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Ramnath Kumar
Ramnath Kumar
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edarkfind: Unsupervised multi-view learning for sybil account detection
R Kumar, S Yadav, R Daniulaityte, F Lamy, K Thirunarayan, U Lokala, ...
Proceedings of The Web Conference 2020, 1955-1965, 2020
222020
Stochastic re-weighted gradient descent via distributionally robust optimization
R Kumar, K Majmundar, D Nagaraj, AS Suggala
arXiv preprint arXiv:2306.09222, 2023
8*2023
The Effect of Diversity in Meta-Learning
R Kumar, T Deleu, Y Bengio
AAAI 23 (Oral), 2022
42022
Temporal Dynamics and Spatial Content in IoT Malware detection
R Kumar, G Geethakumari
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 1590-1595, 2019
22019
Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation
R Kumar, D Nagaraj
NeurIPS Workshop on DeepRL (2022), 2022
12022
Rethinking learning dynamics in rl using adversarial networks
R Kumar, T Deleu, Y Bengio
NeurIPS Workshop on DeepRL (2022), 2022
12022
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
R Kumar, A Mittal, N Gupta, A Kusupati, I Dhillon, P Jain
arXiv preprint arXiv:2310.08891, 2023
2023
Stochastic Insight into Neural Networks
R Kumar, G Swamy
Amazon Machine Learning Conference (AMLC), 2021
2021
Advanced Malware detection with Inception V3 for Enhanced Computer Security
RA Kumar, JB Shriram
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Articles 1–9