TMLR Blog Coverage Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, and Arun Sai Suggala. Transactions on Machine Learning Research, 2024 PDF Google AI Blog Coverage
TMLR EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, and Prateek Jain. Transactions on Machine Learning Research, 2024 PDF
TMLR Blog Coverage Introspective Experience Replay: Look Back When Surprised Ramnath Kumar and Dheeraj Nagaraj. Transactions on Machine Learning Research, 2024 PDF Code Google AI Blog Coverage
AAAI Oral Blog Coverage The Effect of diversity in Meta-Learning Ramnath Kumar, Tristan Deleu and Yoshua Bengio. Association for the Advancement of Artificial Intelligence (AAAI), 2023 PDF Code Synched Review Blog Coverage
Workshop Rethinking Learning Dynamics in RL using Adversarial Networks Ramnath Kumar, Tristan Deleu and Yoshua Bengio. NeurIPS Workshop on DeepRL, 2022 PDF Code
WWW eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois Lamy, Krishnaprasad Thirunarayan, Usha Lokala, and Amit Sheth. The Web Conference (WWW), 2020 PDF Code
IEEE Temporal Dynamics and Spatial Content in IoT Malware detection Ramnath Kumar and G Geethakumari. IEEE Tencon, 2019 PDF Code