavioral trends in community driven discussion platforms like Reddit. - Iliya Bouyukliev, Stefka Bouyuklieva, Tatsuya Maruta, Paskal Piperkov:
On the Computation of the Weight Distribution of Linear Codes over Finite Fields. - Andrés C. Rodríguez, Jan Dirk Wegner:
Counting the uncountable: deep semantic density estimation from Space. - Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Novelty-organizing team of classifiers in noisy and dynamic environments. - Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan:
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. - Farzin Salek, Anurag Anshu, Min-Hsiu Hsieh, Rahul Jain, Javier R. Fonollosa:
One-shot Capacity bounds on the Simultaneous Transmission of Classical and Quantum Information. - Wojciech Czerwinski, Slawomir Lasota, Ranko Lazic, Jérôme Leroux, Filip Mazowiecki:
The Reachability Problem for Petri Nets is Not Elementary (Extended Abstract). - Shuxin Zheng
, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-path Norm. - Marco Minelli, Marcel Kaufmann, Jacopo Panerati, Cinara Ghedini, Giovanni Beltrame, Lorenzo Sabattini:
Stop, Think, and Roll: Online Gain Optimization for Resilient Multi-robot Topologies. - Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz, Jakob N. Foerster, Julian Togelius, Kyunghyun Cho, Joan Bruna:
Pommerman: A Multi-Agent Playground. - Nico Potyka:
Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report). - Anthony P. Leclerc, Patrick Thor Kahl:
A survey of advances in epistemic logic program solvers. - Ioana Oriana Bercea:
Improved Bounds for the Traveling Salesman Problem with Neighborhoods on Uniform Disks. - Ken Perlin, Zhenyi He, Karl Rosenberg:
Chalktalk : A Visualization and Communication Language - As a Tool in the Domain of Computer Science Education. - Yifu Zhang, Jorge Cortés:
Distributed transient frequency control in power networks. - Liyun Dai, Taolue Chen, Zhiming Liu, Bican Xia, Naijun Zhan, Kim G. Larsen:
Parameter Synthesis Problems for one parametric clock Timed Automata. - Garrett Nicolai, Saeed Najafi, Grzegorz Kondrak:
String Transduction with Target Language Models and Insertion Handling. - Yizheng Liao, Yang Weng, Guangyi Liu, Zhongyang Zhang, Chin-Woo Tan, Ram Rajagopal:
Unbalanced Three-Phase Distribution Grid Topology Estimation and Bus Phase Identification. - Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang:
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. - Mirko Nava
, Jerome Guzzi, R. Omar Chavez-Garcia, Luca Maria Gambardella, Alessandro Giusti:
Learning Long-range Perception using Self-Supervision from Short-Range Sensors and Odometry. - Satyabrata Jana, Supantha Pandit:
Covering and Packing of Rectilinear Subdivision. - Márton Véges, Viktor Varga, András Lörincz:
3D Human Pose Estimation with Siamese Equivariant Embedding. - Hazel Murray, David Malone:
Exploring the Impact of Password Dataset Distribution on Guessing. - Mark Chilenski, George Cybenko, Isaac Dekine, Piyush Kumar
, Gil Raz:
Control Flow Graph Modifications for Improved RF-Based Processor Tracking Performance. - Mojtaba Vaezi, Robert Schober, Zhiguo Ding, H. Vincent Poor:
Non-Orthogonal Multiple Access: Common Myths and Critical Questions. - Wolfram Barfuss, Jonathan F. Donges, Jürgen Kurths:
Deterministic limit of temporal difference reinforcement learning for stochastic games. - Denis Gordeev, Alexey Rey, Dmitry Shagarov:
Unsupervised cross-lingual matching of product classifications. - Sumant Sharma, Connor Beierle, Simone D'Amico:
Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks. - Rohit Ner, Dibya Prakash Das, Rishabh Kumar, Shubhika Garg:
Fuzzy Based Wellness Analyzer. - Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Audio Based Disambiguation Of Music Genre Tags. - Oliver Nina, Washington Garcia, Scott Clouse, Alper Yilmaz:
MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description. - Guillaume Gautier, Rémi Bardenet, Michal Valko:
DPPy: Sampling Determinantal Point Processes with Python. - Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh:
Bayesian functional optimisation with shape prior. - Kam Fai Elvis Tsang, Yuqing Ni, Cheuk Fung Raphael Wong, Ling Shi:
A Novel Warehouse Multi-Robot Automation System with Semi-Complete and Computationally Efficient Path Planning and Adaptive Genetic Task Allocation Algorithms. - Samantha V. Adams, Rupert W. Ford, M. Hambley, J. M. Hobson, I. Kavcic, Christopher M. Maynard, Thomas Melvin, Eike Hermann Müller, S. Mullerworth, Andrew R. Porter, Mike Rezny, Ben Shipway, R. Wong:
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models. - Chandrakant Bothe, Fernando García, Arturo Cruz-Maya, Amit Kumar Pandey, Stefan Wermter:
Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots. - Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam:
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net. - Yukai Gong, Ross Hartley, Xingye Da, Ayonga Hereid, Omar Harib, Jiunn-Kai Huang, Jessy W. Grizzle:
Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway. - Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick:
Modeling Online Discourse with Coupled Distributed Topics. - Márton Vaitkus
:
A Physical Perspective on Control Points and Polar Forms: Bézier Curves, Angular Momentum and Harmonic Oscillators. - Nina Pörner, Benjamin Roth, Hinrich Schütze:
Interpretable Textual Neuron Representations for NLP. - Xin Yi, Ekta Walia, Paul S. Babyn:
Generative Adversarial Network in Medical Imaging: A Review. - Carlos San Vicente Gutiérrez, Lander Usategui San Juan, Irati Zamalloa Ugarte, Iñigo Muguruza, Laura Alzola Kirschgens, Victor Mayoral Vilches:
Time Synchronization in modular collaborative robots. - Michael Baddeley, Reza Nejabati, George Oikonomou, Mahesh Sooriyabandara, Dimitra Simeonidou:
Evolving SDN for Low-Power IoT Networks. - Mathilde Fekom, Argyris Kalogeratos, Nicolas Vayatis:
The Multi-Round Sequential Selection Problem. - Wilhelmiina Hämäläinen, Mike Joy
, Florian Berger, Sami Huttunen:
Clustering students' open-ended questionnaire answers. - Mohammad Hossein Manshaei, Murtuza Jadliwala, Anindya Maiti, Mahdi Fooladgar:
A Game-Theoretic Analysis of Shard-Based Permissionless Blockchains. - Yann Guermeur:
Combinatorial and Structural Results for gamma-Psi-dimensions. - Yu Li, Tao Zhang, Shuyu Sun, Xin Gao:
Accelerating Flash Calculation through Deep Learning Methods. - Anastasios Tsiamis, Konstantinos Gatsis, George J. Pappas:
An Information Matrix Approach for State Secrecy. - Mahmoud Nabil, Mohamed Mahmoud, Ahmed B. T. Sherif, Ahmad Alsharif, Mohamed M. Abdallah:
Efficient and Privacy-Preserving Ride SharingOrganization for Transferable andNon-Transferable Services. - Marina Haikin:
Analog Coding Frame-work. - Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Towards Large-Scale Video Video Object Mining. - Travis Gagie, Garance Gourdel, Gonzalo Navarro, Jared Simpson:
The Read-Optimized Burrows-Wheeler Transform. - Sanket Sanjay Diwale, Colin N. Jones:
A Generalized Representer Theorem for Hilbert Space - Valued Functions. - Ahsan Raza, Wei Liu:
Revisit of the Eigenfilter Method for the Design of FIR Filters and Wideband Beamformers. - Larissa Azevedo, Altino Dantas, Celso G. Camilo-Junior:
DroidBugs: An Android Benchmark for Automatic Program Repair. - Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee:
Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers. - Aljosa Osep, Wolfgang Mehner, Markus Mathias, Bastian Leibe:
Combined Image- and World-Space Tracking in Traffic Scenes. - Kangyan Zhou, Shrimai Prabhumoye, Alan W. Black:
A Dataset for Document Grounded Conversations. - Yuzhou Gu:
Zero-error communication over adder MAC. - Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies:
Switching divergences for spectral learning in blind speech dereverberation. - Samir Hodzic, Enes Pasalic, Yongzhuang Wei:
A general framework for secondary constructions of bent and plateaued functions. - Aria Rezaei, Jie Gao, Jeff M. Phillips, Csaba D. Tóth:
Improved Bounds on Information Dissemination by Manhattan Random Waypoint Model. - Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Identifying Generalization Properties in Neural Networks. - Bastian Schäfermeier, Tom Hanika, Gerd Stumme:
Distances for WiFi Based Topological Indoor Mapping. - Darren M. Chitty:
Exploiting Tournament Selection for Efficient Parallel Genetic Programming. - Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush:
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. - Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott
, Sebastian Otte:
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. - Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas:
Deep Part Induction from Articulated Object Pairs. - Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. - Jiaxi Tang, Ke Wang:
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. - Jiaxi Tang, Ke Wang:
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. - Marko Vasic, David Soloveichik, Sarfraz Khurshid:
CRN++: Molecular Programming Language. - Kristopher De Asis, Brendan Bennett, Richard S. Sutton:
Predicting Periodicity with Temporal Difference Learning. - Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo:
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images. - Matthias Springer:
SoaAlloc: Accelerating Single-Method Multiple-Objects Applications on GPUs. - Peipei Li, Yibo Hu, Ran He, Zhenan Sun:
A Coupled Evolutionary Network for Age Estimation. - Jacek Cyranka, Md. Ariful Islam, Scott A. Smolka, Sicun Gao, Radu Grosu:
Tight Continuous-Time Reachtubes for Lagrangian Reachability. - Mahsa Salmani, Timothy N. Davidson:
Uplink Resource Allocation for Multiple Access Computational Offloading. - Yi Luo, Nima Mesgarani:
TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation. - Bo Jiang:
Towards Discrete Solution: A Sparse Preserving Method for Correspondence Problem. - Kai Yang, Yuanming Shi, Zhi Ding:
Data Shuffling in Wireless Distributed Computing via Low-Rank Optimization. - Giulia Fanti, Leonid Kogan, Sewoong Oh, Kathleen Ruan, Pramod Viswanath, Gerui Wang:
Compounding of Wealth in Proof-of-Stake Cryptocurrencies. - Xian Wu, Moses Charikar, Vishnu Natchu:
Local Density Estimation in High Dimensions. - Xin Huang, Jiaxin Jiang, Byron Choi, Jianliang Xu, Zhiwei Zhang, Yunya Song:
PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP. - Eyasu Getahun Chekole
, Unnikrishnan Cheramangalath, Sudipta Chattopadhyay, Martín Ochoa, Huaqun Guo:
Taming the War in Memory: A Resilient Mitigation Strategy Against Memory Safety Attacks in CPS. - Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Niko Sünderhauf:
Zero-shot Sim-to-Real Transfer with Modular Priors. - Sang Won Bae, Haitao Wang:
L1 Shortest Path Queries in Simple Polygons. - Zeyu Dai, Ruihong Huang:
Building Context-aware Clause Representations for Situation Entity Type Classification. - Takuto Asakura, Jin-Dong Kim, Yasunori Yamamoto, Yuka Tateisi, Toshihisa Takagi:
A Quantitative Evaluation of Natural Language Question Interpretation for Question Answering Systems. - Yiju Ma, Donald Azuatalam, Thomas Power, Gregor Verbic, Archie C. Chapman:
Probabilistic Assessment of PV-Battery System Impacts on LV Distribution Networks. - Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni:
OxIOD: The Dataset for Deep Inertial Odometry. - Yiju Ma, Mohammad Seydali Seyf Abad, Donald Azuatalam, Gregor Verbic, Archie C. Chapman:
Impacts of Community and Distributed Energy Storage Systems on Unbalanced Low Voltage Networks. - Ayush Dewan, Tim Caselitz, Wolfram Burgard:
Learning a Local Feature Descriptor for 3D LiDAR Scans. - Mincheul Kang, Donghyuk Kim, Sung-Eui Yoon:
Harmonious Sampling for Mobile Manipulation Planning. - K. J. Joseph, Vineeth N. Balasubramanian:
MASON: A Model AgnoStic ObjectNess Framework. - Simon Duque Antón, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten:
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data. - Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal:
Local module identification in dynamic networks with correlated noise: the full input case. - Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, Lihi Zelnik-Manor:
2018 PIRM Challenge on Perceptual Image Super-resolution. - Inkyu An, Doheon Lee, Jung-Woo Choi, Dinesh Manocha, Sung-Eui Yoon:
Diffraction-Aware Sound Localization for a Non-Line-of-Sight Source. - Hao Jiang, Daiming Qu, Jie Ding, Tao Jiang:
Multiple Preambles for High Success Rate of Grant-Free Random Access with Massive MIMO. - Bingli Jiao, Yuli Yang, Mingxi Yin:
Layered BPSK for High Data Rates. - Wesley H. Holliday, Tadeusz Litak:
Complete Additivity and Modal Incompleteness. - Luca De Feo, Jean Kieffer, Benjamin Smith
:
Towards practical key exchange from ordinary isogeny graphs. - Qi Sun, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open Source Layout Decomposer. - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso:
RGBD2lux: Dense light intensity estimation with an RGBD sensor. - Héctor García de Marina, Johan Siemonsma, Bayu Jayawardhana, Ming Cao:
Multi-robot motion-formation distributed control with sensor self-calibration: experimental validation. - Maarten Vanhoof, Fernando Reis, Thomas Ploetz, Zbigniew Smoreda:
Assessing the quality of home detection from mobile phone data for official statistics. - Betty van Aken, Julian Risch, Ralf Krestel, Alexander Löser
:
Challenges for Toxic Comment Classification: An In-Depth Error Analysis. - Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao:
Symbolic Music Genre Transfer with CycleGAN. - Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
A Fast and Accurate System for Face Detection, Identification, and Verification. - Roberto Interdonato, Dino Ienco
, Raffaele Gaetano, Kenji Ose:
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. - Boris Bogaerts, Seppe Sels, Steve Vanlanduit, Rudi Penne:
Interactive Camera Network Design using a Virtual Reality Interface. - Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin Jaggi:
Sparsified SGD with Memory. - Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer:
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer. - Shrinivasan R. Patnaik Patnaikuni, Sachin R. Gengaje:
Syntactico-Semantic Reasoning using PCFG, MEBN, and PR-OWL. - Quentin Chan-Wai-Nam, Joseph Mikael, Xavier Warin:
Machine Learning for semi linear PDEs. - Li Jin, Alex A. Kurzhanskiy, Saurabh Amin:
Throughput-Improving Control of Highways Facing Stochastic Perturbations. - Pawel Rosciszewski:
Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption. - Chaluka Salgado, Muhammad Aamir Cheema, David Taniar:
An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries. - Ákos Kádár, Desmond Elliott, Marc-Alexandre Côté, Grzegorz Chrupala, Afra Alishahi:
Lessons learned in multilingual grounded language learning. - Gianluca Oderda, Alicja Smoktunowicz, Ryszard Kozera:
On constructing orthogonal generalized doubly stochastic matrices. - Hazem Abdelkawy, Naouel Ayari, Abdelghani Chibani, Yacine Amirat, Ferhat Attal:
Deep HMResNet Model for Human Activity-Aware Robotic Systems. - Gokul S. Sankar, Rohan C. Shekhar, Chris Manzie, Takeshi Sano, Hayato Nakada:
Model Predictive Controller with Average Emissions Constraints for Diesel Airpath. - Jean Ogier du Terrail, Frédéric Jurie:
Faster RER-CNN: application to the detection of vehicles in aerial images. - Shang-Yu Su, Yun-Nung Chen:
Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation. - Hanqing Tian, Jun Ni, Jibin Hu:
Autonomous Driving System Design for Formula Student Driverless Racecar. - Yi Ren, Sandra Hirche:
Fully distributed cooperation for networked uncertain mobile manipulators. - Kazim Rifat Ozyilmaz, Arda Yurdakul:
Designing a blockchain-based IoT infrastructure with Ethereum, Swarm and LoRa. - Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
The unreasonable effectiveness of small neural ensembles in high-dimensional brain. - Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. - Torben Hagerup:
Small Uncolored and Colored Choice Dictionaries. - Emmanouil Fountoulakis, Nikolaos Pappas, Qi Liao, Anthony Ephremides, Vangelis Angelakis:
Dynamic Power Control for Packets with Deadlines. - Ralf Teusner, Christoph Matthies, Philipp Giese:
Should I Bug You? Identifying Domain Experts in Software Projects Using Code Complexity Metrics. - Morgan Quigley, Kartik Mohta, Shreyas S. Shivakumar, Michael Watterson, Yash Mulgaonkar, Mikael Arguedas, Ke Sun, Sikang Liu, Bernd Pfrommer, Vijay Kumar, Camillo J. Taylor:
The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots. - Shreyas S. Shivakumar, Kartik Mohta, Bernd Pfrommer, Vijay Kumar, Camillo J. Taylor:
Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements. - Ying Chen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology. - Linglong Dai, Bichai Wang, Mugen Peng, Shanzhi Chen:
Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA with Simultaneous Wireless Information and Power Transfer. - Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang:
AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture. - Peter Kraft, Amos Waterland, Daniel Y. Fu, Anitha Gollamudi, Shai Szulanski, Margo I. Seltzer:
Automatic Parallelization of Sequential Programs. - Raoul Biagioni, Pierre-Yves Vandenbussche, Vít Novácek:
Finding Explanations of Entity Relatedness in Graphs: A Survey. - Mohammed K. A. Kaabar:
The Empirical Network Analysis of Website Visitors. - Michal Zasadzinski, Marc Solé, Álvaro Brandón, Victor Muntés-Mulero, David Carrera:
Next Stop "NoOps": Enabling Cross-System Diagnostics Through Graph-based Composition of Logs and Metrics. - Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang:
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. - Meiling Han, Nan Guan, Jinghao Sun, Qingqiang He, Qingxu Deng, Weichen Liu:
Response Time Bounds for Typed DAG Parallel Tasks on Heterogeneous Multi-cores. - Weili Zhang:
Optimal flow analysis, prediction and application. - Yunpeng Zhao:
A Survey on Theoretical Advances of Community Detection in Networks. - Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans:
A Serverless Tool for Platform Agnostic Computational Experiment Management. - Xin Cao:
Improved Online Wilson Score Interval Method for Community Answer Quality Ranking. - Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Luís C. Lamb:
Multitask Learning on Graph Neural Networks - Learning Multiple Graph Centrality Measures with a Unified Network. - Jeffrey Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte:
A Microbenchmark Characterization of the Emu Chick. - John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Higher-order Graph Convolutional Networks. - Pier Luigi Ventre, Paolo Lungaroni, Giuseppe Siracusano, Claudio Pisa, Florian Schmidt, Francesco Lombardo, Stefano Salsano:
On the Fly Orchestration of Unikernels: Tuning and Performance Evaluation of Virtual Infrastructure Managers. - Kun Cheng, Weiyue Liu, Qi Shen, Shengkai Liao:
Design and Implementation of High-throughput PCIe with DMA Architecture between FPGA and PowerPC. - Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal:
Fighting Redundancy and Model Decay with Embeddings. - Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu:
On Information Transfer Based Characterization of Power System Stability. - Hongze Li:
A Visual Query System for Scholar Networks. - Chunyang Xiao, Marc Dymetman, Claire Gardent:
Symbolic Priors for RNN-based Semantic Parsing. - Nicky Nicolson
, Alan Paton, Sarah Phillips, Allan Tucker:
Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation. - A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra:
Benchmarking Reinforcement Learning Algorithms on Real-World Robots. - Joshua G. Mangelson, Jinsun Liu, Ryan M. Eustice, Ram Vasudevan:
Guaranteed Globally Optimal Planar Pose Graph and Landmark SLAM via Sparse-Bounded Sums-of-Squares Programming. - Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: Differential Privacy via Query Rewriting. - Krishnaram Kenthapadi, Thanh T. L. Tran:
