Technical Program

Thursday, 13 October 2022

T1-1: Network Pruning

  • 12:10 PM - 12:35 PM: Acceleration-aware, Retraining-free Evolutionary Pruning for Automated Fitment of Deep Learning Models on Edge Devices
    Speakers: Jeet Dutta (TCS Research); Arijit Mukherjee (TCS Research)*; Swarnava Dey (TCS Research, Tata Consultancy Services Ltd.); Arpan Pal (Tata Consultancy Services)
  • 12:35 PM - 01:00 PM: Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit
    Spreakers: Kiran Purohit (IIT Kharagpur)*; Anurag Parvathgari (IIT Kharagpur); Soumi Das (Indian Institute of Technology, Kharagpur); Sourangshu Bhattacharya (IIT Kharagpur)


Thursday, 13 October 2022

T1-2: Novel ML Applications

  • 02:40 PM - 03:05 PM: A Hybrid Planning System for Smart Charging of Electric Fleets
    Speaker: Kshitij Garg (TCS Research); Ajay Narayanan (TCS Research); Prasant Misra (TCS Research)*; Arunchandar Vasan (TCS Research); Vivek Bandhu (TCS); Debarupa Das (TCS)
  • 03:05 PM - 03:30 PM: Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images
    Speaker: Yash Jain (Indian Institute of Technology Roorkee)*; Vishu Saxena (Indian Institute of Technology Roorkee); Sparsh Mittal (IIT Roorkee)
  • 03:30 PM - 03:55 PM: Efficient Graph based Recommender System with Weighted Averaging of Messages
    Speaker: Faizan Ahemad (Amazon India)*


Thursday, 13 October 2022

D2-1:

  • 11:30 AM - 11:40 AM: COSWARA: A Web Application for Data Collection and Real-time Screening of SARS-CoV-2 Infected Subjects (In-person)
    Speakers: Debarpan Bhattacharya, Neeraj Sharma, Srikanth Raj Chetupalli, Sriram Ganapathy (Indian Institute of Science)
  • 11:40 AM - 11:50 PM: vaAnI - an AI-powered voice-enabled search engine for the visually-challenged community (In-person)
    Speaker: Shirsha Ray Chaudhuri, Prudhvi Nokku, Thomson Reuters
  • 11:50 AM - 12:00 PM: Flexible AutoML: Accelerating AutoML adoption across Amazon (In-person)
    Speakers: Abhishek Divekar, Gaurav Manchanda (Amazon)
  • 12:00 PM - 12:10 PM: Automating NLP workflows using AutoML NLP (In-person)
    Speakers: Shipra Jain, Chandra Sekhar Gupta Aravapalli (Microsoft R&D India Pvt Ltd)
  • 12:10 PM - 12:20 PM: MLOps with enhanced performance control and observability (In-person)
    Speakers: Indradumna Banerjee, Dinesh Mr Ghanta, Prateek Katageri, Girish Nautiyal, Pradeep Sanchana, Atin Modi (Oracle)
  • 12:20 PM - 12:30 PM: We Built a Wall, for the Better (Running Online ML Experiments at Scale) (Virtual)
    Speakers: Shahram Anver, Krithika Sundararajan (Gojek)


Thursday, 13 October 2022

D2-2:

  • 2:10 PM - 2:20 PM: EEG Data Visualisation for Blinking Eyes(In-person)
    Speaker: Darshil Shah (MINRO)
  • 2:20 PM - 2:30 PM: Sahasraaksha: Video analytics for smart campus surveillance. (In-person)
    Speaker: Sriram G (MINRO)
  • 2:30 PM - 2:40 PM: FlAi MLOps (In-person)
    Speaker: Alurkar, Ruju N (FlAI)
  • 2:40 PM - 2:50 PM: Building Reusable AI Systems (In-person)
    Speaker: Vikas Raturi (Intuit)
  • 2:50 PM - 3:00 PM: Recommendation system for ML model deployment (Virtual)
    Speakers: John Barboza, Mohan Gandhi (Amazon)


Friday, 14 October 2022

T2-1: Probabilistic Learning Systems

  • 12:10 PM - 12:35 PM: RIDEN: uniform density histogram via reference instance discriminator with entropy maximization for distribution shift detection
    Speakers: Kei Yonekawa (KDDI Research, Inc.)*; Kazuhiro Saito (KDDI Research, Inc.); Mori Kurokawa (KDDI Research, Inc.)
  • 12:35 PM - 01:00 PM: DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction
    Spreakers: Harsh Verma (IIIT Delhi)*; Vivek Bohara (IIIT Delhi); Anubha Gupta (IIIT Delhi)


Friday, 14 October 2022

T2-2: Real-time ML Systems

  • 02:40 PM - 03:05 PM: Hetero-Rec: Optimal Deployment of Embeddings for High-Speed Recommendations
    Speakers: Chinmay N Mahajan (TCS); Ashwin Krishnan (TCS Research)*; Manoj Nambiar (TCS); Rekha Singhal (TCS)
  • 03:05 PM - 03:30 PM: System Design for an Integrated Lifelong Reinforcement Learning Agent For Real-Time Strategy Games
    Speakers: Indranil Sur (SRI International )*; Zachary A Daniels (SRI International); Aswin Raghavan (SRI International); Jesse Hostetler (SRI International); Abrar Rahman (SRI International); Michael R Piacentino (SRI International); Ajay Divakaran (SRI, USA); Roberto Corizzo (American University); Kamil Faber (AGH University of Science and Technology); Nathalie Japkowicz (American University); Michael Baron (); James S Smith (Georgia Institute of Technology); Sahana Joshi (Georgia Tech); Zsolt Kira (Georgia Institute of Technology); Tyler L Hayes (RIT); Christopher Kanan (University of Rochester); Gianmarco J Gallardo (RIT)


