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Ramnath Kumar
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2020 – today
- 2024
- [j1]Ramnath Kumar, Dheeraj Mysore Nagaraj:
Introspective Experience Replay: Look Back When Surprised. Trans. Mach. Learn. Res. 2024 (2024) - [i6]Jordi Armengol-Estapé, Vincent Michalski, Ramnath Kumar, Pierre-Luc St-Charles, Doina Precup, Samira Ebrahimi Kahou:
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization. CoRR abs/2405.18751 (2024) - 2023
- [c3]Ramnath Kumar, Tristan Deleu, Yoshua Bengio:
The Effect of Diversity in Meta-Learning. AAAI 2023: 8396-8404 - [i5]Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, Arun Sai Suggala:
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization. CoRR abs/2306.09222 (2023) - [i4]Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain:
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. CoRR abs/2310.08891 (2023) - 2022
- [i3]Ramnath Kumar, Tristan Deleu, Yoshua Bengio:
The Effect of Diversity in Meta-Learning. CoRR abs/2201.11775 (2022) - [i2]Ramnath Kumar, Tristan Deleu, Yoshua Bengio:
Rethinking Learning Dynamics in RL using Adversarial Networks. CoRR abs/2201.11783 (2022) - [i1]Ramnath Kumar, Dheeraj Nagaraj:
Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation. CoRR abs/2206.03171 (2022) - 2020
- [c2]Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte
, Francois R. Lamy
eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. WWW 2020: 1955-1965
2010 – 2019
- 2019
- [c1]Ramnath Kumar, G. Geethakumari:
Temporal Dynamics and Spatial Content in IoT Malware detection. TENCON 2019: 1590-1595
Coauthor Index
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