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn. - Mart Kartasev, Carlo Rapisarda
, Dominik Fay:
Implementing Adaptive Separable Convolution for Video Frame Interpolation. - Peipei Li, Yibo Hu, Ran He, Zhenan Sun:
Global and Local Consistent Wavelet-domain Age Synthesis. - Yee Seng Chan, Joshua Fasching, Haoling Qiu, Bonan Min:
Rapid Customization for Event Extraction. - Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Massimiliano Zanin, Juan Manuel Tuñas, Mariano Provencio, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nuñez:
IASIS and BigMedilytics: Towards personalized medicine in Europe. - Zahra Sobhaninia, Safiyeh Rezaei, Alireza Noroozi, Mehdi Ahmadi, Hamidreza Zarrabi, Nader Karimi, Ali Emami, Shadrokh Samavi:
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images. - Md. Mehedi Hasan
, John F. Arnold, Michael R. Frater:
Binocular Rivalry - Psychovisual Challenge in Stereoscopic Video Error Concealment. - Md. Mehedi Hasan
, Michael R. Frater, John F. Arnold:
Survey on Error Concealment Strategies and Subjective Testing of 3D Videos. - Shaun C. D'Souza
:
Evolving system bottlenecks in the as a service cloud. - Julien Pérolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin:
Playing the Game of Universal Adversarial Perturbations. - Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher:
Dynamic Weights in Multi-Objective Deep Reinforcement Learning. - Shyam Upadhyay, Jordan Kodner, Dan Roth:
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages. - Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Constrained Neural Fitted Q-Iteration. - Yair Lakretz, Gal Chechik, Evan-Gary Cohen, Alessandro Treves
, Naama Friedmann:
Metric Learning for Phoneme Perception. - Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Alex Gao, Mooi Choo Chuah:
Recurrent Neural Networks based Obesity Status Prediction Using Activity Data. - Vanessa Martins, João Rufino, Bruno Fernandes, Luís Silva, João Almeida, Joaquim Ferreira, José Alberto Fonseca:
Personal Virtual Traffic Light Systems. - Yize Chen
, Hao Wang
:
IntelligentCrowd: Mobile Crowdsensing via Multi-agent Reinforcement Learning. - Zeynab Raeesy, Kellen Gillespie, Chengyuan Ma, Thomas Drugman, Jiacheng Gu, Roland Maas, Ariya Rastrow, Björn Hoffmeister:
LSTM-based Whisper Detection. - Mathieu D'Amours, André Girard, Brunilde Sansò:
Planning Solar in Energy-managed Cellular Networks. - Sumit Maheshwari, Richard P. Martin:
Internet Protocol Version 6: Dead or Alive? - Sumit Maheshwari:
Joint Optimization of Application Specific Routing in an Anycast Network. - Michele Ferretti, Gianni Barlacchi, Luca Pappalardo, Lorenzo Lucchini, Bruno Lepri:
Weak nodes detection in urban transport systems: Planning for resilience in Singapore. - Michael Fire, Carlos Guestrin:
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. - Kirsten Lloyd:
Bias Amplification in Artificial Intelligence Systems. - Muneer Mohammad:
An Adaptive Load Management System using Predictive Control Optimization. - Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling:
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking. - Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand:
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why. - Diego Gabriel Krivochen:
On Folding and Twisting (and whatknot): towards a topological view of syntax. - Syed Waqas Haider Shah, Ahmad Talal Riaz:
EE-BSMU: Energy-Efficient Base Station Monitoring Unit for Smart Communication in Smart Cities. - Xiaofei Wang, Yiwen Han, Chenyang Wang, Qiyang Zhao, Xu Chen, Min Chen:
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning. - Mohammed Alser, Hasan Hassan, Akash Kumar, Onur Mutlu, Can Alkan:
SLIDER: Fast and Efficient Computation of Banded Sequence Alignment. - Mohamed Y. Selim, Ahmed E. Kamal:
Post-disaster 4G/5G Network Rehabilitation using Drones: Solving Battery and Backhaul Issues. - Murtuza Ali Abidini, Onno J. Boxma, Cor A. J. Hurkens, Ton Koonen, Jacques Resing:
Revenue Maximization in an Optical Router Node Using Multiple Wavelengths. - Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. - Naseef Mansoor, Abhishek Vashist, M. Meraj Ahmed, Md Shahriar Shamim, Syed Ashraf Mamun, Amlan Ganguly:
A Traffic-Aware Medium Access Control Mechanism for Energy-Efficient Wireless Network-on-Chip Architectures. - Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe:
Decentralized dynamic task allocation for UAVs with limited communication range. - Emmanouil Lakiotakis, Christos Liaskos, Xenofontas A. Dimitropoulos:
Enabling Ultra-Low Delay Teleorchestras using Software Defined Networking. - Wei Yi, Kenneth K. Tsang, Stephen K. Lam, Xiwei Bai, Jack A. Crowell, Elias A. Flores:
Biological plausibility and stochasticity in scalable VO2 active memristor neurons. - Brenner S. Rego, Guilherme V. Raffo:
Suspended Load Path Tracking Control Using a Tilt-rotor UAV Based on Zonotopic State Estimation. - Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Quickly to Plan Quickly Using Modular Meta-Learning. - Shani Alkoby, Avilash Rath, Peter Stone:
Ad hoc Teamwork and Moral Feedback as a Framework for Safe Agent Behavior. - Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Alun D. Preece, Paul Sullivan:
Uncertainty Aware AI ML: Why and How. - Mohammad Deghat, Saeed Ahmadizadeh, Dragan Nesic, Chris Manzie:
Closeness of Solutions for Singularly Perturbed Systems via Averaging. - Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. - Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky:
Predicting Argumenthood of English Preposition Phrases. - Trevor Davis, Kevin Waugh, Michael Bowling:
Solving Large Extensive-Form Games with Strategy Constraints. - Choongyeun Cho, Benjamin Antin, Sanchit Arora, Shwan Ashrafi, Peilin Duan, Dang The Huynh, Lee James, Hang Tuan Nguyen, Mojtaba Solgi, Cuong Van Than:
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling. - Christopher F. Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool:
3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation. - G. A. Kavvos:
Modalities, Cohesion, and Information Flow. - Dmitriy Korchev, Aruna Jammalamadaka, Rajan Bhattacharyya:
Automatic Rule Learning for Autonomous Driving Using Semantic Memory. - Murilo M. Marinho, Bruno Vilhena Adorno, Kanako Harada, Kyoichi Deie, Anton Deguet, Peter Kazanzides, Russell H. Taylor, Mamoru Mitsuishi:
A Unified Framework for the Teleoperation of Surgical Robots in Constrained Workspaces. - Dimitris Achlioptas, Themis Gouleakis, Fotis Iliopoulos:
Local Computation Algorithms for the Lovász Local Lemma. - Meng Shen, Baoli Ma, Liehuang Zhu, Rashid Mijumbi, Xiaojiang Du, Jiankun Hu:
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection. - Meng Shen, Baoli Ma, Liehuang Zhu, Xiaojiang Du, Ke Xu:
Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT. - Wei Xiao, Christos G. Cassandras:
Decentralized Optimal Merging Control for Connected and Automated Vehicles. - Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong:
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. - Kun Zhou, Jinmiao Cai, Yao Li, Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision. - Jason W. Woodworth, Mohsen Amini Salehi:
S3BD: Secure Semantic Search over Encrypted Big Data in the Cloud. - Mehrdad Salimitari, Shameek Bhattacharjee, Mainak Chatterjee:
Prospect Theoretic Approach for Data Integrity in IoT Networks under Manipulation Attacks. - Akond Rahman, Sarah Elder, Faysal Hossain Shezan, Vanessa Frost, Jonathan Stallings, Laurie A. Williams:
Categorizing Defects in Infrastructure as Code. - Mehmet Efe Tiryaki, Xu Zhang, Quang-Cuong Pham:
Printing-while-moving: a new paradigm for large-scale robotic 3D Printing. - Luca Caltagirone, Mauro Bellone, Lennart Svensson, Mattias Wahde:
LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks. - Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. Germán, Venkatesh Srinivasan, T. Aaron Gulliver:
SCC: Automatic Classification of Code Snippets. - Michael Fulton, Chelsey Edge, Junaed Sattar:
Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop. - Wonjin Yoon
, Chan Ho So, Jinhyuk Lee, Jaewoo Kang:
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition. - Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. Germán, Venkatesh Srinivasan, T. Aaron Gulliver:
Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing. - Seyyed Shaho Alaviani, Nicola Elia:
A Distributed Algorithm for Solving Linear Algebraic Equations Over Random Networks. - Konstantin Schauwecker:
Real-Time Stereo Vision on FPGAs with SceneScan. - Eetu Sjöblom, Mathias Creutz, Mikko Aulamo:
Paraphrase Detection on Noisy Subtitles in Six Languages. - François Lauze, Mads Nielsen:
On Variational Methods for Motion Compensated Inpainting. - Goran Popovic, Antea Hadviger, Ivan Markovic, Ivan Petrovic:
Computationally efficient dense moving object detection based on reduced space disparity estimation. - Da Chen, Jiong Zhang, Laurent D. Cohen:
Minimal Paths for Tubular Structure Segmentation with Coherence Penalty and Adaptive Anisotropy. - Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang:
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. - Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. - Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang:
Perfect match: Improved cross-modal embeddings for audio-visual synchronisation. - Francesca Arrigo, Francesco Tudisco:
Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. - William R. Johnson, Ajmal Mian, David G. Lloyd, Jacqueline A. Alderson:
On-field player workload exposure and knee injury risk monitoring via deep learning. - Gino Brunner, Bence Szebedy, Simon Tanner, Roger Wattenhofer:
The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony. - Carme Àlvarez, Arnau Messegué:
On the Constant Price of Anarchy Conjecture. - Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer:
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. - Jorge Fandinno, Claudia Schulz:
Answering the "why" in Answer Set Programming - A Survey of Explanation Approaches. - Alon Jacovi, Oren Sar Shalom, Yoav Goldberg:
Understanding Convolutional Neural Networks for Text Classification. - Julian Iseringhausen, Matthias B. Hullin:
Non-Line-of-Sight Reconstruction using Efficient Transient Rendering. - Hongwei Liu, Xu Pan:
Galois Hulls of Linear Codes over Finite Fields. - Sushrut Karmalkar, Eric Price:
Compressed Sensing with Adversarial Sparse Noise via L1 Regression. - Ralf Teusner, Thomas Hille, Christiane Hagedorn:
Aspects on Finding the Optimal Practical Programming Exercise for MOOCs. - John Kingston:
Conducting Feasibility Studies for Knowledge Based Systems. - Meysam Madadi, Egils Avots, Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Gholamreza Anbarjafari:
From 2D to 3D Geodesic-based Garment Matching. - Mostafa Tavassolipour, Seyed Abolfazl Motahari, Mohammad Taghi Manzuri Shalmani:
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints. - Jungseok Hong, Michael Fulton, Junaed Sattar:
An Evaluation of Bayesian Methods for Bathymetry-based Localization of Autonomous Underwater Robots. - Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu:
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. - Simon Gottschalk, Viola Bernacchi, Richard Rogers, Elena Demidova:
Towards Better Understanding Researcher Strategies in Cross-Lingual Event Analytics. - Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof:
Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning. - Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang:
Power Market Price Forecasting via Deep Learning. - Ali Shafti, Pavel Orlov, A. Aldo Faisal:
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping. - Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar:
Deep Domain Adaptation under Deep Label Scarcity. - Shiqi Wang
, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana:
Efficient Formal Safety Analysis of Neural Networks. - Anurag Dwarakanath, Dipin Era, Aditya Priyadarshi, Neville Dubash, Sanjay Podder:
Accelerating Test Automation through a Domain Specific Language. - Adeyinka K. Akanbi, Muthoni Masinde:
Towards the Development of a Rule-based Drought Early Warning Expert Systems using Indigenous Knowledge. - Chengsheng Mao, Liang Yao, Yuan Luo:
Distribution Networks for Open Set Learning. - Emilio Di Giacomo, Peter Eades, Giuseppe Liotta, Henk Meijer, Fabrizio Montecchiani:
Polyline Drawings with Topological Constraints. - Yong Zhang, Yu Zhang, Zhao Zhang, Jie Bao, Yunpeng Song:
Human activity recognition based on time series analysis using U-Net. - Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions. - Alexey S. Matveev, Juan E. Machado, Romeo Ortega, Johannes Schiffer, Anton A. Pyrkin:
On the Existence and Long-Term Stability of Voltage Equilibria in Power Systems with Constant Power Loads. - Csaba Nemes, Sándor Jordán:
Analysing object detectors from the perspective of co-occurring object categories. - Rafael Monroy, Matis Hudon, Aljosa Smolic:
Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices. - Youfa Li, Deguang Han:
Two-step PR-scheme for recovering signals in detectable union of cones by magnitude measurements. - Siaw-Lynn Ng, Maura B. Paterson:
Functional repair codes: a view from projective geometry. - Marco Passon, Marco Lippi, Giuseppe Serra, Carlo Tasso:
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining. - Etienne Boursier, Vianney Perchet:
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits. - Anuj Dawar, Kashif Khan:
Constructing Hard Examples for Graph Isomorphism. - Eun Jung Kim, Maria J. Serna, Dimitrios M. Thilikos:
Data-compression for Parametrized Counting Problems on Sparse graphs. - Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Learning Recommender Systems from Multi-Behavior Data. - Jingtao Ding, Guanghui Yu, Xiangnan He, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. - Seyed Raein Hashemi
, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. - Richard Statman:
On sets of terms with a given intersection type. - Jesus F. Espinoza
, Rosalia Hernandez-Amador, Héctor A. Hernández, Beatriz Ramonetti-Valencia:
A numerical approach for the filtered generalized Cech complex. - Jennifer Rogers, Nicholas Spina, Ashley Neese, Rachel Hess, Darrel Brodke, Alexander Lex:
Composer: Visual Cohort Analysis of Patient Outcomes. - Antoine Lesage-Landry, Siyu Chen, Joshua A. Taylor:
Estimating the Frequency Coupling Matrix from Network Measurements. - Lev Konstantinovskiy, Oliver Price, Mevan Babakar, Arkaitz Zubiaga:
Towards Automated Factchecking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detection. - Debjyoti Bhattacharjee, Yaswanth Tavva, Arvind Easwaran, Anupam Chattopadhyay:
Crossbar-Constrained Technology Mapping for ReRAM based In-Memory Computing. - Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich:
Low rank methods for multiple network alignment. - Dominique Feillet, Sophie N. Parragh, Fabien Tricoire:
A Local-Search Based Heuristic for the Unrestricted Block Relocation Problem. - Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh M. Khapra:
Towards Exploiting Background Knowledge for Building Conversation Systems. - Nof Abuzainab, Walid Saad:
A Graphical Bayesian Game for Secure Sensor Activation in Internet of Battlefield Things. - Syed Yusha Kareem, Luca Buoncompagni, Fulvio Mastrogiovanni:
Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies. - Wojciech Wasko, Alessandro Albini, Perla Maiolino, Fulvio Mastrogiovanni, Giorgio Cannata:
Contact modelling and tactile data processing for robot skin. - Changliu Liu, Te Tang, Hsien-Chung Lin, Yujiao Cheng, Masayoshi Tomizuka:
SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots. - Samet Güler
, Mohamed Abdelkader, Jeff S. Shamma:
Infrastructure-free Localization of Aerial Robots with Ultrawideband Sensors. - Diane Castonguay, Erika M. M. Coelho, Hebert Coelho, Julliano R. Nascimento:
On the convexity number for complementary prisms. - Rohit Pardasani, Utkarsh Shreemali:
Image Denoising and Super-Resolution using Residual Learning of Deep Convolutional Network. - Darko Androcec:
Using JSON-LD to Compose Different IoT and Cloud Services. - Biao Jia, Zherong Pan, Dinesh Manocha:
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical System Identification. - Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli:
Privacy in Index Coding: k-Limited-Access Schemes. - Suo Qiu:
Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification. - Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. - Ilan Ehrenfeld, Max Kogan, Oleg Kupervasser, Vitalii Sarychev, Irina Volinsky, Roman Yavich, Bar Zangbi:
Visual navigation for airborne control of ground robots from tethered platform: creation of the first prototype. - Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang:
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. - Christina Boyce-Jacino, Simon DeDeo:
Opacity, Obscurity, and the Geometry of Question-Asking. - Junchao Zheng, Courtney Napoles, Joel R. Tetreault, Kostiantyn Omelianchuk:
How do you correct run-on sentences it's not as easy as it seems. - Elias Marcopoulos, Yuanlin Zhang:
onlineSPARC: a Programming Environment for Answer Set Programming. - Midhat Jdeed, Ekanki Sharma, Wilfried Elmenreich:
Smart grid modeling and simulation - Comparing GridLAB-D and RAPSim via two Case studies. - Carl Pearson, Abdul Dakkak, Cheng Li, Sarah Hashash, Jinjun Xiong, Wen-Mei W. Hwu:
SCOPE: C3SR Systems Characterization and Benchmarking Framework. - Xiaozhu Meng, Barton P. Miller, Somesh Jha:
Adversarial Binaries for Authorship Identification. - Jonas Wulff, Michael J. Black:
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation. - Adam M. Terwilliger, Garrick Brazil, Xiaoming Liu:
Recurrent Flow-Guided Semantic Forecasting. - Erik Wittern, Alan Cha, Jim Alain Laredo:
Generating GraphQL-Wrappers for REST(-like) APIs. - Quirin Scheitle, Oliver Gasser, Theodor Nolte, Johanna Amann, Lexi Brent, Georg Carle, Ralph Holz, Thomas C. Schmidt, Matthias Wählisch:
The Rise of Certificate Transparency and Its Implications on the Internet Ecosystem. - Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb:
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals. - Konstantina Christakopoulou, Arindam Banerjee:
Adversarial Recommendation: Attack of the Learned Fake Users. - Mehdi Rahimi, Spencer Gibb, Yantao Shen, Hung Manh La:
A Comparison of Various Approaches to Reinforcement Learning Algorithms for Multi-robot Box Pushing. - Kevin Frans, Chin-Yi Cheng:
Unsupervised Image to Sequence Translation with Canvas-Drawer Networks. - Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. - Yiannis Kantaros, Michael M. Zavlanos:
STyLuS*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems. - Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram:
A Meta-Learning Approach for Custom Model Training. - Di He:
Augmenting Input Method Language Model with user Location Type Information. - Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences. - Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie:
In-memory multiplication engine with SOT-MRAM based stochastic computing. - Haiqing Wei, Gang Huang, Xiuqing Wei, Yanlong Sun, Hongbin Wang:
Comment on All-optical machine learning using diffractive deep neural networks. - Zijian Bao, Bin Wang, Wenbo Shi:
A privacy-preserving, decentralized and functional Bitcoin e-voting protocol. - Xianghao Yu, Chang Li, Jun Zhang, Martin Haenggi, Khaled Ben Letaief:
A Unified Framework for the Tractable Analysis of Multi-Antenna Wireless Networks. - Kai Zhou, Tomasz P. Michalak, Talal Rahwan, Marcin Waniek, Yevgeniy Vorobeychik:
Adversarial Link Prediction in Social Networks. - Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le:
Semi-Supervised Sequence Modeling with Cross-View Training. - (Withdrawn) Focus On What's Important: Self-Attention Model for Human Pose Estimation.