Friday, 14 October 2022

D3-2:

  • 11:30 AM - 11:50 AM: Invited Talk 1- Through the Looking Glass
    Speaker: Amit Saha, Principal Engineer, Cisco Meraki, Bangalore
  • 11:50 AM - 12:10 PM: Invited Talk 2- Temporal Knowledge Graph Representation and Question Answering
    Speaker: Soumen Chakrabarti, Professor, CSE, IIT Bombay, India
  • 12:10 PM - 1:00 PM: Doctoral Student Talks
    - COSWARA: A Respiratory Acoustics Based Point-of-care-testing Tool for SARS-CoV-2 Infection
    Speakers: Debarpan Bhattacharya*; Neeraj Sharma; Srikanth Raj Chetupalli; Sriram Ganapathy (Indian Institute of Science)
    - Supervised approaches for Language and Speaker Recognition
    Speaker: Shreyas Ramoji*; Sriram Ganapathy (Indian Institute of Science)
    - Representation Learning for Graph Retrieval
    Speaker: Indradyumna Roy (IIT Bombay)*
    - Multiple Novel Intent Detection
    Speaker: Ankan Mullick (IIT Kharagpur)*
    - MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
    Speaker: Ajith Suresh (Technical University of Darmstadt )*
    - Tensor Networks Assisted Quantum Computing for Applications in Machine Learning and Quantum Chemistry
    Speaker: Harshdeep Singh (Indian Institute of Technology, Kharagpur)*
    - LearnDefend: Learning to Defend against Backdoor Attacks on Federated Learning
    Speaker: Kiran Purohit (IIT Kharagpur)*


Friday, 14 October 2022

D3-3:

  • 2:00 PM - 2:20 PM: Invited Talk 3- ML at Amazon: Learnings for Prospective Applied Scientists
    Speaker: Vineet Chaoji, Sr. Applied Science Manager, Amazon
  • 2:20 PM - 3:30 PM: Doctoral Student Talks
    - TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving
    Speaker: Soumi Das (Indian Institute of Technology, Kharagpur)*
    - MeFakE: Fake News Detection on Social Media using a PSO-based and Memory-efficient Deep Neural Network
    Speaker: Dr. Rohit Kumar Kaliyar*; Dr. Anurag Goswami (Bennett University)
    - Reconfigurable Deep Learning Architectures for Wireless Channel Estimation
    Speaker: Syed Asrar ul haq (Indraprastha Institute of Information Technology Delhi)*
    - Intelligent and Reconfigurable Wireless PHY
    Speaker: Neelam Singh (IIITD)*
    - Class Incremental Learning in Plants
    Speaker: Yash Mittal*; Uttam Kumar (IIIT Bangalore)
    - Data-Efficient Class-Incremental Learning
    Speaker: Jayateja Kalla*; Soma Biswas (Indian Institute of Science)
    - Analog Computing Systems and Hybrid-Architectures for Machine Learning at Edge
    Speaker: Pratik Kumar (Indian Institute of Science (IISc))*
    - Self-supervised learning for Speaker Diarization in the context of Conversational Speech
    Speaker: Prachi Singh*; Sriram Ganapathy (Indian Institute of Science)
    - Edge based split-control using ML algorithms in Bilateral Teleoperation of Robots: Design and Analysis
    Speaker: Muneeb Ahmed*; Brejesh Lall Arzad A Kherani (IIT Delhi)
  • 3:30 PM - 4:30 PM: Panel Discussion
    Life after PhD; Data-centric vs Model-centric AI
    Speakers: Amit Saha, Chiranjib Bhattacharyya, Suparna Bhattacharyya, Vineet Chaoji


Saturday, 15 October, 11:30 AM - 01:00 PM

T3-1: Hardware Systems for AI

  • 12:10 PM - 12:35 PM: Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA
    Speaker: Ashwin Krishnan
  • 12:35 PM - 01:00 PM: Performance Evaluation of gcForest inferencing on multi-core CPU and FPGA
    Sharyu Mukhekar


Saturday, 15 October, 02:00 PM - 04:45 PM

T3-2: Software Systems for AI

  • 02:40 PM - 03:05 PM: Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices
    Speaker: Arijit Mukherjee
  • 03:05 PM - 03:30 PM: Health Assurance: AI Model Monitoring Platform
    Speaker: Anirban Ghosh
  • 03:30 PM - 03:55 PM: Efficient Vector Store System for Python using Shared Memory
    Speaker: Dhruv Patel
  • 03:55 PM - 04:20 PM: Address Location Correction System for Q-commerce
    Speaker: Yashwanth Reddy
  • 04:20 PM - 04:45 PM: How Provenance helps Quality Assurance Activities in AI/ML Systems
    Speaker: KS Kim