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ORCID2nd AIMLSystems 2022: Bangalore, India
- Proceedings of the Second International Conference on AI-ML Systems, AIMLSystems 2022, Bangalore, India, October 12-15, 2022. ACM 2022, ISBN 978-1-4503-9847-3
- Serene Banerjee
, Joy Bose, Sleeba Paul Puthepurakel, Pratyush Kiran Uppuluri, Subhadip Bandyopadhyay, Y. Sree Kanth Reddy, Ranjani H. G.:
Link-Adaptation for Improved Quality-of-Service in V2V Communication using Reinforcement Learning. 1:1-1:7 - Sanjaya M. V, Madhav Rao:
An hardware accelerator design of Mobile-Net model on FPGA. 2:1-2:9 - Kshitij Garg, Ajay Narayanan, Prasant Misra, Arunchandar Vasan, Vivek Bandhu, Debarupa Das:
A Hybrid Planning System for Smart Charging of Electric Fleets. 3:1-3:9 - Saurabh Sharma, Faizan Ahemad:
Unposed: Unsupervised Pose Estimation based Product Image Recommendations. 4:1-4:8 - Faizan Ahemad:
Efficient Graph based Recommender System with Weighted Averaging of Messages. 5:1-5:10 - Vinayaka Kamath, Eva Sinclair, Damon Gilkerson, Venkat N. Padmanabhan, Sreangsu Acharyya:
Modeling Email Server I/O Events As Multi-temporal Point Processes. 6:1-6:9 - Yash Jain, Vishu Saxena, Sparsh Mittal:
Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images. 7:1-7:9 - Harsh Verma, Vivek Ashok Bohara, Anubha Gupta:
DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction. 8:1-8:6 - Imlijungla Longchar, Amey Varhade, Chetan Ingle, Saurabh Baranwal, Hemangee K. Kapoor:
CluSpa: Computation Reduction in CNN Inference by exploiting Clustering and Sparsity. 9:1-9:8 - Jeet Dutta, Swarnava Dey, Arijit Mukherjee, Arpan Pal:
Acceleration-aware, Retraining-free Evolutionary Pruning for Automated Fitment of Deep Learning Models on Edge Devices. 10:1-10:10 - Chinmay Mahajan, Ashwin Krishnan, Manoj Nambiar, Rekha Singhal:
Hetero-Rec: Optimal Deployment of Embeddings for High-Speed Recommendations. 11:1-11:9 - Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. 12:1-12:9 - Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa:
RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection. 13:1-13:9 - Hari Narayan N. U, Manjesh Kumar Hanawal, Avinash Bhardwaj:
Unsupervised Early Exit in DNNs with Multiple Exits. 14:1-14:9 - Sri Charan Kattamuru, Kshitij Agrawal, Abhishek Bose, Shyam Prasad Adhikari, Hemant Misra:
Patch-wise Features for Blur Image Classification. 15:1-15:7 - Kiran Purohit, Anurag Parvathgari, Soumi Das, Sourangshu Bhattacharya:
Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. 16:1-16:8 - Siva Mouni Nemalidinne, Pavan Kumar Reddy Manne, Abhinav Kumar, Prabhat Kumar Upadhyay:
DNN based Adaptive User Pairing and Power Allocation to achieve α-Fairness in NOMA Systems with Imperfections in SIC. 17:1-17:5 - Kavya Borra, Ashwin Krishnan, Harshad Khadilkar, Manoj Nambiar, Ansuma Basumatary, Rekha Singhal, Arijit Mukherjee:
Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. 18:1-18:7 - Arijit Mukherjee, Swarnava Dey:
Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices. 19:1-19:8 - Piyush Manavar, Sharyu Vijay Mukhekar, Manoj Nambiar:
Performance Evaluation of gcForest inferencing on multi-core CPU and FPGA. 20:1-20:7 - Anirban I Ghosh, Radhika Sharma, Karan Goyal, Balakarthikeyan Rajan, Senthil Mani:
Health Assurance: AI Model Monitoring Platform. 21:1-21:7 - Dhruv Patel, Shrey Pandey, Abhishek Sharma:
Efficient Vector Store System for Python using Shared Memory. 22:1-22:6 - Yaswanth Reddy, Sumanth Sadu, Abhinav Ganesan, Jose Mathew:
Address Location Correction System for Q-commerce. 23:1-23:7 - Takao Nakagawa, Kenichiro Narita, Kyoung-Sook Kim:
How Provenance helps Quality Assurance Activities in AI/ML Systems. 24:1-24:9 - Hemant Rathore, Mohit Sewak:
Malware Analysis and Detection. 25:1-25:2 - Sujoy Roychowdhury, Serene Banerjee, Ranjani H. G, Chaitanya Kapoor:
Identification of Causal Dependencies in Multivariate Time Series. 26:1-26:3 - Arijit Mukherjee, Arijit Ukil, Swarnava Dey, Gitesh Kulkarni:
TinyML Techniques for running Machine Learning models on Edge Devices. 27:1-27:2 - Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth:
Tutorial: Neuro-symbolic AI for Mental Healthcare. 28:1-28:3 - Rajeev Gupta, Ranganath Kondapally:
Large-Scale Entity Extraction from Enterprise Data. 29:1-29:2
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