Ramnath Kumar – Student of Nature.

^* Indicates that the authors contributed equally to this work.

2024

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

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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

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TMLR Blog Coverage

Introspective Experience Replay: Look Back When Surprised

Ramnath Kumar and Dheeraj Nagaraj.

Transactions on Machine Learning Research, 2024

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2023

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

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2022

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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2020

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

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2019

IEEE

Temporal Dynamics and Spatial Content in IoT Malware detection

Ramnath Kumar and G Geethakumari.

IEEE Tencon, 2019

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