- Enass Hriba, Matthew C. Valenti:
The Impact of Correlated Blocking on Millimeter-Wave Personal Networks. - Chao Yu, Zuxin Liu, Xinjun Liu, Fugui Xie, Yi Yang, Qi Wei, Fei Qiao:
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments. - Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg:
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. - Tong-Xing Zheng, Hui-Ming Wang, Jinhong Yuan:
Secure and Energy-Efficient Transmissions in Cache-Enabled Heterogeneous Cellular Networks: Performance Analysis and Optimization. - Emily Sheng, Prem Natarajan:
A Byte-sized Approach to Named Entity Recognition. - Jiawen Kang, Zehui Xiong, Dusit Niyato, Dongdong Ye, Dong In Kim, Jun Zhao:
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory. - Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka:
Understanding Fake Faces. - Thomas Linden, Hamza Harkous, Kassem Fawaz:
The Privacy Policy Landscape After the GDPR. - Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang:
Geometric Multi-Model Fitting by Deep Reinforcement Learning. - Weibing Deng, Armen E. Allahverdyan:
Relating Zipf's law to textual information. - Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang:
Variational Collaborative Learning for User Probabilistic Representation. - Sovann En, Alexis Lechervy, Frédéric Jurie:
RPNet: an End-to-End Network for Relative Camera Pose Estimation. - Vincent Jugé:
Adaptive Shivers Sort: An Alternative Sorting Algorithm. - Harrie Oosterhuis, Maarten de Rijke:
Differentiable Unbiased Online Learning to Rank. - Md. Abu Bakr Siddique
, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan, Zahidun Ashrafi:
Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation. - Nikhil Chavan Dafle, Kyubin Lee, Alberto Rodriguez:
Pneumatic Shape-shifting Fingers to Reorient and Grasp. - Jingchi Jiang, Huanzheng Wang, Jing Xie, Xitong Guo, Yi Guan, Qiubin Yu:
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis. - Jonathan Tuke, Andrew Nguyen, Mehwish Nasim
, Drew Mellor, Asanga Wickramasinghe, Nigel G. Bean, Lewis Mitchell
:
Pachinko Prediction: A Bayesian method for event prediction from social media data. - Meng Shen, Guohua Cheng, Liehuang Zhu, Xiaojiang Du, Jiankun Hu:
Content-Based Multi-Source Encrypted Image Retrieval in Clouds with Privacy Preservation. - Daniel Lokshtanov, Pranabendu Misra, Joydeep Mukherjee, Geevarghese Philip, Fahad Panolan, Saket Saurabh:
A 2-Approximation Algorithm for Feedback Vertex Set in Tournaments. - Ravi Kiran Raman, Roman Vaculín, Michael Hind, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney:
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach. - Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan:
Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection. - Babak Siabi, Mehdi Berenjkoub:
On the Security of an Unconditionally Secure, Universally Composable Inner Product Protocol. - Anurag Dwarakanath, Aruna Jankiti:
Minimum Number of Test Paths for Prime Path and other Structural Coverage Criteria. - Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi:
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks. - Hugo Gilbert, Olivier Spanjaard:
Optimizing a Generalized Gini Index in Stable Marriage Problems: NP-Hardness, Approximation and a Polynomial Time Special Case. - Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma:
Shift-based Primitives for Efficient Convolutional Neural Networks. - Cláudio Gomes, Casper Thule, Peter Gorm Larsen, Joachim Denil, Hans Vangheluwe:
Co-simulation of Continuous Systems: A Tutorial. - Kobi Cohen, Amir Leshem:
Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. - Kazim Rifat Ozyilmaz, Harsh Patel, Ankit Malik:
Split-Scale: Scaling Bitcoin by Partitioning the UTXO Space. - Ilay Cordonsky, Ishai Rosenberg, Guillaume Sicard, Eli David:
DeepOrigin: End-to-End Deep Learning for Detection of New Malware Families. - Akshaya Mani, T. Wilson-Brown, Rob Jansen, Aaron Johnson, Micah Sherr:
Understanding Tor Usage with Privacy-Preserving Measurement. - Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath:
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs. - Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey:
Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers. - Eran Dahan, Yosi Keller:
SelfKin: Self Adjusted Deep Model For Kinship Verification. - Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. - Yuri Faenza, Xuan Zhang:
Legal Assignments and fast EADAM with consent via classical theory of stable matchings. - Himadri Mishra, Ramashish Gaurav, Biplav Srivastava:
A Train Status Assistant for Indian Railways. - Armen Aghajanyan, Xia Song, Saurabh Tiwary:
Towards Language Agnostic Universal Representations. - Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
EXTRA: Explaining Team Recommendation in Networks. - Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Invisible Flow Fingerprinting. - Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. - Nikhil Chavan Dafle, Alberto Rodriguez:
Regrasping by Fixtureless Fixturing. - Xiang Niu, Alaa Moussawi, György Korniss, Boleslaw K. Szymanski:
Evolution of Threats in the Global Risk Network. - Petr Novotný, Bong Jun Ko, Alexander L. Wolf:
Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs. - Petr Novotný, Qi Zhang, Richard Hull, Salman Baset, Jim Laredo, Roman Vaculín, Daniel L. Ford, Donna N. Dillenberger:
Permissioned Blockchain Technologies for Academic Publishing. - Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Avino, Marco Malinverno, Scott Kirkpatrick:
From Megabits to CPU~Ticks: Enriching a Demand Trace in the Age of MEC. - Kai Yang, Yuanming Shi, Zhi Ding:
Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks. - Marcin Waniek, Tomasz P. Michalak, Aamena Alshamsi:
Security Diffusion Games. - Jianzhe Lin, Qi Wang, Rabab Ward, Z. Jane Wang:
DT-LET: Deep Transfer Learning by Exploring where to Transfer. - Yihui He, Xiangyu Zhang, Marios Savvides, Kris Kitani:
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection. - Yongxiang Fan, Hsien-Chung Lin, Te Tang, Masayoshi Tomizuka:
A Learning Framework for Robust Bin Picking by Customized Grippers. - Yongxiang Fan, Jieliang Luo, Masayoshi Tomizuka:
A Learning Framework for High Precision Industrial Assembly. - (Withdrawn) Improved constant approximation factor algorithms for k-center problem for uncertain data.
- Jean-Paul Ainam, Ke Qin, Guisong Liu:
Self Attention Grid for Person Re-Identification. - Oscar Karnalim, Lisan Sulistiani:
Which Source Code Plagiarism Detection Approach is More Humane? - Douglas Morrison, Peter Corke, Jürgen Leitner:
Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter. - Arash Dargahi Nobari, Arian Askari, Faegheh Hasibi, Mahmood Neshati:
Query Understanding via Entity Attribute Identification. - Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An:
Learning for Video Super-Resolution through HR Optical Flow Estimation. - Uri Abraham:
Kishon's Poker Game. - Tiffany Leung, Farhana H. Zulkernine, Haruna Isah:
The use of Virtual Reality in Enhancing Interdisciplinary Research and Education. - Ohad Shamir:
Exponential Convergence Time of Gradient Descent for One-Dimensional Deep Linear Neural Networks. - Thorben Casper, David Duque, Sebastian Schöps, Herbert De Gersem:
Automated Netlist Generation for 3D Electrothermal and Electromagnetic Field Problems. - Kaiyu Chen, Yihan Dong, Xipeng Qiu, Zitian Chen:
Neural Arithmetic Expression Calculator. - Lydia Weiland, Simone Paolo Ponzetto, Wolfgang Effelsberg, Laura Dietz:
Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing. - Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano:
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. - Chenying Wang, Li Yu, Shengwei Wang:
Accelerate CU Partition in HEVC using Large-Scale Convolutional Neural Network. - Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko, Thomas Hofmann:
Learning and Evaluating Sparse Interpretable Sentence Embeddings. - Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos:
Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data. - Arash Golibagh Mahyari:
Domain Adaptation in Robot Fault Diagnostic Systems. - Florian Richter, Yifei Zhang, Yuheng Zhi, Ryan K. Orosco, Michael C. Yip:
Augmented Reality Predictive Displays to Help Mitigate the Effects of Delayed Telesurgery. - Murthy Durbhakula:
OS Scheduling Algorithms for Memory Intensive Workloads in Multi-socket Multi-core servers. - Linxing Jiang, Andrea Stocco, Darby M. Losey, Justin A. Abernethy, Chantel S. Prat, Rajesh P. N. Rao:
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains. - Austin Jones, Kevin Leahy, Matthew T. Hale:
Towards Differential Privacy for Symbolic Systems. - Adam J. Aviv, Flynn Wolf, Ravi Kuber:
Comparing Video Based Shoulder Surfing with Live Simulation. - Jonathan Sterling, Bas Spitters:
Normalization by gluing for free λ-theories. - Aditya Gaydhani, Vikrant Doma, Shrikant Kendre, Laxmi Bhagwat:
Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach. - Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. - Kai-Kristian Kemell, Juhani Risku, Arthur Evensen, Pekka Abrahamsson, Aleksander Madsen Dahl, Lars Henrik Grytten, Agata Jedryszek, Petter Rostrup, Anh Nguyen-Duc:
Gamifying the Escape from the Engineering Method Prison - An Innovative Board Game to Teach the Essence Theory to Future Project Managers and Software Engineers. - Zhige Xin, George A. Barnett, Jon William Chapman, Shyhtsun Felix Wu:
Multi-View Community Detection in Facebook Public Pages. - Lukas Fuhrimann, Vahid Moosavi, Patrick Ole Ohlbrock, Pierluigi Dacunto:
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics. - Martin Stanek:
Insufficient properties of image encryption algorithms. - Apostolos Syropoulos, Stratos Doumanis, Konstantinos T. Sotiriades:
Computing with P Systems. - Alexander Golovnev, Alexander S. Kulikov, Alexander Logunov, Ivan Mihajlin:
Collapsing Superstring Conjecture. - Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Learning to Read by Spelling: Towards Unsupervised Text Recognition. - Shuaa S. Alharbi, Cigdem Sazak, Carl J. Nelson, Boguslaw Obara:
Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images. - Akitoshi Kawamura, Donghyun Lim, Svetlana Selivanova, Martin Ziegler:
Quantitatively Admissible Representations and the "Main Theorem" of Type-2 COMPLEXITY Theory. - Khyathi Raghavi Chandu, Mary Arpita Pyreddy, Matthieu Felix, Narendra Nath Joshi:
Textually Enriched Neural Module Networks for Visual Question Answering. - Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia:
Envy-Free Classification. - Yonghui Huang, Yunhui Li, Yi Luan:
Monolingual sentence matching for text simplification. - Babak Barazandeh, Meisam Razaviyayn:
On the Behavior of the Expectation-Maximization Algorithm for Mixture Models. - Yaohua Sun, Mugen Peng, Yangcheng Zhou, Yuzhe Huang, Shiwen Mao:
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues. - Ahmet Salih Gundogdu, Arjun Sanghvi, Keith Harrigian:
Recognizing Film Entities in Podcasts. - Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. - Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu:
Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback. - Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand:
Online Tool and Task learning via Human Robot Interaction. - Tuhin Chakrabarty, Kilol Gupta:
Context-Aware Attention for Understanding Twitter Abuse. - Louis Waked, Mohammad Mannan, Amr M. Youssef:
The Sorry State of TLS Security in Enterprise Interception Appliances. - Shuyang Cao, Xipeng Qiu, Xuanjing Huang:
Deformable Stacked Structure for Named Entity Recognition. - Katharina Kann, Sascha Rothe, Katja Filippova:
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared! - Katharina Kann, Hinrich Schütze:
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. - Jing Yuan, Aaron Fenster:
Modern Convex Optimization to Medical Image Analysis. - Kamran Zia, Nauman Javed, Muhammad Nadeem Sial, Sohail Ahmed, Hifsa Iram, Asad Amir Pirzada:
A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks. - Steven Jens Jorgensen, Orion Campbell, Travis Llado, Jaemin Lee, Brandon Shang, Luis Sentis:
Prioritized Kinematic Control of Joint-Constrained Head-Eye Robots using the Intermediate Value Approach. - Frank Dignum:
Interactions as Social Practices: towards a formalization. - Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhan, Hsiang-Chin Chien:
An Iterative Refinement Approach for Social Media Headline Prediction. - Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang:
Learning to Detect Fake Face Images in the Wild. - Chuan Guo, Jared S. Frank, Kilian Q. Weinberger:
Low Frequency Adversarial Perturbation. - Mahmoud Azab, Mingzhe Wang, Max Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea:
Speaker Naming in Movies. - Aditya Vora:
FCHD: A fast and accurate head detector. - Chengjun Guo, Ying Cui, Zhi Liu:
Optimal Multicast of Tiled 360 VR Video. - Minkyu Kim, Jaemin Lee, Steven Jens Jorgensen, Luis Sentis:
Social Navigation Planning Based on People's Awareness of Robots. - Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng:
Norm-Ranging LSH for Maximum Inner Product Search. - Bodhibrata Mukhopadhyay, Sahil Anchal, Subrat Kar:
Person Identification using Seismic Signals generated from Footfalls. - Fatih Dinc, Bayram Cevdet Akdeniz, Ecda Erol, Dilara Gokay, Ezgi Tekgul, Ali Emre Pusane, Tuna Tugcu:
Analytical Derivation of the Impulse Response for the Bounded 2-D Diffusion Channel. - Hiroki Iimori, Giuseppe Abreu, George C. Alexandropoulos:
Full-Duplex Transmission Optimization for Bi-directional MIMO links with QoS Guarantees. - Minkyu Kim, Miguel Arduengo, Nick Walker, Yuqian Jiang, Justin W. Hart, Peter Stone, Luis Sentis:
An Architecture for Person-Following using Active Target Search. - Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul:
Chargrid: Towards Understanding 2D Documents. - Beatriz Lorenzo, Alireza Shams Shafigh, Jianqing Liu, Francisco Javier González-Castaño, Yuguang Fang:
Data and Spectrum Trading Policies in a Trusted Cognitive Dynamic Network. - Nikolai Chinaev, Alexander Chigorin, Ivan Laptev:
MobileFace: 3D Face Reconstruction with Efficient CNN Regression. - Robert Schilling, Mario Werner, Pascal Nasahl, Stefan Mangard:
Pointing in the Right Direction - Securing Memory Accesses in a Faulty World. - Christian Tiefenau
, Emanuel von Zezschwitz:
The Struggle is Real: Analyzing Ground Truth Data of TLS (Mis-)Configurations. - Min Jun Kim, Jianjie Lin, Konstantin Kondak, Dongheui Lee, Christian Ott:
Oscillation Damping Control of Pendulum-like Manipulation Platform using Moving Masses. - Davide Bilò:
Almost optimal algorithms for diameter-optimally augmenting trees. - Douglas Summers-Stay, Peter Sutor Jr., Dandan Li:
Representing Sets as Summed Semantic Vectors. - Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
Information-Weighted Neural Cache Language Models for ASR. - Kai-Kristian Kemell, Anh Nguyen-Duc, Xiaofeng Wang, Juhani Risku, Pekka Abrahamsson:
The Essence Theory of Software Engineering - Large-Scale Classroom Experiences from 450+ Software Engineering BSc Students. - Mohammad Bakhshalipour, HamidReza Zare, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
Die-Stacked DRAM: Memory, Cache, or MemCache? - Changan Chen, Yuejiang Liu, Sven Kreiss
, Alexandre Alahi:
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning. - Thomas Pircher
, Dominik Haspel, Eberhard Schlücker:
Dense neural networks as sparse graphs and the lightning initialization. - Benamin Heymann:
ROI constrained Auctions. - Rishabh K. Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal:
Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization. - Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan:
A Framework towards Domain Specific Video Summarization. - Sujoy Bhore, Sourav Chakraborty, Satyabrata Jana, Joseph S. B. Mitchell, Supantha Pandit, Sasanka Roy:
The Balanced Connected Subgraph Problem. - Markus Bläser, Balagopal Komarath, Karteek Sreenivasaiah:
Graph Pattern Polynomials. - Mainak Dan, Seshadhri Srinivasan:
A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings. - Zoltán A. Tuza, Guy-Bart Stan:
Characterization of Biologically Relevant Network Structures form Time-series Data. - Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling. - Christian Berger, Birgit Penzenstadler, Olaf Drögehorn:
On Using Blockchains for Safety-Critical Systems. - Dario Mantegazza, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti:
Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches. - Ralf Teusner, Kai-Adrian Rollmann, Jan Renz:
Taking Informed Action on Student Activity in MOOCs. - Tuncay Yigit, Utku Kose, Nilgun Sengoz:
Robotics Rights and Ethics Rules. - Tao Yu
, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. - Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz
, Robert-Jan Sips, Lora Aroyo, Chris Welty:
Empirical Methodology for Crowdsourcing Ground Truth. - Faruk Diblen, Jisk Attema, Rena Bakhshi
, Sascha Caron
, Luc Hendriks, Bob Stienen:
SPOT: Open Source framework for scientific data repository and interactive visualization. - Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu, Ming Zhou:
Close to Human Quality TTS with Transformer. - Anil Maheshwari, Arash Nouri, Jörg-Rüdiger Sack:
Rectilinear Shortest Paths Among Transient Obstacles. - Christopher M. Ormerod, Amy E. Harris:
Neural network approach to classifying alarming student responses to online assessment. - Zhanyu Ma, Hong Yu:
Language Identification with Deep Bottleneck Features. - Xiao Chen, Peter Kairouz, Ram Rajagopal:
Understanding Compressive Adversarial Privacy. - Ebtesam Almazrouei, Raed M. Shubair, Fabrice Saffre:
Internet of NanoThings: Concepts and Applications. - Moin Nadeem, Dustin Stansbury, Shane Mooney:
Neural Educational Recommendation Engine (NERE). - Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu:
Target Transfer Q-Learning and Its Convergence Analysis. - Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana:
Constrained Exploration and Recovery from Experience Shaping. - Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu:
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting. - Jing Han, Zixing Zhang, Nicholas Cummins, Björn W. Schuller:
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. - Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings. - Georgios Balikas:
Lexical Bias In Essay Level Prediction. - William Léchelle, Fabrizio Gotti, Philippe Langlais:
WiRe57 : A Fine-Grained Benchmark for Open Information Extraction. - Hai-xia Peng, Qiang Ye, Xuemin Shen:
SDN-Based Resource Management for Autonomous Vehicular Networks: A Multi-Access Edge Computing Approach. - Andrey A. Popov, Adrian Sandu:
A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. - Antoine Mottet, Karin Quaas:
The Containment Problem for Unambiguous Register Automata. - Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu:
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. - Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Johann Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying. - Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Fast Geometrically-Perturbed Adversarial Faces. - Ting-Yu Mu, Ala I. Al-Fuqaha, Khaled Shuaib, Farag M. Sallabi, Junaid Qadir:
SDN Flow Entry Management Using Reinforcement Learning. - Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios:
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration. - Savio Sciancalepore, Roberto Di Pietro:
SOS - Securing Open Skies. - Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor:
A Fairness-aware Hybrid Recommender System. - Olivier Carton, Luc Boasson:
Transfinite Lyndon words. - Thorben Casper, Ulrich Römer, Sebastian Schöps, Herbert De Gersem:
Coupled Simulation of Transient Heat Flow and Electric Currents in Thin Wires: Application to Bond Wires in Microelectronic Chip Packaging. - Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti:
FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware. - Ketan Bhardwaj, Ming-Wei Shih, Ada Gavrilovska, Taesoo Kim, Chengyu Song:
SPX: Preserving End-to-End Security for Edge Computing. - Ghizlane Mountaser, Toktam Mahmoodi, Osvaldo Simeone:
Reliable and Low-Latency Fronthaul for Tactile Internet Applications. - Mustafa Al-Bassam, Alberto Sonnino, Vitalik Buterin:
Fraud Proofs: Maximising Light Client Security and Scaling Blockchains with Dishonest Majorities. - Jarkko Peltomäki, Markus A. Whiteland:
On k-abelian Equivalence and Generalized Lagrange Spectra. - Isidro Cortes-Ciriano, Andreas Bender:
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks. - Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.:
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. - Kaave Hosseini, Shachar Lovett, Grigory Yaroslavtsev:
Optimality of Linear Sketching under Modular Updates. - Shang-Wei Hung, Shao-Yuan Lo:
Incorporating Luminance, Depth and Color Information by Fusion-based Networks for Semantic Segmentation. - Xiao Liu, Zhunchen Luo, Heyan Huang:
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation. - Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. - Nguyen Phong Hoang, Panagiotis Kintis, Manos Antonakakis, Michalis Polychronakis:
An Empirical Study of the I2P Anonymity Network and its Censorship Resistance. - Ke Li, Jitendra Malik:
Implicit Maximum Likelihood Estimation. - Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu:
On Reinforcement Learning for Full-length Game of StarCraft. - Davide Bacciu, Antonio Bruno:
Text Summarization as Tree Transduction by Top-Down TreeLSTM. - Kexin Huang, Rodrigo Frassetto Nogueira:
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. - Akshat Agarwal, Abhinau Kumar Venkataramanan
, Kyle Dunovan, Erik Peterson, Timothy D. Verstynen, Katia P. Sycara:
