U.S. Patent Towards Building efficient Routed systems for Retrieval Ramnath Kumar, Prateek Jain, and Cho-Jui Hsieh. U.S. Patent, 2025. Preprint will be released shortly...
TMLR Workshop 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 End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval (EHI) Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, and Prateek Jain. arXiv preprint 2023 PDF
TMLR Workshop Blog Coverage Look Back When Surprised- Stabilizing Reverse Experience Replay for Neural Approximation Ramnath Kumar and Dheeraj Nagaraj. Transactions on Machine Learning Research 2024 PDF Code Google AI Blog Coverage
AAAI Oral Workshop Blog Coverage The Effect of diversity in Meta-Learning Ramnath Kumar, Tristan Deleu and Yoshua Bengio. 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
AMLC Stochastic Insight into Neural Networks Ramnath Kumar and Gokul Swamy. Amazon Machine Learning Conference 2021 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. World Web Conference 2020 PDF Code
IEEE Temporal Dynamics and Spatial Content in IoT Malware detection Ramnath Kumar and G Geethakumari. IEEE Tencon 2019 PDF Code