List of Accepted Submissions for the Doctoral Symposium in AIML Systems 2022
2. Tensor Networks Assisted Quantum Computing for Applications in Machine Learning and Quantum Chemistry
3. LearnDefend: Learning to Defend against Backdoor Attacks on Federated Learning
4. TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving
6. Reconfigurable Deep Learning Architectures for Wireless Channel Estimation
7. Intelligent and Reconfigurable Wireless PHY
8. Class Incremental Learning in Plants
9. Data-Efficient Class-Incremental Learning
10. Analog Computing Systems and Hybrid-Architectures for Machine Learning at Edge
11. Self-supervised learning for Speaker Diarization in the context of Conversational Speech
12. Edge based split-control using ML algorithms in Bilateral Teleoperation of Robots: Design and Analysis
14. Supervised approaches for Language and Speaker Recognition
15. Representation Learning for Graph Retrieval
16. Multiple Novel Intent Detection