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning. - Mehdi Hosseinzadeh, Kejie Li, Yasir Latif, Ian D. Reid:
Real-Time Monocular Object-Model Aware Sparse SLAM. - Brayden Hollis, Stacy Patterson, Jinda Cui, Jeff Trinkle:
BubbleTouch: A Quasi-Static Tactile Skin Simulator. - Amit Daniely, Vitaly Feldman:
Learning without Interaction Requires Separation. - Eric T. Phipps, Tamara G. Kolda:
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. - Sina Mokhtarzadeh Azar, Sajjad Azami, Mina Ghadimi Atigh, Mohammad Javadi, Ahmad Nickabadi:
Zoom-RNN: A Novel Method for Person Recognition Using Recurrent Neural Networks. - Siddharth H. Nair, Ravi N. Banavar:
Discrete Optimal Control of Interconnected Mechanical Systems. - Maxim Dolgov, Uwe D. Hanebeck:
A Distance-based Framework for Gaussian Processes over Probability Distributions. - Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for SQuAD 2.0. - Vedhus Hoskere
, Yasutaka Narazaki, Tu A. Hoang, Billie F. Spencer Jr.:
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models. - Millad Ghane, Jeff Larkin, Larry Shi, Sunita Chandrasekaran, Margaret S. Cheung:
Power and Energy-efficiency Roofline Model for GPUs. - Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan:
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties. - Majid Khabbazian:
On Finding the Largest Minimum Distance of Locally Recoverable Codes. - Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. - Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal:
Nonconvex Robust Low-rank Matrix Recovery. - Shumeet Baluja, David Marwood, Michele Covell, Nick Johnston:
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference. - J. Henry Hinnefeld, Peter Cooman, Nat Mammo, Rupert Deese:
Evaluating Fairness Metrics in the Presence of Dataset Bias. - Jeffrey L. McKinstry, Davis R. Barch, Deepika Bablani, Michael DeBole, Steven K. Esser, Jeffrey A. Kusnitz, John V. Arthur, Dharmendra S. Modha:
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing. - Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. - Hadi Mansourifar, Weidong Shi:
Next Generation of Star Patterns. - Jérémy Dubut, Ichiro Hasuo, Shin-ya Katsumata, David Sprunger:
Quantitative bisimulations using coreflections and open morphisms. - Rodrigo C. de Lamare:
Knowledge-Aided Normalized Iterative Hard Thresholding Algorithms and Applications to Sparse Reconstruction. - Benyamin Ghojogh, Saeed Sharifian, Hoda Mohammadzade:
Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization. - Asim Smailagic, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrian Galdran, Susu Xu:
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis. - Ketan Bhardwaj, Ada Gavrilovska, Moritz Steiner, Martin Flack, Stephen Ludin:
DRIVESHAFT: Improving Perceived Mobile Web Performance. - Vaneet Aggarwal, Hamed Asadi, Mayank Gupta, Jae Joong Lee
, Denny Yu:
Covfefe: A Computer Vision Approach For Estimating Force Exertion. - Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue:
Object Detection from Scratch with Deep Supervision. - Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy:
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. - Masayuki Tanaka, Takashi Shibata, Masatoshi Okutomi:
Gradient-Based Low-Light Image Enhancement. - Jiale Cao, Yanwei Pang, Xuelong Li:
Triply Supervised Decoder Networks for Joint Detection and Segmentation. - Derong Xie, Jinquan Luo:
Optimal Equi-difference Conflict-avoiding Codes. - Daeyoung Choi, Wonjong Rhee:
Utilizing Class Information for DNN Representation Shaping. - Daniel J. Fremont, Xiangyu Yue, Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: Language-Based Scene Generation. - Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Hitoshi Yamamoto, Takafumi Koshinaka:
Attention Mechanism in Speaker Recognition: What Does It Learn in Deep Speaker Embedding? - Zhongping Zhang, Tianlang Chen, Zheng Zhou, Jiaxin Li, Jiebo Luo:
How to Become Instagram Famous: Post Popularity Prediction with Dual-Attention. - Vikash Kumar Singh, Sajal Mukhopadhyay, Fatos Xhafa:
A Budget Feasible Peer Graded Mechanism For IoT-Based Crowdsourcing. - Vikas Dhiman
, Shurjo Banerjee, Jeffrey Mark Siskind, Jason J. Corso:
Floyd-Warshall Reinforcement Learning Learning from Past Experiences to Reach New Goals. - Vu Phan:
Syntactic Conditions for Antichain Property in Consistency Restoring Prolog. - Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu:
Multigrid Backprojection Super-Resolution and Deep Filter Visualization. - Carl T. Bergstrom, Jevin D. West:
Why scatter plots suggest causality, and what we can do about it. - Yadan Luo, Yang Li, Fumin Shen, Yang Yang, Peng Cui, Zi Huang:
Collaborative Learning for Extremely Low Bit Asymmetric Hashing. - Yan Gu:
Improved Parallel Cache-Oblivious Algorithms for Dynamic Programming and Linear Algebra. - Hamidreza Alvari, Elham Shaabani, Paulo Shakarian:
Early Identification of Pathogenic Social Media Accounts. - Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang:
Hierarchical Deep Multiagent Reinforcement Learning. - Mojtaba Hedayatpour, Mehran Mehrandezh, Farrokh Janabi-Sharifi:
Path Planning and Controlled Crash Landing of a Quadcopter in case of a Rotor Failure. - Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
A Model-Driven Deep Learning Network for MIMO Detection. - Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. - Karolina Okrasa, Pawel Rzazewski:
Subexponential algorithms for variants of homomorphism problem in string graphs. - Chao-Bing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang:
Fully Implicit Online Learning. - Qingqing Zhang, Wen Fang, Mingliang Xiong, Qingwen Liu, Jun Wu, Pengfei Xia:
Adaptive Resonant Beam Charging for Intelligent Wireless Power Transfer. - Ruben Gomez-Ojeda, Javier González Jiménez:
Geometric-based Line Segment Tracking for HDR Stereo Sequences. - Antonin Raffin, Ashley Hill, René Traoré
, Timothée Lesort
, Natalia Díaz Rodríguez, David Filliat:
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. - Qingqing Zhang, Mingqing Liu, Xing Lin, Qingwen Liu, Jun Wu, Pengfei Xia:
Optimal Resonant Beam Charging for Electronic Vehicles in Internet of Intelligent Vehicles. - Wen Fang, Qingqing Zhang, Qingwen Liu, Jun Wu, Pengfei Xia:
Fair Scheduling in Resonant Beam Charging for IoT Devices. - Suejb Memeti, Sabri Pllana:
HSTREAM: A directive-based language extension for heterogeneous stream computing. - Teng Ma, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu:
An Efficient Framework for Implementing Persist Data Structures on Remote NVM. - Stephan Ludwig, Michael Karrenbauer, Amina Fellan, Hans D. Schotten, Henning Buhr, Savita Seetaraman, Norbert Niebert, Anne Bernardy, Vasco Seelmann, Volker Stich, Andreas Hoell, Christian Stimming, Huanzhuo Wu, Simon Wunderlich, Maroua Taghouti, Frank H. P. Fitzek, Christoph Pallasch, Nicolai Hoffmann, Werner Herfs, Elena Eberhardt, Thomas Schildknecht:
A 5G Architecture for The Factory of the Future. - Mikhail Iu. Leontev, Viktoriia Islenteva, Sergey V. Sukhov:
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks. - Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. - Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. - Andrey Shestakov, Danila Doroshin, Dmitri Shmelkin, Attila Kertész-Farkas:
Lookup Lateration: Mapping of Received Signal Strength to Position for Geo-Localization in Outdoor Urban Areas. - Shengbin Jia, Yang Xiang, Xiaojun Chen:
Supervised Neural Models Revitalize the Open Relation Extraction. - Aytaç Kanaci, Xiatian Zhu, Shaogang Gong:
Vehicle Re-Identification in Context. - Xuesong Liang, Xinbao Gong, Yongpeng Wu, Derrick Wing Kwan Ng, Tao Hong:
Analysis of Outage Probabilities for Cooperative NOMA Users with Imperfect CSI. - Roman Chereshnev, Attila Kertész-Farkas:
RapidHARe: A computationally inexpensive method for real-time human activity recognition from wearable sensors. - Shengbin Jia, Yang Xiang, Xiaojun Chen, Shijia E:
TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs. - Christof Löding, Anton Pirogov:
On finitely ambiguous Büchi automata. - Jason Dykes, Miriah D. Meyer:
Reflection On Reflection In Design Study. - Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark O. Riedl:
Explainable PCGML via Game Design Patterns. - Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Co-Creative Level Design via Machine Learning. - Emanuele Parrinello, Ayse Ünsal, Petros Elia:
Coded Caching with Shared Caches: Fundamental Limits with Uncoded Prefetching. - Matthew Guzdial, Shukan Shah, Mark O. Riedl:
Towards Automated Let's Play Commentary. - Ivana Tomic, Po-Yu Chen, Michael J. Breza, Julie A. McCann:
Antilizer: Run Time Self-Healing Security for Wireless Sensor Networks. - Salvatore Virga, Christian Rupprecht, Nassir Navab, Christoph Hennersperger:
Incremental Adversarial Learning for Optimal Path Planning. - Vasileios Mavroeidis, Kamer Vishi, Audun Jøsang:
A Framework for Data-Driven Physical Security and Insider Threat Detection. - Valerio Bioglio, Carlo Condo, Ingmar Land:
Memory Management in Successive-Cancellation based Decoders for Multi-Kernel Polar Codes. - Federico Passerini, Andrea M. Tonello:
Physical Layer Key Generation for Secure Power Line Communications. - Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. - Iain Barclay, Alun D. Preece, Ian J. Taylor:
Defining the Collective Intelligence Supply Chain. - Jacques Wainer, Gavin C. Cawley:
Nested cross-validation when selecting classifiers is overzealous for most practical applications. - Anurag Dwarakanath, Neville Dubash, Sanjay Podder:
Machines that test Software like Humans. - Sergei V. Fedorenko:
The inverse cyclotomic Discrete Fourier Transform algorithm. - Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment. - Nancy El Rachkidy, Alexandre Guitton, Megumi Kaneko:
SS5G: Collision Resolution Protocol for Delay and Energy Efficient LoRa Networks. - George C. Alexandropoulos, Melissa Duarte:
Low Complexity Full Duplex MIMO: Novel Analog Cancellation Architectures and Transceiver Design. - Anurag Dwarakanath, N. C. Shrikanth, Kumar Abhinav, Alex Kass:
Trustworthiness in Enterprise Crowdsourcing: a Taxonomy & evidence from data. - Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang:
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation. - Rakesh Kumar, Vignesh Babu, David M. Nicol:
Network Coding for Critical Infrastructure Networks. - David F. Gleich, Nate Veldt, Anthony Wirth:
Correlation Clustering Generalized. - Matthieu Geist, Bruno Scherrer:
Anderson Acceleration for Reinforcement Learning. - Yukio Ohsawa:
Regional Seismic Information Entropy for Detecting Precursors of Earthquake Activation. - Mitsuo Yoshida, Fujio Toriumi:
Information Diffusion Power of Political Party Twitter Accounts During Japan's 2017 Election. - Wen Fang, Qingqing Zhang, Mingqing Liu, Qingwen Liu, Pengfei Xia:
Earning Maximization with Quality of Charging Service Guarantee for IoT Devices. - Alfonso Cevallos, Friedrich Eisenbrand, Sarah Morell
:
Diversity maximization in doubling metrics. - Christian Vitale, Vincenzo Sciancalepore, Vincenzo Mancuso:
Fair Stochastic Interference Orchestration with Cellular Throughput Boosted via Outband Sidelinks. - Sourav Saha, Vanga Odelu, Rajendra Prasath:
Enhanced Session Initiation Protocols for Emergency Healthcare Applications. - Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum:
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters. - Kaoutar Ben Ahmed, Ahmad Babaeian Jelodar:
Fine-Tuning VGG Neural Network For Fine-grained State Recognition of Food Images. - Faik Boray Tek:
An Adaptive Locally Connected Neuron Model: Focusing Neuron. - Andrei Nicolae:
PLU: The Piecewise Linear Unit Activation Function. - Dian Wang, Colin Kohler, Andreas ten Pas, Maozhi Liu, Holly A. Yanco, Robert Platt Jr.:
A Scooter-Mounted Robot Arm to Assist with Activities of Daily Life. - Lukasz Dykcik, Laurent Chuat, Pawel Szalachowski, Adrian Perrig:
BlockPKI: An Automated, Resilient, and Transparent Public-Key Infrastructure. - Robert B. Allen, Jaihyun Park:
Coordinating and Integrating Faceted Classification with Rich Semantic Modeling. - Lillian Tsai, Eddie Kohler, M. Frans Kaashoek, Nickolai Zeldovich:
A Revised and Verified Proof of the Scalable Commutativity Rule. - Jordi Spranger, Roxana Buzatoiu, Athanasios S. Polydoros, Lazaros Nalpantidis, Evangelos Boukas:
Human-Machine Interface for Remote Training of Robot Tasks. - Bryant Chandler, Aadesh Neupane:
Slogatron: Advanced Wealthiness Generator. - Jongkil Kim, Jonathon M. Smereka, Calvin Cheung
, Surya Nepal, Marthie Grobler:
Security and Performance Considerations in ROS 2: A Balancing Act. - Bart van Merriënboer, Dan Moldovan, Alexander B. Wiltschko:
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. - Yuejie Chi, Yue M. Lu, Yuxin Chen:
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. - Jaehoon Koo, Diego Klabjan, Jean Utke:
Combined convolutional and recurrent neural networks for hierarchical classification of images. - Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider:
Contextual Bandits with Cross-learning. - Michele Marchesi, Lodovica Marchesi, Roberto Tonelli:
An Agile Software Engineering Method to Design Blockchain Applications. - Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. - Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas:
A Re-ranker Scheme for Integrating Large Scale NLU models. - Melani Sanchez-Garcia, Ruben Martinez-Cantin, Josechu J. Guerrero:
Structural and object detection for phosphene images. - Hadar Miller, Osnat Mokryn:
Size Agnostic Change Point Detection Framework for Evolving Networks. - Zeeshan Kaleem, Muhammad Yousaf, Aamir Qamar, Ayaz Ahmad, Trung Quang Duong, Wan Choi, Abbas Jamalipour:
Public-Safety LTE: Communication Services, Standardization Status, and Disaster-Resilient Architecture. - Ilya Trofimov:
Inferring Complementary Products from Baskets and Browsing Sessions. - Kyongsik Yun, Alexander Huyen, Thomas Lu:
Deep Neural Networks for Pattern Recognition. - Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Efficient Constellation-Based Map-Merging for Semantic SLAM. - Marco Matassoni, Roberto Gretter, Daniele Falavigna, Diego Giuliani:
Non-native children speech recognition through transfer learning. - Ran Wan, Roman Garnett, Alvitta Ottley:
Learning and Anticipating Future Actions During Exploratory Data Analysis. - Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. - Yulin Zhang, Dylan A. Shell, Jason M. O'Kane:
Finding plans subject to stipulations on what information they divulge. - Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou:
LOBO - Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. - Alex Samorodnitsky:
An upper bound on ℓq norms of noisy functions. - Khaled M. Elbassioni, Kazuhisa Makino:
Finding Sparse Solutions for Packing and Covering Semidefinite Programs. - Hang Si:
On Monotone Sequences of Directed Flips, Triangulations of Polyhedra, and Structural Properties of a Directed Flip Graph. - Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. - Sadra Sadraddini, Russ Tedrake:
Sampling-based Polytopic Trees for Approximate Optimal Control of Piecewise Affine Systems. - Cassie Meeker, Matei T. Ciocarlie:
EMG-Controlled Hand Teleoperation Using a Continuous Teleoperation Subspace. - Lucy Fortson, Darryl Wright, Chris J. Lintott, Laura Trouille:
Optimizing the Human-Machine Partnership with Zooniverse. - Wang-Cheng Kang, Julian J. McAuley:
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation. - Imen Ben Sassi:
La prédiction des intérêts des utilisateurs pour la RI contextuelle et la recommandation d'amis dans un environnement mobile. - Nitish Nag, Vaibhav Pandey, Aishwarya Manjunath, Avinash Vaka, Ramesh C. Jain:
Surface Type Estimation from GPS Tracked Bicycle Activities. - Adya Joshi, Ranjan Bose, Madan Oberoi:
Analyzing CDR/IPDR data to find People Network from Encrypted Messaging Services. - Noah Shutty, Mary Wootters, Patrick Hayden:
Noise Thresholds for Amplification: From Quantum Foundations to Classical Fault-Tolerant Computation. - Martin Bodin, Philippa Gardner, Thomas P. Jensen, Alan Schmitt:
Skeletal Semantics and their Interpretations. - Hamidreza Almasi, Hamed Rezaei, Muhammad Usama Chaudhry, Balajee Vamanan:
Pulser: Fast Congestion Response using Explicit Incast Notifications for Datacenter Networks. - Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping. - Ruichao Xiao, Wenxiu Sun, Chengxi Yang:
Confidence Inference for Focused Learning in Stereo Matching. - Octavio Antonio Villarreal-Magaña, Victor Barasuol, Marco Camurri, Michele Focchi, Luca Franceschi, Massimiliano Pontil, Darwin G. Caldwell, Claudio Semini:
Fast and Continuous Foothold Adaptation for Dynamic Locomotion through Convolutional Neural Networks. - Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz:
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections. - Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen:
Towards Game-based Metrics for Computational Co-creativity. - Ruichao Xiao, Wenxiu Sun, Jiahao Pang, Qiong Yan, Jimmy S. J. Ren:
DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras. - Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel:
Evolving Agents for the Hanabi 2018 CIG Competition. - Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool:
Night-to-Day Image Translation for Retrieval-based Localization. - Julie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot:
Identifying robust landmarks in feature-based maps. - Heng-Zhao Ma, Jianzhong Li:
An Algorithm for Reducing Approximate Nearest Neighbor to Approximate Near Neighbor with O(logn) Query Time. - Prosenjit Bose, Thomas C. Shermer:
Gathering by Repulsion. - Suzana Ilic, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo:
Deep contextualized word representations for detecting sarcasm and irony. - Tao Han, Xuan Zhao, Peigen Sun, Jia Pan:
Robust Shape Estimation for 3D Deformable Object Manipulation. - Dominik Harz
, William J. Knottenbelt:
Towards Safer Smart Contracts: A Survey of Languages and Verification Methods. - Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg:
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. - Srinivasan Arunachalam, Sourav Chakraborty, Michal Koucký, Nitin Saurabh, Ronald de Wolf:
Improved bounds on Fourier entropy and Min-entropy. - Alexandros Nikou, Dimos V. Dimarogonas:
Robust Tube-based Model Predictive Control for Time-constrained Robot Navigation. - Toshiyuki Fukuzawa:
A Problem Reduction Approach for Visual Relationships Detection. - Maliheh Mahlouji, Toktam Mahmoodi:
Analysis of Uplink Scheduling for Haptic Communications. - Bo Jiang, Doudou Lin:
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning. - Bing Zhai, Yu Guan, Kyle Montague, Stuart Nicholson, Patrick Olivier, Jason Ellis:
Co-sleep: Design for workplace based wellness program to raise awareness of sleep deprivation. - Richard Torkar, Robert Feldt, Carlo A. Furia:
Arguing Practical Significance in Software Engineering Using Bayesian Data Analysis. - Matthias Möller, Andrzej Jaeschke:
FDBB: Fluid Dynamics Building Blocks. - Yackolley Amoussou-Guenou, Antonella Del Pozzo, Maria Potop-Butucaru, Sara Tucci Piergiovanni:
Dissecting Tendermint. - Su Li, Michael Gastpar:
Converse for Multi-Server Single-Message PIR with Side Information. - Pablo Sánchez, Alejandro Bellogín:
A novel approach for venue recommendation using cross-domain techniques. - Radu-Casian Mihailescu, Romina Spalazzese, Clint Heyer, Paul Davidsson:
A Role-Based Approach for Orchestrating Emergent Configurations in the Internet of Things. - Pieter W. Adriaans:
A simple information theoretical proof of the Fueter-Pólya Conjecture. - Nathan Dahlin, Rahul Jain:
A Two Stage Mechanism For Selling Random Power. - Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. - Özer Özkahraman, Petter Ögren:
3D Pursuit-Evasion for AUVs. - Kota Srinivas Reddy, Sharayu Moharir, Nikhil Karamchandani:
Effects of Storage Heterogeneity in Distributed Cache Systems. - Imad Eddine Touahria:
Medical systems, the role of middleware and survey on middleware design. - Youcef Gheraibia, Peng-Yeng Yin, Yiannis Papadopoulos, Abdelouahab Moussaoui, Smaine Mazouzi:
PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems. - Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens:
Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions. - Maarten Vanhoof, Clement Lee
, Zbigniew Smoreda:
Performance and sensitivities of home detection from mobile phone data. - Maarten Vanhoof, Thomas Ploetz, Zbigniew Smoreda:
Geographical veracity of indicators derived from mobile phone data. - Andreas Martin Kettner, Mario Paolone:
A Generalized Voltage-Stability Index for Unbalanced Polyphase Power Systems including Thévenin Equivalents and Polynomial Models. - Björn Barz, Joachim Denzler:
Hierarchy-based Image Embeddings for Semantic Image Retrieval. - Yawei Luo, Tao Guan, Junqing Yu, Ping Liu, Yi Yang:
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning. - Yewei Huang, Junqiao Zhao, Xudong He, Shaoming Zhang, Tiantian Feng:
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking. - Michael Gowanlock, Ben Karsin:
GPU Accelerated Similarity Self-Join for Multi-Dimensional Data. - Christian Antic:
Towards an Algebraic Theory of Analogical Reasoning in Logic Programming. - Benjamin Wassermann, Tino Bog, Stefan Kollmannsberger, Ernst Rank:
A design-through-analysis approach using the Finite Cell Method (ECCOMAS Congress 2016). - Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. - Dmitry Morozov, Mario Lezoche, Hervé Panetto:
Knowledge extraction, modeling and formalization: EEG case study. - (Withdrawn) Morphed Learning: Towards Privacy-Preserving for Deep Learning Based Applications.
