Menon, Aditya K

11 publications

NeurIPS 2023 On Student-Teacher Deviations in Distillation: Does It Pay to Disobey? Vaishnavh Nagarajan, Aditya K Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

NeurIPS 2023 ResMem: Learn What You Can and Memorize the REST Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Rawat, Manzil Zaheer, Aditya K Menon, Sanjiv Kumar

NeurIPS 2023 When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya K Menon, Harikrishna Narasimhan, Ankit Rawat, Sanjiv Kumar

NeurIPS 2022 Post-Hoc Estimators for Learning to Defer to an Expert Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya K Menon, Ankit Rawat, Sanjiv Kumar

ICML 2021 A Statistical Perspective on Distillation Aditya K Menon, Ankit Singh Rawat, Sashank Reddi, Seungyeon Kim, Sanjiv Kumar

ICML 2021 Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces Ankit Singh Rawat, Aditya K Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix Yu, Sashank Reddi, Sanjiv Kumar

NeurIPS 2021 Training Over-Parameterized Models with Non-Decomposable Objectives Harikrishna Narasimhan, Aditya K Menon

NeurIPS 2020 Robust Large-Margin Learning in Hyperbolic Space Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya K Menon, Sanjiv Kumar

NeurIPS 2019 Multilabel Reductions: What Is My Loss Optimising? Aditya K Menon, Ankit Singh Rawat, Sashank Reddi, Sanjiv Kumar

NeurIPS 2019 Noise-Tolerant Fair Classification Alex Lamy, Ziyuan Zhong, Aditya K Menon, Nakul Verma

NeurIPS 2017 F-GANs in an Information Geometric Nutshell Richard Nock, Zac Cranko, Aditya K Menon, Lizhen Qu, Robert C. Williamson