Ramnath Kumar

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, NeurIPS Workshop on DeepRL 2022

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Preprint

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

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Workshop Blog Coverage

Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization

Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, and Arun Sai Suggala.

ICLR 2023 Workshop on Pitfalls of limited data and computation for Trustworthy ML

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AAAI Oral Workshop Blog Coverage

The Effect of diversity in Meta-Learning

Ramnath Kumar, Tristan Deleu and Yoshua Bengio.

AAAI 2023, Workshop on Meta-Learning, NeurIPS 2021

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Workshop

Rethinking Learning Dynamics in RL using Adversarial Networks

Ramnath Kumar, Tristan Deleu and Yoshua Bengio.

NeurIPS Workshop on DeepRL 2022

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AMLC

Stochastic Insight into Neural Networks

Ramnath Kumar and Gokul Swamy.

Amazon Machine Learning Conference 2021

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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

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IEEE

Temporal Dynamics and Spatial Content in IoT Malware detection

Ramnath Kumar and G Geethakumari.

IEEE Tencon 2019

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