- Di Wu, Kun Zhang, Si-Jia Zheng, De-Shuang Huang:
Random Occlusion-recovery for Person Re-identification. - Luiz F. Bittencourt, Roger Immich, Rizos Sakellariou
, Nelson L. S. da Fonseca, Edmundo R. M. Madeira, Marília Curado, Leandro Villas, Luiz da Silva, Craig A. Lee, Omer F. Rana:
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges. - Vishwa S. Parekh, Michael A. Jacobs:
MPRAD: A Multiparametric Radiomics Framework. - Adam Van Etten:
Satellite Imagery Multiscale Rapid Detection with Windowed Networks. - Paz Carmi, Anil Maheshwari, Saeed Mehrabi, Luís Fernando Schultz Xavier da Silveira:
Approximability of Covering Cells with Line Segments. - Dibyayan Chakraborty, Sandip Das, Joydeep Mukherjee:
Approximating Minimum Dominating Set on String Graphs. - Alican Büyükçakir, Hamed R. Bonab, Fazli Can:
A Novel Online Stacked Ensemble for Multi-Label Stream Classification. - Werner Haselmayr, Dmitry Efrosinin, Weisi Guo:
Normal Inverse Gaussian Approximation for Arrival Time Difference in Flow-Induced Molecular Communications. - Mohammad Reza Amini, Jing Sun, Ilya V. Kolmanovsky
:
Two-Layer Model Predictive Battery Thermal and Energy Management Optimization for Connected and Automated Electric Vehicles. - Nicolas Anastassacos, Mirco Musolesi:
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas. - Louis Dressel, Mykel J. Kochenderfer:
Using Neural Networks to Generate Information Maps for Mobile Sensors. - Douglas Stott Parker Jr., Thuy Vu:
Inferring Microclimate Zones from Energy Consumption Data. - Romana Markovic, Jérôme Frisch, Christoph van Treeck:
Learning short-term past as predictor of human behavior in commercial buildings. - S. M. Rezaul Karim, Shariful Islam Sharif, Md. Anisur Rahman Anik:
Negative Impact and Probable Management Policy of E-Waste in Bangladesh. - Jalal Abdulbaqi:
Programming at Exascale: Challenges and Innovations. - Russell A. Poldrack, Krzysztof J. Gorgolewski, Gaël Varoquaux:
Computational and informatics advances for reproducible data analysis in neuroimaging. - Sam Saarinen, Evan Cater, Michael L. Littman:
Personalized Education at Scale. - Rachel Dinh, Patrick Gildersleve, Taha Yasseri:
Computational Courtship: Understanding the Evolution of Online Dating through Large-scale Data Analysis. - Dinesh C. Verma, Simon Julier, Greg Cirincione:
Federated AI for building AI Solutions across Multiple Agencies. - Kelly W. Zhang, Samuel R. Bowman:
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis. - Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann:
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph. - Seth Gilbert, James Maguire, Calvin Newport:
On Bioelectric Algorithms: A Novel Application of Theoretical Computer Science to Core Problems in Developmental Biology. - Helen L. Bear, Emmanouil Benetos:
An extensible cluster-graph taxonomy for open set sound scene analysis. - Rohan Varma, Jelena Kovacevic:
Sampling Theory for Graph Signals on Product Graphs. - Lidia Contreras Ochando
, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama:
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation. - Ralf Teusner, Thomas Hille, Thomas Staubitz:
Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment. - Franz-Xaver Geiger, Ivano Malavolta:
Datasets of Android Applications: a Literature Review. - Kevin Vermeulen, Stephen D. Strowes, Olivier Fourmaux
, Timur Friedman
:
Multilevel MDA-Lite Paris Traceroute. - Amir Emad Marvasti, Ehsan Emad Marvasti, George K. Atia, Hassan Foroosh:
Rediscovering Deep Neural Networks in Finite-State Distributions. - Rubayet Shafin Bradley Shafin, Lingjia Liu:
Multi-Cell Multi-User Massive FD-MIMO: Downlink Precoding and Throughput Analysis. - Vahideh Keikha, Mees van de Kerkhof, Marc J. van Kreveld
, Irina Kostitsyna, Maarten Löffler, Frank Staals, Jérôme Urhausen, Jordi L. Vermeulen, Lionov Wiratma:
Convex partial transversals of planar regions. - Philipe A. Dias, Amy Tabb, Henry Medeiros:
Multispecies fruit flower detection using a refined semantic segmentation network. - Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan:
Unsupervised Adversarial Invariance. - Christoph M. Schikora, Markus Plack
, Andreas Kolb:
Residuum-Condition Diagram and Reduction of Over-Complete Endmember-Sets. - Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni:
Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention. - Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers:
Photometric Depth Super-Resolution. - Nikhil Bharadwaj Gosala, Andreas Bühler
, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart:
Redundant Perception and State Estimation for Reliable Autonomous Racing. - Philipp Allgeuer, Sven Behnke:
Fused Angles: A Representation of Body Orientation for Balance. - Philip W. L. Fong:
Results in Workflow Resiliency: Complexity, New Formulation, and ASP Encoding. - Jonathan Graham:
Crippling Crypto-Ransomware. - Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process. - Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis:
Learning Navigation Behaviors End to End. - Daniel Torres-Salinas, Juan Gorraiz, Nicolás Robinson-García:
The insoluble problems of books: What does Altmetric.com have to offer? - Juan Carlos Fuentes Carranza, Philip W. L. Fong:
Brokering Policies and Execution Monitors for IoT Middleware. - Maxime Petit, Amaury Depierre, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen:
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning. - Ritam Dutt, Ashok Deb, Emilio Ferrara:
'Senator, We Sell Ads': Analysis of the 2016 Russian Facebook Ads Campaign. - Viet Hung Tran, Wenwu Wang:
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources. - Jiyuan Zhang, Franz Franchetti, Tze Meng Low:
High Performance Zero-Memory Overhead Direct Convolutions. - Joseph McGrath, Kevin W. Bowyer, Adam Czajka:
Open Source Presentation Attack Detection Baseline for Iris Recognition. - Yuhao Zhang, Peng Qi, Christopher D. Manning:
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. - Linfeng Zhang, Weinan E, Lei Wang:
Monge-Ampère Flow for Generative Modeling. - Suraj Kothawade, Kunjan Mhaske, Sahil Sharma, Furkhan Shaikh:
Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas. - Yutao Ma, Tao Xu, Xiaolei Huang, Xiaofang Wang, Canyu Li, Jason Jerwick, Yuan Ning, Xianxu Zeng, Baojin Wang, Yihong Wang, Zhan Zhang, Xiaoan Zhang, Chao Zhou:
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue. - Xiaolong Liu, Zhidong Deng, Yuhan Yang:
Recent progress in semantic image segmentation. - Lu Sun, Junqiao Zhao, Xudong He, Chen Ye:
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment. - Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko:
Compressing the Input for CNNs with the First-Order Scattering Transform. - Youya Xia, Junaed Sattar:
Visual Diver Recognition for Underwater Human-Robot Collaboration. - Han Kang, Defeng Chen:
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation. - Ryan Marcus, Olga Papaemmanouil:
Towards a Hands-Free Query Optimizer through Deep Learning. - Yaqiao Li:
Trading information complexity for error II. - Shusil Dangi, Ziv Yaniv, Cristian A. Linte:
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning. - Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Optimal Noise-Adding Mechanism in Additive Differential Privacy. - Gabriel Dahia, Maurício Pamplona Segundo:
CNN-based Pore Detection and Description for High-Resolution Fingerprint Recognition. - René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi, Bei Wang:
A Kernel for Multi-Parameter Persistent Homology. - Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images Using Wikipedia. - Jiachen Li, Wei Zhan, Masayoshi Tomizuka:
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter. - K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian:
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. - Berta Bescós, José Neira, Roland Siegwart, Cesar Cadena:
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space. - Shidan Wang, Tao Wang, Lin Yang, Faliu Yi, Xin Luo, Yikun Yang, Adi F. Gazdar, Junya Fujimoto, Ignacio I. Wistuba, Bo Yao, ShinYi Lin, Yang Xie, Yousheng Mao, Guanghua Xiao:
ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network. - Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang:
Classifying Mammographic Breast Density by Residual Learning. - Zhujun Xiao, Yanzi Zhu, Yuxin Chen, Ben Y. Zhao, Junchen Jiang, Haitao Zheng:
Seeding Deep Learning using Wireless Localization. - Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot
:
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images. - Yantao Lu, Burak Kakillioglu, Senem Velipasalar:
Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm. - Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee:
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images. - Matthew Romano, Prince Kuevor, Derek Lukacs, Owen Marshall, Mia N. Stevens, Hossein Rastgoftar, James W. Cutler, Ella M. Atkins:
Experimental Evaluation of Continuum Deformation with a Five Quadrotor Team. - Ahmed Hussain Qureshi, Michael C. Yip:
Deeply Informed Neural Sampling for Robot Motion Planning. - Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. - Chi Zhang, Alexander Loui:
A Coarse-To-Fine Framework For Video Object Segmentation. - Felipe Curty, Troy C. Kohwalter, Vanessa Braganholo, Leonardo Murta:
An Infrastructure for Software Release Analysis through Provenance Graphs. - John Frens, Erin Walker, Gary Hsieh:
Supporting Answerers with Feedback in Social Q&A. - Chi Zhang, Shagan Sah, Thang Nguyen, Dheeraj Peri, Alexander Loui, Carl Salvaggio, Raymond W. Ptucha:
Semantic Sentence Embeddings for Paraphrasing and Text Summarization. - John Frens, Ruby Davis, Jihyun Lee, Diana Zhang, Cecilia R. Aragon:
Reviews Matter: How Distributed Mentoring Predicts Lexical Diversity on FanFiction.net. - Mees van de Kerkhof, Irina Kostitsyna, Maarten Löffler, Majid Mirzanezhad, Carola Wenk:
On Optimal Min-# Curve Simplification Problem. - Mirko Palmer, Thorben Krüger, Balakrishnan Chandrasekaran
, Anja Feldmann:
The QUIC Fix for Optimal Video Streaming. - Chi Zhang, Thang Nguyen, Shagan Sah, Raymond W. Ptucha, Alexander Loui, Carl Salvaggio:
Batch-normalized Recurrent Highway Networks. - Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Domínguez, Andreas E. Savakis, Ray Ptucha:
Semantically Invariant Text-to-Image Generation. - Edward Raff:
Growing and Retaining AI Talent for the United States Government. - Albert Pumarola, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer:
Unsupervised Person Image Synthesis in Arbitrary Poses. - Raphael Tang, Jimmy Lin:
Adaptive Pruning of Neural Language Models for Mobile Devices. - Christopher Iliffe Sprague, Petter Ögren:
Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees. - Leopoldo E. Bertossi:
Repair-Based Degrees of Database Inconsistency: Computation and Complexity. - Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. - Yi Li, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar:
Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks. - Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu, Vincent Lepetit, Francesc Moreno-Noguer:
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View. - Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Peri, Ameya Shringi, Raymond W. Ptucha:
Vector Learning for Cross Domain Representations. - Jingfeng Zhang, Laura Wynter:
Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification. - Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao, Rui Yan:
Iterative Document Representation Learning Towards Summarization with Polishing. - Yan Jin, Elchanan Mossel, Govind Ramnarayan:
Being Corrupt Requires Being Clever, But Detecting Corruption Doesn't. - Yunhao Tang, Shipra Agrawal:
Boosting Trust Region Policy Optimization by Normalizing Flows Policy. - Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Diagnostics in Semantic Segmentation. - Teresa Nicole Brooks:
Using Autoencoders To Learn Interesting Features For Detecting Surveillance Aircraft. - (Withdrawn) Multi-task Learning for Financial Forecasting.
- Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury:
Multi-View Frame Reconstruction with Conditional GAN. - Sajad Daei
, Farzan Haddadi, Arash Amini:
Optimal Exploitation of Subspace Prior Information in Matrix Sensing. - Yasuhito Asano, Soichiro Hidaka, Zhenjiang Hu, Yasunori Ishihara, Hiroyuki Kato, Hsiang-Shang Ko, Keisuke Nakano, Makoto Onizuka, Yuya Sasaki, Toshiyuki Shimizu, Van-Dang Tran, Kanae Tsushima, Masatoshi Yoshikawa:
Making View Update Strategies Programmable - Toward Controlling and Sharing Distributed Data -. - Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. - Zeev Dvir, Sivakanth Gopi, Avi Wigderson:
Spanoids - an abstraction of spanning structures, and a barrier for LCCs. - Hidayet Aksu, A. Selcuk Uluagac, Elizabeth S. Bentley:
Identification of Wearable Devices with Bluetooth. - Kleanthis Malialis, Christoforos Panayiotou, Marios M. Polycarpou:
Queue-based Resampling for Online Class Imbalance Learning. - (Withdrawn) An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance.
- Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu:
3D Face Synthesis Driven by Personality Impression. - Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei:
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. - Po-Yu Liu, Edmund Y. Lam:
Image Reconstruction Using Deep Learning. - Wenxi Liu, Yibing Song, Dengsheng Chen, Yuanlong Yu, Shengfeng He, Rynson W. H. Lau:
Deformable Object Tracking with Gated Fusion. - Klaus Jansen, Marten Maack, Alexander Mäcker:
Scheduling on (Un-)Related Machines with Setup Times. - Sylwester Arabas, Alexandros E. Papacharalampous:
A State-Space Model for Assimilating Passenger and Vehicle Flow Data with User Feedback in a Transit Network. - Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. - Richard Adiguna, Yustinus Eko Soelistio:
CNN Based Posture-Free Hand Detection. - Aidana Irmanova, Grant A. Ellis, Alex Pappachen James:
Impact of Integrated Circuit Packaging on Synaptic Dynamics of Memristive Devices. - Henrik Forssell, Christian Kindermann, Daniel P. Lupp, Uli Sattler, Evgenij Thorstensen:
Generating Ontologies from Templates: A Rule-Based Approach for Capturing Regularity. - Kazybek Adam, Kamilya Smagulova, Olga Krestinskaya, Alex Pappachen James:
Wafer Quality Inspection using Memristive LSTM, ANN, DNN and HTM. - Dmitry Yu. Maximov, Yury S. Legovich, Vladimir Goncharenko:
A Way to Facilitate Decision Making in a Mixed Group of Manned and Unmanned Aerial Vehicles. - Sandra Lagén, Lorenza Giupponi, Sanjay Goyal, Natale Patriciello, Biljana Bojovic, Alpaslan Demir, Mihaela C. Beluri, Josep Mangues-Bafalluy:
New Radio beam-based Access to Unlicensed Spectrum: Design Challenges and Solutions. - Reuben A. Farrugia, Christine Guillemot:
A Simple Framework to Leverage State-Of-The-Art Single-Image Super-Resolution Methods to Restore Light Fields. - Niccolo Pescetelli, Nick Yeung:
On the Use of Metacognitive Evidence in Feedback-free Situations: Advice-taking and Trust Formation. - Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas:
Sample Efficient Adaptive Text-to-Speech. - Joseph Bethge, Haojin Yang, Christian Bartz, Christoph Meinel:
Learning to Train a Binary Neural Network. - Syeda Mariam Ahmed, Yan Zhi Tan, Chee-Meng Chew, Abdullah Al Mamun, Fook Seng Wong:
Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Welding. - Xianghui Zhong:
Probabilistic Analysis of Edge Elimination for Euclidean TSP. - Syeda Mariam Ahmed, Yan Zhi Tan, Gim Hee Lee, Chee-Meng Chew, Chee Khiang Pang:
Object Detection and Motion Planning for Automated Welding of Tubular Joints. - Dan Garber, Atara Kaplan:
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems. - Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
No New-Net. - Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Zeinab Bakhtiari, Hans van Ditmarsch, Abdallah Saffidine:
How does uncertainty about other voters determine a strategic vote? - Dan Garber:
On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA. - Ismail Butun, Alparslan Sari, Patrik Österberg:
Security Implications of Fog Computing on the Internet of Things. - Eunjin Oh:
Point Location in Incremental Planar Subdivisions. - Gustavo Führ, Cláudio R. Jung:
Collective behavior recognition using compact descriptors. - Shaull Almagor, Rajeev Alur, Suguman Bansal:
Equilibria in Quantitative Concurrent Games. - Dan Alistarh, Torsten Hoefler, Mikael Johansson, Sarit Khirirat, Nikola Konstantinov, Cédric Renggli:
The Convergence of Sparsified Gradient Methods. - Victor Chepoi
, Arnaud Labourel, Sébastien Ratel:
Distance and routing labeling schemes for cube-free median graphs. - Zhenzhen Li
, Jian-Feng Cai, Ke Wei:
Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations. - Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. - Tomer Weiss, Alan Litteneker, Noah Duncan, Masaki Nakada, Chenfanfu Jiang, Lap-Fai Yu, Demetri Terzopoulos:
Fast and Scalable Position-Based Layout Synthesis. - Sang Won Bae, Michiel H. M. Smid:
Closest-Pair Queries in Fat Rectangles. - Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Misha Chertkov, Murti V. Salapaka:
Physics Informed Topology Learning in Networks of Linear Dynamical Systems. - Pablo Gil Pereira, Andreas Schmidt, Thorsten Herfet:
Cross-Layer Effects on Training Neural Algorithms for Video Streaming. - Diego Gabriel Krivochen, Douglas Saddy:
Towards a classification of Lindenmayer systems. - Ankit Dhall:
Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar. - Natacha Crooks, Matthew Burke, Ethan Cecchetti
, Sitar Harel, Rachit Agarwal, Lorenzo Alvisi:
Obladi: Oblivious Serializable Transactions in the Cloud. - Binghan He, Gray C. Thomas
, Nicholas Paine, Luis Sentis:
Modeling and Loop Shaping of Single-Joint Amplification Exoskeleton with Contact Sensing and Series Elastic Actuation. - Corina Gurau, Alex Bewley, Ingmar Posner:
Dropout Distillation for Efficiently Estimating Model Confidence. - Yu Zhao, Zhenhui Shi, Jingyang Zhang, Dong Chen, Lixu Gu:
A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria. - Andrew Anderson, David Gregg:
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. - Hans-Joachim Böckenhauer, Elisabet Burjons, Martin Raszyk, Peter Rossmanith:
Reoptimization of Parameterized Problems. - Hidetomo Kataoka, Takashi Ijiri, Kohei Matsumura, Jeremy White, Akira Hirabayashi:
Acoustic Probing for Estimating the Storage Time and Firmness of Tomatoes and Mandarin Oranges. - Jiahe Shi, Chun Qi:
Kernel based low-rank sparse model for single image super-resolution. - Gabriel Homsi, Rafael Martinelli, Thibaut Vidal, Kjetil Fagerholt:
Industrial and Tramp Ship Routing Problems: Closing the Gap for Real-Scale Instances. - Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira A. Perera, Tin Aung Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiéry, Michael J. A. Girard:
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head. - Zheng Xie, XingYu Fu, JinYuan Yu:
AlphaGomoku: An AlphaGo-based Gomoku Artificial Intelligence using Curriculum Learning. - David T. Koops:
Predicting the confirmation time of Bitcoin transactions. - Jaemin Lee, Efstathios Bakolas, Luis Sentis:
Trajectory Generation for Robotic Systems with Contact Force Constraints. - Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel:
Counterfactual Fairness in Text Classification through Robustness. - Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin:
A Successive-Elimination Approach to Adaptive Robotic Sensing. - Andrés García-Silva, José Manuél Gómez-Pérez, Raúl Palma, Marcin Krystek, Simone Mantovani, Federica Foglini, Valentina Grande, Francesco De Leo, Stefano Salvi, Elisa Trasatti, Vito Romaniello, Mirko Albani, Cristiano Silvagni, Rosemarie Leone, Fulvio Marelli, Sergio Albani, Michele Lazzarini, Hazel J. Napier, Helen M. Glaves, Timothy Aldridge, Charles Meertens, Fran Boler, Henry W. Loescher, Christine Laney, Melissa A. Genazzio, Daniel Crawl, Ilkay Altintas:
Enabling FAIR Research in Earth Science through Research Objects. - Karl Schlechta:
Operations on Partial Orders. - Niyazi Sorkunlu, Duc Thanh Anh Luong, Varun Chandola:
dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems. - Michiel van der Ven, Andreas S. Tolias:
Generative replay with feedback connections as a general strategy for continual learning. - Chae Young Lee, Anoop Toffy, Gue Jun Jung, Woo-Jin Han:
Conditional WaveGAN. - Simina Brânzei, Claudio Orlandi, Guang Yang:
Sharing Information with Competitors. - Jad Wahab:
Privacy in Blockchain Systems. - Rohan Kshirsagar, Tyus Cukuvac, Kathleen R. McKeown, Susan McGregor:
Predictive Embeddings for Hate Speech Detection on Twitter. - Philipp Allgeuer, Sven Behnke:
Fused Angles and the Deficiencies of Euler Angles. - Eunice Y. S. Chan, Robert M. Corless, Laureano González-Vega, J. Rafael Sendra, Juana Sendra, Steven E. Thornton:
Bohemian Upper Hessenberg Matrices. - Paul Gainer, Sven Linker, Clare Dixon, Ullrich Hustadt, Michael Fisher:
Multi-Scale Verification of Distributed Synchronisation. - Rodrigo Nogueira, Jannis Bulian, Massimiliano Ciaramita:
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation. - James F. Brady:
Is Your Load Generator Launching Web Requests in Bunches? - Eunice Y. S. Chan, Robert M. Corless, Laureano González-Vega, J. Rafael Sendra, Juana Sendra, Steven E. Thornton:
