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ResMem: Learn what you can and memorize the rest


Feb 03, 2023
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

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On student-teacher deviations in distillation: does it pay to disobey?


Jan 30, 2023
Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

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Explaining generalization in deep learning: progress and fundamental limits


Oct 17, 2021
Vaishnavh Nagarajan

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* arXiv admin note: text overlap with arXiv:1902.04742 

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Assessing Generalization of SGD via Disagreement


Jun 25, 2021
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter

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A Learning Theoretic Perspective on Local Explainability


Nov 02, 2020
Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar

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Understanding the Failure Modes of Out-of-Distribution Generalization


Oct 29, 2020
Vaishnavh Nagarajan, Anders Andreassen, Behnam Neyshabur

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Provably Safe PAC-MDP Exploration Using Analogies


Jul 07, 2020
Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter

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* 9 pages, 3 figures 

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Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience


May 30, 2019
Vaishnavh Nagarajan, J. Zico Kolter

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* Published as a conference paper at ICLR 2019 

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Uniform convergence may be unable to explain generalization in deep learning


Apr 02, 2019
Vaishnavh Nagarajan, J. Zico Kolter

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