Kumar, Ramnath

8 publications

TMLR 2024 EHI: End-to-End Learning of Hierarchical Index for Efficient Dense Retrieval Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S Dhillon, Prateek Jain

TMLR 2024 Introspective Experience Replay: Look Back When Surprised Ramnath Kumar, Dheeraj Mysore Nagaraj

TMLR 2024 Stochastic Re-Weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar, Kushal Alpesh Majmundar, Dheeraj Mysore Nagaraj, Arun Suggala

ICLRW 2023 Max-Margin Inspired Per-Sample Re-Weighting for Robust Deep Learning Ramnath Kumar, Kushal Alpesh Majmundar, Dheeraj Mysore Nagaraj, Arun Suggala

AAAI 2023 The Effect of Diversity in Meta-Learning Ramnath Kumar, Tristan Deleu, Yoshua Bengio

NeurIPSW 2022 Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation Ramnath Kumar, Dheeraj Mysore Nagaraj

NeurIPSW 2022 Rethinking Learning Dynamics in RL Using Adversarial Networks Ramnath Kumar, Tristan Deleu, Yoshua Bengio

NeurIPSW 2021 Effect of Diversity in Meta-Learning Ramnath Kumar, Tristan Deleu, Yoshua Bengio