Bohemian Upper Hessenberg Toeplitz Matrices. - Philipp Allgeuer, Sven Behnke:
Robust Sensor Fusion for Robot Attitude Estimation. - Chengjun Guo, Ying Cui, Zhi Liu:
Optimal Multicast of Tiled 360 VR Video in OFDMA Systems. - Linara Adilova, Nathalie Paul, Peter Schlicht:
Introducing Noise in Decentralized Training of Neural Networks. - Nasrin Sadeghianpourhamami, Johannes Deleu, Chris Develder:
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning. - Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo:
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. - Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab:
Weakly-Supervised Localization and Classification of Proximal Femur Fractures. - Yuval Litvak, Armin Biess, Aharon Bar-Hillel:
Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images. - Philipp Allgeuer, Hafez Farazi, Michael Schreiber, Sven Behnke:
Child-sized 3D Printed igus Humanoid Open Platform. - Shahin Pourbahrami, Leyli Mohammad Khanli, Sohrab Azimpour:
A Novel and Efficient Data Point Neighborhood Construction Algorithm based on Apollonius Circle. - Jeffrey Liu, Andrew J. Weinert, Saurabh Amin:
Semantic Topic Analysis of Traffic Camera Images. - David Allen Surovik, Kun Wang, Kostas E. Bekris:
Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning. - Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu:
Multi-Scale Recursive and Perception-Distortion Controllable Image Super-Resolution. - Philipp Allgeuer, Sven Behnke:
Omnidirectional Bipedal Walking with Direct Fused Angle Feedback Mechanisms. - Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric:
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. - Mark Yatskar:
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC. - Pradyumna Tambwekar, Murtaza Dhuliawala, Animesh Mehta, Lara J. Martin, Brent Harrison, Mark O. Riedl:
Controllable Neural Story Generation via Reinforcement Learning. - Ahmad Biniaz, Evangelos Kranakis, Anil Maheshwari, Michiel H. M. Smid:
Plane and Planarity Thresholds for Random Geometric Graphs. - Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia:
SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation. - Shafie Gholizadeh, Wlodek Zadrozny:
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis. - Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein:
On the loss landscape of a class of deep neural networks with no bad local valleys. - Shahin Salavati, Sina Ahmadi:
Building a Lemmatizer and a Spell-checker for Sorani Kurdish. - Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu:
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. - Yifu Zhang, Jorge Cortés:
Double-layered distributed transient frequency control with regional coordination for power networks. - Gokhan Sagirlar, Barbara Carminati, Elena Ferrari:
AutoBotCatcher: Blockchain-based P2P Botnet Detection for the Internet of Things. - Victor Eijkhout
:
Performance of MPI sends of non-contiguous data. - Daniel Coelho de Castro
, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. - Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, Remco Chang:
Visual Analytics for Automated Model Discovery. - Digvijay Boob, Santanu S. Dey, Guanghui Lan:
Complexity of Training ReLU Neural Network. - Jonathan Juett, Benjamin Kuipers:
Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping. - Mark Collier, Jöran Beel:
An Empirical Comparison of Syllabuses for Curriculum Learning. - Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield:
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. - Razieh Nabi, Phyllis Kanki, Ilya Shpitser:
Estimation of Personalized Effects Associated With Causal Pathways. - Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. - Vinicius Bischoff:
FMIT: Feature Model Integration Techniques. - Sulabh Kumra, Ferat Sahin:
Collaborative Robot Learning from Demonstrations using Hidden Markov Model State Distribution. - Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney:
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning. - Negin Hayatbini, Kuo-lin Hsu, Soroosh Sorooshian, Yunji Zhang, Fuqing Zhang:
Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS. - Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang:
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. - Edward Colbert, Alexander Kott, Lawrence P. Knachel:
Game-Theoretic Model and Experimental Investigation of Cyber Wargaming. - Tianyu Li, Akshara Rai, Hartmut Geyer, Christopher G. Atkeson:
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped. - Yezheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He:
Generative Adversarial Active Learning for Unsupervised Outlier Detection. - Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala
, Ioannis Gkioulekas:
Inverse Transport Networks. - Yun-Zhi Zhuge, Pingping Zhang, Huchuan Lu:
Boundary-guided Feature Aggregation Network for Salient Object Detection. - Yuandong Tian:
A theoretical framework for deep locally connected ReLU network. - Arman Ahmadian:
Throughput Optimization in FDD MU-MISO Wireless Powered Communication Networks. - Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum:
Embedded-State Latent Conditional Random Fields for Sequence Labeling. - Bingli Jiao, Yuli Yang, Mingxi Yin:
Cocktail BPSK: Cross Power Utilization for High Data Rates. - Jun Zhao, Ulrik Lyngs, Nigel Shadbolt:
What privacy concerns do parents have about children's mobile apps, and how can they stay SHARP? - Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian:
Learning and Planning with a Semantic Model. - Lakhan Shiva Kamireddy, Lakhan Saiteja Kamireddy:
UVM Based Reusable Verification IP for Wishbone Compliant SPI Master Core. - Najma Gill:
Comparison of Self-Aware and Organic Computing Systems. - T. S. Jayram, Tomasz Kornuta, Ryan L. McAvoy, Ahmet S. Ozcan:
Using Multi-task and Transfer Learning to Solve Working Memory Tasks. - Dongmian Zou, Gilad Lerman:
Graph Generation via Scattering. - Alexei Baevski, Michael Auli:
Adaptive Input Representations for Neural Language Modeling. - Kai Lin, Subhasis Dasgupta, Amarnath Gupta:
Answering Analytical Queries on Text Data with Temporal Term Histograms. - Zhiling Guo, Hiroaki Shengoku, Guangming Wu, Qi Chen, Wei Yuan, Xiaodan Shi, Xiaowei Shao, Yongwei Xu, Ryosuke Shibasaki:
Semantic Segmentation for Urban Planning Maps based on U-Net. - Masahiko Ueda:
Effect of information asymmetry in Cournot duopoly game with bounded rationality. - Tomonori Kodaira, Mamoru Komachi:
The Rule of Three: Abstractive Text Summarization in Three Bullet Points. - Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. - Seonguk Seo, Paul Hongsuck Seo, Bohyung Han:
Confidence Calibration in Deep Neural Networks through Stochastic Inferences. - Awanthika Senarath, Marthie Grobler, Nalin Asanka Gamagedara Arachchilage:
A model for system developers to measure the privacy risk of data. - Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng:
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting. - Mumtaz Abdul Hameed, Nalin Asanka Gamagedara Arachchilage:
Understanding the influence of Individual's Self-efficacy for Information Systems Security Innovation Adoption: A Systematic Literature Review. - Bartlomiej Placzek:
A hierarchical cellular automaton model of distributed traffic signal control. - Laurent Orgogozo, Nicolas Renon, Cyprien Soulaine, Florent Hénon, Sat Kumar Tomer, David Labat, Oleg S. Pokrovsky, Muddu Sekhar, Rachid Ababou, Michel Quintard:
An open source massively parallel solver for Richards equation: Mechanistic modelling of water fluxes at the watershed scale. - Debopam Bhattacherjee, Sangeetha Abdu Jyothi, Ilker Nadi Bozkurt, Muhammad Tirmazi, Waqar Aqeel, Anthony Aguirre, Balakrishnan Chandrasekaran
, Philip Brighten Godfrey, Gregory Laughlin, Bruce M. Maggs, Ankit Singla:
cISP: A Speed-of-Light Internet Service Provider. - Kuang Zhou, Quan Pan, Arnaud Martin:
Evidential community detection based on density peaks. - Emna Ben Yacoub, Fabian Steiner, Balázs Matuz, Gianluigi Liva:
Protograph-Based LDPC Code Design for Ternary Message Passing Decoding. - Cristina Georgiana Calancea, Lenuta Alboaie, Andrei Panu:
A SwarmESB Based Architecture for an European Healthcare Insurance System in Compliance with GDPR. - Ioana Stanescu, Lenuta Alboaie, Andrei Panu:
Blockchain and Smart-contracts Modeled in a SwarmESB Ecosystem. - Seongjong Song, Hyunjung Shim:
Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks. - Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos:
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. - Giulia Cervia, Laura Luzzi, Maël Le Treust, Matthieu R. Bloch:
Strong Coordination over Noisy Channels with Strictly Causal Encoding. - Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. - Oscar G. Lorenzo, M. L. Becoña, Tomás F. Pena, José Carlos Cabaleiro, Juan Angel Lorenzo, Francisco F. Rivera:
New Thread Migration Strategies for NUMA Systems. - Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. - Jun Zhao:
Are Children Well-Supported by Their Parents Concerning Online Privacy Risks, and Who Supports the Parents? - Jean-Daniel Boissonnat, Siddharth Pritam, Divyansh Pareek:
Strong Collapse for Persistence. - Richard Booth, Giovanni Casini, Thomas Andreas Meyer, Ivan Varzinczak:
On Rational Entailment for Propositional Typicality Logic. - Ali Marandi, Torsten Braun, Kavé Salamatian, Nikolaos Thomos:
Pull-based Bloom Filter-based Routing for Information-Centric Networks. - Sheng He, Lambert Schomaker:
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images. - Jad Wahab:
Coconut E-Petition Implementation. - Rubén Héctor García-Ortega, Juan Julián Merelo Guervós, Pablo García-Sánchez, Gad Pitaru:
Overview of PicTropes, a film trope dataset. - Yutong Ban, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers. - (Withdrawn) Target-Independent Active Learning via Distribution-Splitting.
- Antonio D'Innocente, Barbara Caputo:
Domain Generalization with Domain-Specific Aggregation Modules. - Rémi Delassus, Romain Giot:
CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge. - Stephan Spiegel, Fabian Müller, Dorothea Wiesmann, John Bird:
Cost-Sensitive Learning for Predictive Maintenance. - Benjamin Wassermann, Stefan Kollmannsberger, Tino Bog, Ernst Rank:
From geometric design to numerical analysis: A direct approach using the Finite Cell Method on Constructive Solid Geometry. - Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GroupCast: Preference-Aware Cooperative Video Streaming with Scalable Video Coding. - Ricardo Brito, Alonso Rodríguez-Navarro:
Evaluating research and researchers by the journal impact factor: is it better than coin flipping? - Jinhong Li, Hongyu Liu, Wing-Yan Tsui, Xianchao Wang:
An inverse scattering approach for geometric body generation: a machine learning perspective. - Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama:
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels. - Peifeng Wang, Shuangyin Li, Rong Pan:
Incorporating GAN for Negative Sampling in Knowledge Representation Learning. - Max Schwarz, Julio Pastrana, Philipp Allgeuer, Michael Schreiber, Sebastian Schüller, Marcell Missura, Sven Behnke:
Humanoid TeenSize Open Platform NimbRo-OP. - Ziwei Zhang:
A Note on Spectral Clustering and SVD of Graph Data. - Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi:
Efficient Linear Bandits through Matrix Sketching. - Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Paul Liddell, Richard Bean
, H. Vincent Poor:
Peer-to-Peer Energy Trading with Sustainable User Participation: A Game Theoretic Approach. - B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard:
Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps. - Renuka Kumar, Anjana Mariam Kurian:
A Systematic Study on Static Control Flow Obfuscation Techniques in Java. - Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen:
Interest point detectors stability evaluation on ApolloScape dataset. - Maki Miyamoto, Louis-François Pau
:
Can female fertility management mobile apps be sustainable and contribute to female health care? Harnessing the power of patient generated data ; Analysis of the organizations active in this e-Health segment. - Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, Neil C. Rabinowitz, Thore Graepel, Matthew M. Botvinick, Peter W. Battaglia:
Relational Forward Models for Multi-Agent Learning. - Yen-Lung Lai, Jung Yeon Hwang, Zhe Jin, Soohyong Kim, Sangrae Cho, Andrew Beng Jin Teoh:
A Symmetric Keyring Encryption Scheme for Biometric Cryptosystems. - Philipp Allgeuer, Max Schwarz, Julio Pastrana, Sebastian Schüller, Marcell Missura, Sven Behnke:
A ROS-based Software Framework for the NimbRo-OP Humanoid Open Platform. - Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen:
SConE: Siamese Constellation Embedding Descriptor for Image Matching. - Naveed Ahmed Azam, Umar Hayat, Ikram Ullah:
Efficient Construction of S-boxes Based on a Mordell Elliptic Curve Over a Finite Field. - Martin Biely, Peter Robinson:
On the Hardness of the Strongly Dependent Decision Problem. - Jacek Komorowski, Tomasz Trzcinski:
Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications. - Jacek Komorowski, Przemyslaw Rokita:
Camera Pose Estimation from Sequence of Calibrated Images. - Philipp Allgeuer, Sven Behnke:
Hierarchical and State-based Architectures for Robot Behavior Planning and Control. - Hossein Zeinali, Lukás Burget, Hossein Sameti, Jan Cernocký:
Spoken Pass-Phrase Verification in the i-vector Space. - Jacek Komorowski, Przemyslaw Rokita:
Face Recognition Based on Sequence of Images. - Marcell Missura, Cedrick Münstermann, Philipp Allgeuer, Max Schwarz, Julio Pastrana, Sebastian Schüller, Michael Schreiber, Sven Behnke:
Learning to Improve Capture Steps for Disturbance Rejection in Humanoid Soccer. - Jacek Komorowski, Przemyslaw Rokita:
Extrinsic camera calibration method and its performance evaluation. - Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen:
Robot Representing and Reasoning with Knowledge from Reinforcement Learning. - Hafez Farazi, Philipp Allgeuer, Sven Behnke:
A Monocular Vision System for Playing Soccer in Low Color Information Environments. - Saravanan Thirumuruganathan, Shameem Ahamed Puthiya Parambath, Mourad Ouzzani, Nan Tang, Shafiq R. Joty:
Reuse and Adaptation for Entity Resolution through Transfer Learning. - Arash Ardakani, Zhengyun Ji, Sean C. Smithson, Brett H. Meyer, Warren J. Gross:
Learning Recurrent Binary/Ternary Weights. - T. S. Jayram, Younes Bouhadjar, Ryan L. McAvoy, Tomasz Kornuta, Alexis Asseman, Kamil Rocki, Ahmet S. Ozcan:
Learning to Remember, Forget and Ignore using Attention Control in Memory. - Gavin Pearson, Phil Jolley, Geraint Evans:
A Systems Approach to Achieving the Benefits of Artificial Intelligence in UK Defence. - Andrew Brock, Jeff Donahue, Karen Simonyan:
Large Scale GAN Training for High Fidelity Natural Image Synthesis. - Michael Färber, Achim Rettinger:
Which Knowledge Graph Is Best for Me? - Zhihao Li, Toshiyuki Motoyoshi, Kazuma Sasaki, Tetsuya Ogata, Shigeki Sugano:
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability. - Philipp Allgeuer, Hafez Farazi, Grzegorz Ficht, Michael Schreiber, Sven Behnke:
The igus Humanoid Open Platform: A Child-sized 3D Printed Open-Source Robot for Research. - Thomas Bonald, Alexandre Hollocou, Marc Lelarge:
Weighted Spectral Embedding of Graphs. - Shiva R. Iyer
, Soumie Kumar, Kate Boxer, Fatima Zarinni, Lakshminarayanan Subramanian:
The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications. - Hafez Farazi, Philipp Allgeuer, Grzegorz Ficht, André Brandenburger, Dmytro Pavlichenko, Michael Schreiber, Sven Behnke:
RoboCup 2016 Humanoid TeenSize Winner NimbRo: Robust Visual Perception and Soccer Behaviors. - Yanting Hu, Jie Li, Yuanfei Huang, Xinbo Gao:
Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution. - Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang:
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. - Grzegorz Ficht, Philipp Allgeuer, Hafez Farazi, Sven Behnke:
NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research. - Timothy M. Chan, Sariel Har-Peled, Mitchell Jones:
On Locality-Sensitive Orderings and their Applications. - Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, Mehdi Rezagholizadeh:
SALSA-TEXT : self attentive latent space based adversarial text generation. - Daniel Ziener:
Improving Reliability, Security, and Efficiency of Reconfigurable Hardware Systems. - Umberto Martínez-Peñas, Frank R. Kschischang:
Universal and Dynamic Locally Repairable Codes with Maximal Recoverability via Sum-Rank Codes. - Maximilian Felde, Tom Hanika:
Formal Context Generation using Dirichlet Distributions. - Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger, Andrew Gordon Wilson:
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration. - Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. - Mark Neyrinck:
The Cosmic Spiderweb and General Origami Tessellation Design. - Stanley H. Chan:
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective. - Amir Ahmadi-Javid, Oded Berman, Pooya Hoseinpour:
Location and Capacity Planning of Facilities with General Service-Time Distributions Using Conic Optimization. - Anastasis Kratsios, Cody B. Hyndman:
The NEU Meta-Algorithm for Geometric Learning with Applications in Finance. - Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Shiwei Sun, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu:
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. - Chitradeep G. Hazra:
The Optimization Problem of Quantum Discord In the Language of Correlated Observables. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
On Adjacency and e-Adjacency in General Hypergraphs: Towards a New e-Adjacency Tensor. - Kelvin Hsu, Richard Nock, Fabio Ramos:
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds. - Zhongyan Fan, Ying-Cheng Lai, Wallace Kit-Sang Tang:
Knowledge Consensus in complex networks: the role of learning. - Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu:
Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data. - Vasco Brattka, Guido Gherardi:
Weihrauch goes Brouwerian. - Manijeh Bashar, Katsuyuki Haneda, Alister G. Burr, Kanapathippillai Cumanan:
A Study of Dynamic Multipath Clusters at 60 GHz in a Large Indoor Environment. - Neave O'Clery, Ye Yuan, Guy-Bart Stan, Mauricio Barahona
:
Global Network Prediction from Local Node Dynamics. - Min-Woo Ahn, Woo-Sung Jung:
A study on the performance of similarity indices and its relationship with link prediction: a two-state random network case. - Hongkuan Zhou, Yuzhou Li, Tao Jiang:
Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach. - Joran van Apeldoorn, András Gilyén, Sander Gribling, Ronald de Wolf:
Convex optimization using quantum oracles. - Alex Kruckman, Lawrence S. Moss:
Exploring the Landscape of Relational Syllogistic Logics. - Dmitry Batenkov, Laurent Demanet, Gil Goldman, Yosef Yomdin:
Stability of partial Fourier matrices with clustered nodes. - Anayo K. Akametalu, Shromona Ghosh, Jaime F. Fisac, Claire J. Tomlin:
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets. - César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. - Kathie Cameron, Shenwei Huang, Owen D. Merkel:
An Optimal χ-Bound for (P6, diamond)-Free Graphs. - Eitan Sapiro-Gheiler:
"Read My Lips": Using Automatic Text Analysis to Classify Politicians by Party and Ideology. - Irene Santos, Juan José Murillo-Fuentes, Eva Arias-de-Reyna:
Equalization with Expectation Propagation at Smoothing Level. - John N. Jomo, Frits de Prenter, Mohamed Elhaddad, Davide D'Angella, Clemens Verhoosel, Stefan Kollmannsberger, Jan S. Kirschke, Vera Nübel, Harald van Brummelen, Ernst Rank:
Robust and parallel scalable iterative solutions for large-scale finite cell analyses. - Juste Raimbault:
Unveiling co-evolutionary patterns in systems of cities: a systematic exploration of the SimpopNet model. - Matteo Franciolini, Lorenzo Botti, Alessandro Colombo, Andrea Crivellini:
p-Multigrid matrix-free discontinuous Galerkin solution strategies for the under-resolved simulation of incompressible turbulent flows. - Ludomir Zommer, Konrad Gizynski, Jerzy Gorecki:
On the predictive power of database classifiers formed by a small network of interacting chemical oscillators. - Dorje C. Brody, David M. Meier:
How to model fake news. - Philipp Petersen, Felix Voigtländer:
Equivalence of approximation by convolutional neural networks and fully-connected networks. - Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung:
Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms. - Gianluca Fontanesi, Anding Zhu, Hamed Ahmadi:
Saving Lives at Sea with UAV-assisted Wireless Networks. - Asim Mazin, Mohamed Elkourdi, Richard D. Gitlin:
Accelerating Beam Sweeping in mmWave Standalone 5G New Radios using Recurrent Neural Networks. - Gesualdo Scutari, Ying Sun:
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs. - Roman Kaplan, Leonid Yavits, Ran Ginosar:
RASSA: Resistive Accelerator for Approximate Long Read DNA Mapping. - Zac Cranko, Simon Kornblith, Zhan Shi, Richard Nock:
Lipschitz Networks and Distributional Robustness. - Atsuhiro Satoh, Yasuhito Tanaka:
Nash equilibrium in asymmetric multi-players zero-sum game with two strategic variables and only one alien. - E. DeGiuli:
Random Language Model: a path to principled complexity. - Kuan He, Zihao W. Wang, Xiang Huang, Xiaolei Wang, Seunghwan Yoo, Pablo Ruiz, Itay Gdor, Alan Selewa, Nicola J. Ferrier, Norbert Scherer, Mark Hereld, Aggelos K. Katsaggelos, Oliver Cossairt:
Computational multifocal microscopy. - Xi Mo, Ke Tao, Quan Wang, Guanghui Wang:
An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN. - Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely:
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach. - Enwei Zhu, Maham Khan, Philipp Kats, Shreya Santosh Bamne, Stanislav Sobolevsky:
Digital Urban Sensing: A Multi-layered Approach. - Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff:
BOLD5000: A public fMRI dataset of 5000 images. - Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Routing for Traffic Networks with Mixed Autonomy. - Jianyi Zhang, Ruiyi Zhang, Changyou Chen:
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. - Yongshan Ding, Adam Holmes, Ali JavadiAbhari, Diana Franklin, Margaret Martonosi, Frederic T. Chong:
Magic-State Functional Units: Mapping and Scheduling Multi-Level Distillation Circuits for Fault-Tolerant Quantum Architectures. - Jacob Fox, Lisa Sauermann:
A completion of the proof of the Edge-statistics Conjecture. - Jaouad Mourtada, Stéphane Gaïffas:
Anytime Hedge achieves optimal regret in the stochastic regime. - Yngve Dahle, Martin Steinert, Anh Nguyen-Duc, Roman Chizhevskiy:
Resource and Competence (Internal) View vs. Environment and Market (External) View when defining a Business. - Atsuhiro Satoh, Yasuhito Tanaka:
Sion's mini-max theorem and Nash equilibrium in a multi-players game with two groups which is zero-sum and symmetric in each group. - Dmytro Sytnyk:
Parallel numerical method for nonlocal-in-time Schrödinger equation. - Ivailo Hartarsky, Tamás Róbert Mezei:
Computing the Difficulty of Critical Bootstrap Percolation Models is NP-hard. - Lin Bai, Yiming Zhao, Xinming Huang:
A CNN Accelerator on FPGA Using Depthwise Separable Convolution. - Bosiljka Tadic:
Self-Organised Criticality and Emergent Hyperbolic Networks - Blueprint for Complexity in Social Dynamics. - Shaohan Chen, Chuanhou Gao:
Knowledge Integrated Classifier Design Based on Utility Optimization. - Denis K. Samuylov, Prateek Purwar, Gábor Székely, Grégory Paul:
Modelling Point Spread Function in Fluorescence Microscopy with a Sparse Combination of Gaussian Mixture: Trade-off between Accuracy and Efficiency. - Max Pfeffer, Anna Seigal, Bernd Sturmfels:
Learning Paths from Signature Tensors. - Denis K. Samuylov, Gábor Székely, Grégory Paul:
A Bayesian framework for the analog reconstruction of kymographs from fluorescence microscopy data. - Md. Ashad Alam, Mohammad Shahjama, Md. Ferdush Rahman:
Gene Shaving using influence function of a kernel method. - Attila Szolnoki, Xiaojie Chen:
Reciprocity-based cooperative phalanx maintained by overconfident players. - Andrei Alpeev:
Some results relating Kolmogorov complexity and entropy of amenable group actions. - Tsuyoshi Yoshida, Magnus Karlsson, Erik Agrell:
Hierarchical Distribution Matching for Probabilistically Shaped Coded Modulation. - Robert L. Grossman:
Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data. - Niharika Gauraha, Akshay Chaturvedi:
A Limitation of V-Matrix based Methods. - Yu-Ting Lin, Yu-Lun Lo, Chen-Yun Lin, Hau-Tieng Wu, Martin G. Frasch:
Calibration for massive physiological signal collection in hospital - Sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data. - George Sterpu, Christian Saam, Naomi Harte:
Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition. - Shouvanik Chakrabarti, Andrew M. Childs, Tongyang Li
, Xiaodi Wu:
Quantum algorithms and lower bounds for convex optimization. - Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. - Tomoya Murata, Taiji Suzuki:
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation. - Thomas Kalinowski, Tomas Lidén, Hamish Waterer:
Tight MIP formulations for bounded length cyclic sequences. - Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi
, Jeffrey A. Fessler:
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. - Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans:
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. - Noga Alon, Igor Balla, Lior Gishboliner, Adva Mond, Frank Mousset:
The Minrank of Random Graphs over Arbitrary Fields. - Guillaume Zahnd, Kozue Saito, Kazuyuki Nagatsuka, Yoshito Otake, Yoshinobu Sato:
Dynamic Block Matching to assess the longitudinal component of the dense motion field of the carotid artery wall in B-mode ultrasound sequences - Association with coronary artery disease. - Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi:
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. - Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Gaussian Process Regression for Binned Data. - Alessandro Arlotto, Xinchang Xie:
Logarithmic regret in the dynamic and stochastic knapsack problem. - Debankur Mukherjee:
Scalable Load Balancing Algorithms in Networked Systems. - Cole Hawkins, Zheng Zhang:
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. - Juan B. Cabral
, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas:
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. - Dino Oglic, Thomas Gärtner:
Large Scale Learning with Kreĭn Kernels. - Felipe A. Tobar:
Bayesian Nonparametric Spectral Estimation. - Yuan Yuan, Xiaojing Dong, Chen Dong, Yiwen Sun, Zhenyu Yan, Abhishek Pani:
Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising. - Adriana Balan, Alexander Kurz, Jirí Velebil:
Extending set functors to generalised metric spaces. - Ryan Ferguson, Andrew Green:
Applying Deep Learning to Derivatives Valuation. - Kevin G. Jamieson, Lalit Jain:
A Bandit Approach to Multiple Testing with False Discovery Control. - Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang Juang:
Adversarial Feature-Mapping for Speech Enhancement. - Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang Juang:
Cycle-Consistent Speech Enhancement. - Mark Bun, Robin Kothari, Justin Thaler:
Quantum algorithms and approximating polynomials for composed functions with shared inputs. - Yunpeng Zhao, Qing Pan, Chengan Du:
Logistic Regression Augmented Community Detection for Network Data with Application in Identifying Autism-Related Gene Pathways. - Andreea B. Alexandru
, Konstantinos Gatsis, Yasser Shoukry, Sanjit A. Seshia, Paulo Tabuada, George J. Pappas:
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption. - Zhize Li, Jian Li:
An Anderson-Chebyshev Mixing Method for Nonlinear Optimization. - Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier:
Multi-Target Prediction: A Unifying View on Problems and Methods. - Philipp Grohs, Fabian Hornung, Arnulf Jentzen, Philippe von Wurstemberger:
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations. - Assaf Naor:
Metric dimension reduction: A snapshot of the Ribe program. - Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki:
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. - Shravan Mohan:
A note on rank constrained solutions to linear matrix equations. - (Withdrawn) A note on concentration inequality for vector-valued martingales with weak exponential-type tails.
- Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. - Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem. - Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall:
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. - Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Multi-level hypothesis testing for populations of heterogeneous networks. - (Withdrawn) Local Coloring and its Complexity.
- Kateryna Slovak, Serhiy Semerikov, Yu. V. Tryus:
Mobile mathematical environments: current state and development prospects. - Val Andrei Fajardo, David Findlay, Roshanak Houmanfar, Charu Jaiswal, Jiaxi Liang, Honglei Xie:
VOS: a Method for Variational Oversampling of Imbalanced Data. - Cláudio Gomes, Raphaël M. Jungers, Benoît Legat, Hans Vangheluwe:
Minimally Constrained Stable Switched Systems and Application to Co-simulation. - Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai:
RetGK: Graph Kernels based on Return Probabilities of Random Walks. - I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi:
Capacity analysis and bit allocation design for variable-resolution ADCs in Massive MIMO. - Jinyin Chen, Yangyang Wu, Xuanheng Xu, Yixian Chen, Haibin Zheng, Qi Xuan:
Fast Gradient Attack on Network Embedding. - Xin Zhang, Bei Niu:
A note on the edge partition of graphs containing either a light edge or an alternating 2-cycle. - Jinkun Chen, Weicheng Cai, Danwei Cai, Zexin Cai, Haibin Zhong, Ming Li:
End-to-end Language Identification using NetFV and NetVLAD. - Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao:
Towards Query Efficient Black-box Attacks: An Input-free Perspective. - Laszlo Gyongyosi, Sándor Imre:
Topology Adaption for the Quantum Internet. - William Gilpin:
Cellular automata as convolutional neural networks. - Marek Skarupski, Krzysztof Szajowski:
Full vs. no information best choice game with finite horizon. - Naoki Hayashi:
Variational Approximation Accuracy in Bayesian Non-negative Matrix Factorization. - Yuanlong Wang, Daoyi Dong, Akira Sone, Ian R. Petersen, Hidehiro Yonezawa, Paola Cappellaro:
Quantum Hamiltonian Identifiability via a Similarity Transformation Approach and Beyond. - Yasuhito Tanaka:
On zero-sum game formulation of non zero-sum game. - Alexei Botchkarev:
Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology. - Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang:
Leveraging Elastic Demand for Forecasting. - Jaewook Kwak, Ness B. Shroff:
Simulated Annealing for Optimal Resource Allocation in Wireless Networks with ImperfectCommunications. - Denali Molitor, Deanna Needell:
An iterative method for classification of binary data. - Agniva Chowdhury, Jiasen Yang, Petros Drineas:
Randomized Iterative Algorithms for Fisher Discriminant Analysis. - David Offner, Kerry Ojakian:
Comparing the power of cops to zombies in pursuit-evasion games. - Filip Hanzely
, Konstantin Mishchenko
, Peter Richtárik
:
SEGA: Variance Reduction via Gradient Sketching. - Abdullah M. Khalili:
An Optimization-Based Generative Model of Power Laws Using a New Information Theory Based Metric. - Yuval Filmus:
FKN theorem for the multislice, with applications. - Andrew R. Barron, Jason M. Klusowski:
Approximation and Estimation for High-Dimensional Deep Learning Networks. - Xingzhou Du, Kai Fung Chan, Xianfeng Xia, Philip Wai Yan Chiu, Li Zhang:
A Magnetically-Triggered Soft Capsule for On-Demand Mucus Collection. - Shin Harase:
Comparison of Sobol' sequences in financial applications. - Jingwei Liu:
Extension and Application of Deleting Items and Disturbing Mesh Theorem of Riemann Integral. - Anthony M. Bloch, Margarida Camarinha, Leonardo Colombo:
Dynamic interpolation for obstacle avoidance on Riemannian manifolds. - Olivier Finkel:
An Effective Property of ω-Rational Functions. - Paul Görlach
, Yue Ren, Jeff Sommars:
Detecting tropical defects of polynomial equations. - Brijnesh J. Jain:
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping. - Jan Medina, Jorge Finke, Camilo Rocha:
Estimating Formation Mechanisms and Degree Distributions in Mixed Attachment Networks. - Urs Niesen, Jayakrishnan Unnikrishnan:
Joint Beamforming and Association Design for MIMO Radar. - David C. McKay, Thomas Alexander, Luciano Bello, Michael J. Biercuk, Lev S. Bishop, Jiayin Chen, Jerry M. Chow, Antonio D. Córcoles, Daniel J. Egger, Stefan Filipp, Juan Gomez, Michael R. Hush, Ali Javadi-Abhari, Diego Moreda, Paul D. Nation, Brent Paulovicks, Erick Winston, Christopher J. Wood, James R. Wootton, Jay M. Gambetta:
Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments. - Xiu Yang, Guzel Tartakovsky, Alexandre M. Tartakovsky:
Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence. - Yuval Filmus, Ryan O'Donnell, Xinyu Wu:
A log-Sobolev inequality for the multislice, with applications. - Albert Akhriev, Jakub Marecek, Andrea Simonetto:
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. - Richard L. Sutherland, Ilya V. Kolmanovsky
, Anouck R. Girard, Frederick A. Leve, Christopher D. Petersen:
Optimal Strategies for Disjunctive Sensing and Control. - Adrian Dumitrescu, Ritankar Mandal:
New Lower Bounds for the Number of Pseudoline Arrangements. - Jose A. Perea:
A Brief History of Persistence. - Alperen Ali Ergür, Grigoris Paouris, J. Maurice Rojas:
Probabilistic Condition Number Estimates for Real Polynomial Systems II: Structure and Smoothed Analysis. - Jian-Feng Cai, Ke Wei:
Exploiting the structure effectively and efficiently in low rank matrix recovery. - Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Ke-shi Ge, Xicheng Lu:
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. - Troy Lee, Maharshi Ray, Miklos Santha:
Strategies for quantum races. - Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. - Marinus Gottschau, Marcus Kaiser, Clara Waldmann
:
The Undirected Two Disjoint Shortest Paths Problem. - Antti Koskela, Antti Honkela:
Learning rate adaptation for differentially private stochastic gradient descent. - Mohammad Sultan Alam:
Analysis of Sequence Polymorphism of LINEs and SINEs in Entamoeba histolytica. - Adriana D. Correia, Henk T. C. Stoof:
Nash Equilibria in the Response Strategy of Correlated Games. - Hao Zhang, Stephen A. Zahorian, Xiao Chen, Peter Guzewich, Xiaoyu Liu:
Dual-label Deep LSTM Dereverberation For Speaker Verification. - Michalis Ramp, Evangelos Papadopoulos:
Geometric Surface-Based Tracking Control of a Quadrotor UAV under Actuator Constraints. - Mario Hernán Castañeda García, Marcin Iwanow, Richard A. Stirling-Gallacher:
LOS MIMO Design based on Multiple Optimum Antenna Separations. - Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Efficient Statistics, in High Dimensions, from Truncated Samples. - Saban Alaca, Goldwyn Millar:
Shift-Inequivalent Decimations of the Sidelnikov-Lempel-Cohn-Eastman Sequences. - Iasson Karafyllis, Miroslav Krstic:
Small-Gain-Based Boundary Feedback Design for Global Exponential Stabilization of 1-D Semilinear Parabolic PDEs. - (Withdrawn) Estimate the Warfarin Dose by Ensemble of Machine Learning Algorithms.
- Weihua Li, Skyler J. Cranmer, Zhiming Zheng, Peter J. Mucha:
Infectivity Enhances Prediction of Viral Cascades in Twitter. - Ivette Vélez, Caleb Rascón, Gibran Fuentes Pineda:
One-Shot Speaker Identification for a Service Robot using a CNN-based Generic Verifier. - Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig:
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. - Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Change-Point Detection on Hierarchical Circadian Models. - Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee:
EEG-based video identification using graph signal modeling and graph convolutional neural network. - Ringi Kim, O-joung Kwon, Sang-il Oum, Vaidy Sivaraman:
Classes of graphs with no long cycle as a vertex-minor are polynomially χ-bounded. - Trefor W. Evans, Prasanth B. Nair:
Discretely Relaxing Continuous Variables for tractable Variational Inference. - Dominik Linzner, Heinz Koeppl:
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. - Roberta Amato, Lucas Lacasa, Albert Díaz-Guilera, Andrea Baronchelli:
The Dynamics of Norm Change in the Cultural Evolution of Language. - Kotaro Fujisawa, Hirotada Okawa, Yu Yamamoto, Shoichi Yamada:
Effects of rotation and magnetic field on the revival of a stalled shock in supernova explosions. - Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang:
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. - Suwon Shon, Hao Tang, James R. Glass:
Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model. - Vishnu Menon, Sheetal Kalyani:
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm. - Yucheng Wang, Wei Xu, Hua Zhang, Xiaohu You:
Wideband mmWave Channel Estimation for Hybrid Massive MIMO with Low-Precision ADCs. - Suwon Shon, Wei-Ning Hsu, James R. Glass:
Unsupervised Representation Learning of Speech for Dialect Identification. - Anu Vazhayil, Vinaykumar R., Soman K. P:
DeepProteomics: Protein family classification using Shallow and Deep Networks. - Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, Kenneth M. Zick:
Exploring More-Coherent Quantum Annealing. - Kaarthik Sundar, Harsha Nagarajan, Sidhant Misra, Mowen Lu, Carleton Coffrin, Russell Bent:
Optimization-Based Bound Tightening using a Strengthened QC-Relaxation of the Optimal Power Flow Problem. - Anshuka Rangi, Massimo Franceschetti, Stefano Maranò:
Distributed Chernoff Test: Optimal decision systems over networks. - Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu:
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration. - Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Efficient Global Optimization using Deep Gaussian Processes. - Balaji Sesha Sarath Pokuri, Alec Lofquist, Chad M. Risko, Baskar Ganapathysubramanian:
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization. - Peter Beelen, Sudhir R. Ghorpade:
Hyperplane Sections of Determinantal Varieties over Finite Fields and Linear Codes. - Asaf Ferber, Jacob Fox, Vishesh Jain:
Towards the linear arboricity conjecture. - Linus Hamilton, Ankur Moitra:
The Paulsen Problem Made Simple. - Vamsi K. Amalladinne, Avinash Vem, Dileep Kumar Soma, Krishna R. Narayanan, Jean-François Chamberland:
A Coupled Compressive Sensing Scheme for Uncoordinated Multiple Access. - Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik:
Bayesian Structure Learning by Recursive Bootstrap. - Thomas Bird, Julius Kunze, David Barber:
Stochastic Variational Optimization. - Alejandro Baldominos, Antonio José Moreno, Rubén Iturrarte, Óscar Bernárdez, Carlos Afonso:
Identifying Real Estate Opportunities using Machine Learning. - Matús Medo, An Zeng, Yi-Cheng Zhang, Manuel Sebastian Mariani:
Optimal timescale of community detection in growing networks. - Hannes Pichler
, Sheng-Tao Wang, Leo Zhou, Soonwon Choi, Mikhail D. Lukin:
Computational complexity of the Rydberg blockade in two dimensions. - Geoffrey Wolfer
, Aryeh Kontorovich:
Minimax Learning of Ergodic Markov Chains. - Yingying Fan, Jinchi Lv, Mahrad Sharifvaghefi, Yoshimasa Uematsu:
IPAD: Stable Interpretable Forecasting with Knockoffs Inference. - Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Brendan O'Donoghue, Arnaud Doucet:
Hamiltonian Descent Methods. - Amichai Painsky:
Generalized Independent Components Analysis Over Finite Alphabets. - Amichai Painsky:
MSc Dissertation: Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. - Attila Szolnoki, Xiaojie Chen:
Competition and partnership between conformity and payoff-based imitations in social dilemmas. - Bart Aalbers, Jan Van Haaren:
Distinguishing Between Roles of Football Players in Play-by-play Match Event Data. - Liyuan Xu, Junya Honda, Masashi Sugiyama:
Dueling Bandits with Qualitative Feedback. - Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Variational Autoencoder with Implicit Optimal Priors. - Andrea Matera, Vittorio Rampa
, Marcello Donati, Armando Colamonico, Andrea F. Cattoni, Umberto Spagnolini:
A First Experimental Demonstration of Analog MIMO Radio-over-Copper. - Illia O. Teplytskyi, Serhiy O. Semerikov:
Simulation using random numbers. - Mingyuan Wang, Adrian Barbu:
Are screening methods useful in feature selection? An empirical study. - Toyohiro Tsurumaru:
Leftover hashing from quantum error correction: Unifying the two approaches to the security proof of quantum key distribution. - Bas H. M. van der Velden:
BPE and computer-extracted parenchymal enhancement for breast cancer risk, response monitoring, and prognosis. - Pantita Palittapongarnpim, Barry C. Sanders:
Robustness of Adaptive Quantum-Enhanced Phase Estimation. - Y. Cooper:
Secondary gradient descent in higher codimension. - Preetum Nakkiran, Jaroslaw Blasiok:
The Generic Holdout: Preventing False-Discoveries in Adaptive Data Science. - Matteo Cavaliere, Vincent Danos, Ricardo Honorato-Zimmer, William Waites:
Annotations for Rule-Based Models. - Yuanwei Liu, Zhijin Qin, Yunlong Cai, Yue Gao, Geoffrey Ye Li, Arumugam Nallanathan:
UAV Communications Based on Non-Orthogonal Multiple Access. - Egon Balas, Thiago Serra:
When Lift-and-Project Cuts are Different. - Amichai Painsky, Saharon Rosset, Meir Feder:
Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. - Jin Hua Zhao, Hai-Jun Zhou:
Two faces of greedy leaf removal procedure on graphs. - Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. - Daniel M. Kane:
Quantum Money from Modular Forms. - Peter Mills:
Solving for multi-class: a survey and synthesis. - Brian A. Cohn, Dilan D. Shah, Ali Marjaninejad
, Martin Shapiro, Serhan Ulkumen, Christopher M. Laine, Francisco J. Valero Cuevas, Kenneth H. Hayashida, Sarah Ingersoll:
Quantifying and attenuating pathologic tremor in virtual reality. - Meimei Liu, Jean Honorio, Guang Cheng:
Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. - Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook:
A convex formulation for high-dimensional sparse sliced inverse regression. - Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux:
Extracting Universal Representations of Cognition across Brain-Imaging Studies. - Pavan Vasishta, Dominique Vaufreydaz
, Anne Spalanzani:
Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data. - Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao:
Implementable Quantum Classifier for Nonlinear Data. - Aili Asikainen, Gerardo Iñiguez, Kimmo Kaski, Mikko Kivelä:
Cumulative effects of triadic closure and homophily in social networks. - Sven Banisch, Eckehard Olbrich:
An Argument Communication Model of Polarization and Ideological Alignment. - Mathis Fleury, Pierre Maurel
, Marsel Mano, Elise Bannier
, Christian Barillot:
Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition. - Colin de Vrieze, Ljiljana Simic, Petri Mähönen:
The Importance of Being Earnest: Performance of Modulation Classification for Real RF Signals. - Roland Pulch, Sebastian Schöps:
Sparse Representations for Uncertainty Quantification of a Coupled Field-Circuit Problem. - Henk Barendregt, Sebastiaan A. Terwijn:
Fixed point theorems for precomplete numberings. - Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate. - Andre Manoel
, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion, Lenka Zdeborová:
Approximate message-passing for convex optimization with non-separable penalties. - Clyde Fare, Lukas Turcani, Edward O. Pyzer-Knapp:
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks. - Forrest Laine, Claire J. Tomlin:
The Parallelization of Riccati Recursion. - Elyar Zavary, Mahdi Sojoodi:
A class of non-linear fractional-order system stabilisation via fixed-order dynamic output feedback controller. - Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. - Chaya Keller, Shakhar Smorodinsky:
A new lower bound on Hadwiger-Debrunner numbers in the plane. - Krishnakumar Balasubramanian, Saeed Ghadimi:
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. - Eli Amzallag, Andrei Minchenko, Gleb Pogudin
:
Degree bound for toric envelope of a linear algebraic group. - Amir H. Omidvarnia, Mostefa Mesbah, Mangor Pedersen, Graeme D. Jackson:
Range entropy: A bridge between signal complexity and self-similarity. - Berk Ustun, Alexander Spangher, Yang Liu:
Actionable Recourse in Linear Classification. - Pei Wu, David Bryant, Paul F. Tupper:
Negative type diversities, a multi-dimensional analogue of negative type metrics. - Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. - Izumi Karino, Kazutoshi Tanaka, Ryuma Niiyama, Yasuo Kuniyoshi:
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning. - Sina Salek, Daniel Ebler, Giulio Chiribella:
Quantum communication in a superposition of causal orders. - Sergey Iakovlev, Robin J. Evans, Iven Mareels:
Low-Voltage Distribution Network Impedances Identification Based on Smart Meter Data. - Jinjin Gu
, Guolong Liu, Gaoqi Liang, Junhua Zhao:
Super-Resolution Perception for Industrial Sensor Data. - Maolin Shi, Xueguan Song, Wei Sun:
Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods. - Luis Alfredo Moctezuma, Marta Molinas:
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD. - Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Structural Target Controllability of Undirected Networks. - Wei-Kuo Chen, Madeline Handschy, Gilad Lerman:
Phase transition in random tensors with multiple spikes. - Longting Xu, Rohan Kumar Das, Emre Yilmaz, Jichen Yang, Haizhou Li:
Generative x-vectors for text-independent speaker verification. - Helen L. Bear:
Visual Speech Language Models. - Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes:
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. - Igor G. Vladimirov, Ian R. Petersen, Matthew R. James:
Parametric randomization, complex symplectic factorizations, and quadratic-exponential functionals for Gaussian quantum states. - Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis:
Predictive Collective Variable Discovery with Deep Bayesian Models. - Uriel Feige, David Gamarnik, Joe Neeman, Miklós Z. Rácz, Prasad Tetali:
Finding cliques using few probes. - Nontawat Charoenphakdee, Masashi Sugiyama:
Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error. - Rodrigo Aldana-Lopez, David Gómez-Gutiérrez, Esteban Jiménez-Rodríguez, Juan Diego Sánchez-Torres
, Michael Defoort:
On the least upper bound for the settling time of a class of fixed-time stable systems. - Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon:
Dynamical Optimal Transport on Discrete Surfaces. - Kirubin Pillay, Maarten De Vos:
A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age. - Young-Jin Park, Han-Lim Choi:
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics. - Boyan Xu, Christopher J. Tralie, Alice Antia, Michael Lin, Jose A. Perea:
Twisty Takens: A Geometric Characterization of Good Observations on Dense Trajectories. - Patrick R. Johnstone, Jonathan Eckstein:
Projective Splitting with Forward Steps only Requires Continuity. - Kyong Hwan Jin, Gain Kim, Yusuf Leblebici, Jong Chul Ye, Michael Unser:
Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. - Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. - Sreejith Kallummil, Sheetal Kalyani:
Noise Statistics Oblivious GARD For Robust Regression With Sparse Outliers. - Rafael Attili Chiea, Márcio Holsbach Costa, Guillaume Barrault:
New insights on the optimality of parameterized wiener filters for speech enhancement applications. - Jessica Hwang, Paulo Orenstein, Karl Pfeiffer, Judah Cohen, Lester Mackey:
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. - Stefan C. Schonsheck, Michael M. Bronstein, Rongjie Lai:
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit. - Samuel B. Hopkins:
Sub-Gaussian Mean Estimation in Polynomial Time. - Michael Gauding, Lipo Wang, Jens Henrik Göbbert, Mathis Bode, Luminita Danaila, Emilien Varea:
On the self-similarity of line segments in decaying homogeneous isotropic turbulence. - Sanjaye Ramgoolam:
Permutation Invariant Gaussian Matrix Models. - Ali Özcan, Stefan Kollmannsberger, John N. Jomo, Ernst Rank:
Residual stresses in metal deposition modeling: discretizations of higher order. - Marco Alberto Javarone, Craig Steven Wright:
Modeling a Double-Spending Detection System for the Bitcoin Network. - Christian Lins, Andreas Klausen, Sandra Hellmers, Daniel Eckhoff, Andreas Hein, Sebastian J. F. Fudickar:
Cardiopulmonary Resuscitation Quality Parameters from Inertial Sensor Data using Differential Evolution Fitting of Sinusoids. - Mu Yang, Zheng-Hao Liu, Ze-Di Cheng, Jin-Shi Xu, Chuan-Feng Li, Guang-Can Guo:
Deep Hybrid Scattering Image Learning. - Shing Chan, Ahmed H. Elsheikh:
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks. - Brian Lucena:
Spline-Based Probability Calibration. - Alicja Gosiewska, Przemyslaw Biecek:
auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic. - Christopher T. Chubb, Marco Tomamichel, Kamil Korzekwa:
Moderate deviation analysis of majorisation-based resource interconversion. - Jayaraman J. Thiagarajan, Deepta Rajan, Prasanna Sattigeri:
Can Deep Clinical Models Handle Real-World Domain Shifts? - Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska:
Inferring short-term volatility indicators from Bitcoin blockchain. - Dena Firoozi, Peter E. Caines, Sebastian Jaimungal:
Mean Field Game Systems with Common Noise and Markovian Latent Processes. - Vincent Pacelli, Anirudha Majumdar:
Task-Driven Estimation and Control via Information Bottlenecks. - Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of the Stochastic Linear Feedback Particle Filter. - Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman
, Justin Solomon:
Total Variation Isoperimetric Profiles. - Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities. - Yongsoo Hwang, Byung-Soo Choi:
Hierarchical System Mapping for Large-Scale Fault-Tolerant Quantum Computing. - Danilo Guerrera, Rubén M. Cabezón
, Jean-Guillaume Piccinali, Aurélien Cavelan, Florina M. Ciorba
, David Imbert, Lucio Mayer, Darren S. Reed:
Towards a Mini-App for Smoothed Particle Hydrodynamics at Exascale. - Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - why the Bayesian brain may need no noise. - Ville Salo:
Universal gates with wires in a row. - James H. Davenport, Bjorn Poonen, James Maynard, Harald Helfgott, Pham Huu Tiep, Luís Cruz-Filipe:
Machine-Assisted Proofs (ICM 2018 Panel). - Peter Benner, Christian Himpe
:
Cross-Gramian-Based Dominant Subspaces. - Étienne Bamas, Louis Esperet:
Distributed coloring of graphs with an optimal number of colors. - Keiichi Kisamori, Keisuke Yamazaki:
Intractable Likelihood Regression for Covariate Shift by Kernel Mean Embedding. - Xiongfeng Yan, Tinghua Ai:
Analysis of Irregular Spatial Data with Machine Learning: Classification of Building Patterns with a Graph Convolutional Neural Network. - Roberto Rojas-Cessa, Chuan-Kuo Wong, Zhengqi Jiang, Haard Shah, Haim Grebel, Ahmed A. Mohamed:
An Energy Packet Switch for Digital Power Grids. - Katherine N. Quinn, Heather Wilber, Alex Townsend, James P. Sethna:
Chebyshev approximation and the global geometry of sloppy models. - Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Alejandro Alcaine, Rafael Sebastián, Sophie Giffard-Roisin, Maxime Sermesant, Antonio Berruezo, Damian Sánchez-Quintana, Oscar Camara:
A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. - Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul F. Christiano, Ian J. Goodfellow:
Unrestricted Adversarial Examples. - Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. - Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi:
A convex program for bilinear inversion of sparse vectors. - Reza Katebi, Yadi Zhou, Ryan Chornock
, Razvan C. Bunescu:
Galaxy morphology prediction using capsule networks. - Junfeng Jiang, Jiahao Li:
Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing. - Rongrong Xie, Shengfeng Deng, Weibing Deng, Armen E. Allahverdyan:
Active image restoration. - Kuan Tung, Po-Kang Liu, Yu-Chuan Chuang, Sheng-Hui Wang, An-Yeu Wu:
Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals. - Kevin M. Byrnes:
Further Results on Circuit Codes. - Justus T. C. Schwabedal, Daniel Sippel, Moritz D. Brandt, Stephan Bialonski:
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning. - Yérali Gandica:
Population preferences through Wikipedia edits. - Sham M. Kakade, Jason D. Lee:
Provably Correct Automatic Subdifferentiation for Qualified Programs. - Shoubo Hu, Zhitang Chen, Laiwan Chan:
A Kernel Embedding-based Approach for Nonstationary Causal Model Inference. - Jordi de La Torre, Aïda Valls, Domenec Puig, Pere Romero-Aroca
:
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier. - Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng:
Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. - Nicolas Loizou, Peter Richtárik
:
Accelerated Gossip via Stochastic Heavy Ball Method. - Jonatan Ostrometzky, Hagit Messer:
On the Information in Extreme Measurements for Parameter Estimation. - Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev:
Second-order Guarantees of Distributed Gradient Algorithms. - Ernesto De Vito, Zeljko Kereta, Valeria Naumova:
A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net. - Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu:
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. - Akhil Sundararajan, Bryan Van Scoy, Laurent Lessard:
A Canonical Form for First-Order Distributed Optimization Algorithms. - Alexander Stec, Diego Klabjan, Jean Utke:
Unified recurrent neural network for many feature types. - Ancil Crayton:
Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization. - Saber Jafarpour, Elizabeth Y. Huang, Francesco Bullo:
Synchronization of Kuramoto Oscillators: Inverse Taylor Expansions. - Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen:
Streaming dynamic and distributed inference of latent geometric structures. - Saman Cyrus
, Laurent Lessard:
Unified Necessary and Sufficient Conditions for the Robust Stability of Interconnected Sector-Bounded Systems. - Lukasz Kidzinski, Trevor Hastie:
Longitudinal data analysis using matrix completion. - Safa C. Medin, John Murray-Bruce, David Castanon, Vivek K. Goyal:
Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation. - Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth:
Orthogonally Decoupled Variational Gaussian Processes. - Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani:
Wasserstein Distributionally Robust Kalman Filtering. - Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak:
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. - Adeline Decuyper, Yérali Gandica, Christophe Cloquet, Isabelle Thomas, Jean-Charles Delvenne:
Measuring the effect of node aggregation on community detection. - Adrien Baudier, François Fages, Sylvain Soliman
:
Graphical Requirements for Multistationarity in Reaction Networks and their Verification in BioModels. - Vincent Astier, Thomas Unger:
Galois extensions, positive involutions and an application to unitary space-time coding. - Kailiang Wu, Dongbin Xiu:
Numerical Aspects for Approximating Governing Equations Using Data. - Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters:
From Audio to Semantics: Approaches to end-to-end spoken language understanding. - Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. - Edgard Muñoz-Coreas, Himanshu Thapliyal:
T-count Optimized Quantum Circuits for Bilinear Interpolation. - Guanghui Lan, Yi Zhou:
Asynchronous decentralized accelerated stochastic gradient descent. - Luca de Alfaro:
Neural Networks with Structural Resistance to Adversarial Attacks. - Ioannis D. Schizas:
Graph filtering for data reduction and reconstruction. - Jose A. Perea:
Sparse Circular Coordinates via Principal ℤ-Bundles. - Patrick J. Andersen, Charl J. Ras:
Algorithms for Euclidean Degree Bounded Spanning Tree Problems. - Mario Geiger, Stefano Spigler, Stéphane d'Ascoli
, Levent Sagun, Marco Baity-Jesi, Giulio Biroli, Matthieu Wyart:
The jamming transition as a paradigm to understand the loss landscape of deep neural networks. - Edgar Steiger
, Martin Vingron:
Sparse-Group Bayesian Feature Selection Using Expectation Propagation for Signal Recovery and Network Reconstruction. - Yousra El-Bachir, Anthony C. Davison:
Fast Automatic Smoothing for Generalized Additive Models. - Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl:
Hessian barrier algorithms for linearly constrained optimization problems. - Jie Fan:
A family of neighborhood contingency logics. - Péter Gács, Ilkka Törmä:
Stable Multi-Level Monotonic Eroders. - Jonathan H. Huggins, Trevor Campbell, Mikolaj Kasprzak, Tamara Broderick:
Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach. - Nataliia M. Kiianovska, N. V. Rashevska, Serhiy O. Semerikov:
The theoretical and methodical foundations of usage of information and communication technologies in teaching higher mathematics engineering students in universities of the United States. - Alex Chin, Dean Eckles, Johan Ugander:
Evaluating stochastic seeding strategies in networks. - Xin Wang, Mark M. Wilde:
Exact entanglement cost of quantum states and channels under PPT-preserving operations. - Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun:
RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions. - Audrey M. B. Wong-Kee-You, John K. Tsotsos, Scott A. Adler:
Development of spatial suppression surrounding the focus of visual attention. - Fernando A. Morales, Carlos A. Osorio, Daniel Cabarcas J:
A big data based method for pass rates optimization in mathematics university lower division courses. - Himanshu Thapliyal, Edgard Muñoz-Coreas, T. S. S. Varun, Travis S. Humble:
Quantum Circuit Designs of Integer Division Optimizing T-count and T-depth. - Cheng Peng, Masayoshi Tomizuka:
Bayesian Persuasive Driving. - James Murphy, Yuanyuan Pao:
Map matching when the map is wrong: Efficient vehicle tracking on- and off-road for map learning. - Rabindra Lamsal
, Ayesha Choudhary:
Predicting Outcome of Indian Premier League (IPL) Matches Using Classification Based Machine Learning Algorithm. - Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient. - Josep Díaz, Colin McDiarmid, Dieter Mitsche:
Learning random points from geometric graphs or orderings. - Max H. Farrell, Tengyuan Liang, Sanjog Misra:
Deep Neural Networks for Estimation and Inference: Application to Causal Effects and Other Semiparametric Estimands. - Nikolai Dokuchaev:
On recovery of signals with single point spectrum degeneracy. - Tian-tian Li, Bo Wang, Min Zhou, Junzo Watada:
Short-term load forecasting using optimized LSTM networks based on EMD. - Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio G. Blasi, Farzad Toutounchi, Athanasios Mouchtaris, Panagiotis Tsakalides, Marta Mrak, Ebroul Izquierdo:
Convolutional Neural Networks for Video Quality Assessment. - Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht:
Safely Learning to Control the Constrained Linear Quadratic Regulator. - Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard:
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering. - Dawei Ding, Hrant Gharibyan, Patrick Hayden, Michael Walter:
A Quantum Multiparty Packing Lemma and the Relay Channel. - Shashank Jaiswal, Alina A. Alexeenko, Jingwei Hu:
A Discontinuous Galerkin Fast Spectral Method for the Full Boltzmann Equation with General Collision Kernels. - Guang Yang, Cun Mu:
A Machine Learning Approach to Shipping Box Design. - Xi-Lin Li:
Learning Preconditioners on Lie Groups. - Tim Austin:
Measures of correlation and mixtures of product measures. - Kevin Schlegel
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When is there a Representer Theorem? Reflexive Banach spaces. - Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka:
WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks. - Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson:
On some variance reduction properties of the reparameterization trick. - Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm:
Deep Graph Infomax. - Kazuhiro Suzuki:
(g, f)-Chromatic spanning trees and forests. - Andrew K. Lampinen, Surya Ganguli:
An analytic theory of generalization dynamics and transfer learning in deep linear networks. - Alberto Espuny Díaz, Oriol Serra:
Entropy versions of additive inequalities. - David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert:
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front - Extended Version. - Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge:
A rotation-equivariant convolutional neural network model of primary visual cortex. - Sergey A. Smirnov, Vladimir V. Voloshinov:
Packing of Circles on Square Flat Torus as Global Optimization of Mixed Integer Nonlinear problem. - Chao Wang
, Robert J. Plemmons, Sudhakar Prasad, Raymond H. Chan, Mila Nikolova:
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery. - Dian Wu, Lei Wang, Pan Zhang:
Solving Statistical Mechanics using Variational Autoregressive Networks. - Zexian Zeng, Andy H. Vo, Chengsheng Mao, Susan E. Clare, Seema A. Khan, Yuan Luo:
Cancer classification and pathway discovery using non-negative matrix factorization. - Chitta Ranjan, Markku Mustonen, Kamran Paynabar, Karim Pourak:
Dataset: Rare Event Classification in Multivariate Time Series. - Emil Jerábek:
Induction rules in bounded arithmetic. - Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood:
An Introduction to Probabilistic Programming. - Ahad N. Zehmakan:
Two Phase Transitions in Two-way Bootstrap Percolation. - Pavel Chebotarev, Yana Yu. Tsodikova, Anton K. Loginov, Zoya M. Lezina, Vadim A. Afonkin, Vitaly A. Malyshev:
Comparative Efficiency of Altruism and Egoism as Voting Strategies in Stochastic Environment. - Timur Takhtaganov, Juliane Müller:
Adaptive Gaussian process surrogates for Bayesian inference. - Christiane Görgen, Manuele Leonelli:
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions. - Wenbo Wang, Xingye Qiao:
Learning Confidence Sets using Support Vector Machines. - Stephen Tu, Ross Boczar, Benjamin Recht:
Minimax Lower Bounds for ℋ∞-Norm Estimation. - Jiange Li:
Large deviations for conditional guesswork. - Alberto Testolin, Michele Piccolini, Samir Suweis:
Deep learning systems as complex networks. - Bentolhoda Binaei, Amir Hashemi, Werner M. Seiler:
A Pommaret Bases Approach to the Degree of a Polynomial Ideal. - Bentolhoda Binaei, Amir Hashemi, Werner M. Seiler:
Computation of Pommaret Bases Using Syzygies. - James Holehouse, Richard A. Blythe:
Cross-situational learning of large lexicons with finite memory. - Stefan Klus, Andreas Bittracher, Ingmar Schuster, Christof Schütte:
A kernel-based approach to molecular conformation analysis. - Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh:
Duality between source coding with quantum side information and c-q channel coding. - Madalin Guta, Jonas Kahn, Richard Kueng, Joel A. Tropp:
Fast state tomography with optimal error bounds. - Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
Efficiently testing local optimality and escaping saddles for ReLU networks. - Arnulf Jentzen, Diyora Salimova, Timo Welti:
A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients. - Marcelo A. Pires, Silvio M. Duarte Queiros:
Optimal diffusion in ecological dynamics with Allee effect in a metapopulation. - Hye Won Chung, Ji Oon Lee:
Weak detection in the spiked Wigner model. - Mark J. van der Laan, Ivana Malenica:
Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series. - Kai Siong Yow, Kerri Morgan, Graham Farr:
Factorisation of Greedoid Polynomials of Rooted Digraphs.
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