Search Results - Menon, Aditya Krishna

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  1. 1
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    Supervised Learning: No Loss No Cry by Nock, Richard, Menon, Aditya Krishna

    Published 2020
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  2. 2
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    Training Over-parameterized Models with Non-decomposable Objectives by Narasimhan, Harikrishna, Menon, Aditya Krishna

    Published 2021
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  3. 3
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    The importance of feature preprocessing for differentially private linear optimization by Sun, Ziteng, Suresh, Ananda Theertha, Menon, Aditya Krishna

    Published 2023
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  4. 4
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    Sparse Robust Classification via the Kernel Mean by van Rooyen, Brendan, Menon, Aditya Krishna, Williamson, Robert C.

    Published 2015
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  5. 5
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    Does label smoothing mitigate label noise? by Lukasik, Michal, Bhojanapalli, Srinadh, Menon, Aditya Krishna, Kumar, Sanjiv

    Published 2020
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  6. 6
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    Teacher's pet: understanding and mitigating biases in distillation by Lukasik, Michal, Bhojanapalli, Srinadh, Menon, Aditya Krishna, Kumar, Sanjiv

    Published 2021
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  7. 7
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    Plugin estimators for selective classification with out-of-distribution detection by Narasimhan, Harikrishna, Menon, Aditya Krishna, Jitkrittum, Wittawat, Kumar, Sanjiv

    Published 2023
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  8. 8
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    Noise-tolerant fair classification by Lamy, Alexandre Louis, Zhong, Ziyuan, Menon, Aditya Krishna, Verma, Nakul

    Published 2019
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  9. 9
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    SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy by Bista, Umanga, Mathews, Alexander Patrick, Menon, Aditya Krishna, Xie, Lexing

    Published 2020
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  10. 10
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    ELM: Embedding and Logit Margins for Long-Tail Learning by Jitkrittum, Wittawat, Menon, Aditya Krishna, Rawat, Ankit Singh, Kumar, Sanjiv

    Published 2022
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  11. 11
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    Comparative Document Summarisation via Classification by Bista, Umanga, Mathews, Alexander, Shin, Minjeong, Menon, Aditya Krishna, Xie, Lexing

    Published 2018
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  12. 12
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    Federated Learning with Only Positive Labels by Yu, Felix X., Rawat, Ankit Singh, Menon, Aditya Krishna, Kumar, Sanjiv

    Published 2020
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  13. 13
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    On student-teacher deviations in distillation: does it pay to disobey? by Nagarajan, Vaishnavh, Menon, Aditya Krishna, Bhojanapalli, Srinadh, Mobahi, Hossein, Kumar, Sanjiv

    Published 2023
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  14. 14
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    Regression-aware Inference with LLMs by Lukasik, Michal, Narasimhan, Harikrishna, Menon, Aditya Krishna, Yu, Felix, Kumar, Sanjiv

    Published 2024
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  15. 15
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    When in Doubt, Summon the Titans: Efficient Inference with Large Models by Rawat, Ankit Singh, Zaheer, Manzil, Menon, Aditya Krishna, Ahmed, Amr, Kumar, Sanjiv

    Published 2021
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  16. 16
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    Supervision Complexity and its Role in Knowledge Distillation by Harutyunyan, Hrayr, Rawat, Ankit Singh, Menon, Aditya Krishna, Kim, Seungyeon, Kumar, Sanjiv

    Published 2023
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  17. 17
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    What do larger image classifiers memorise? by Lukasik, Michal, Nagarajan, Vaishnavh, Rawat, Ankit Singh, Menon, Aditya Krishna, Kumar, Sanjiv

    Published 2023
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  18. 18
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    Why distillation helps: a statistical perspective by Menon, Aditya Krishna, Rawat, Ankit Singh, Reddi, Sashank J., Kim, Seungyeon, Kumar, Sanjiv

    Published 2020
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  19. 19
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    Robust Distillation for Worst-class Performance by Wang, Serena, Narasimhan, Harikrishna, Zhou, Yichen, Hooker, Sara, Lukasik, Michal, Menon, Aditya Krishna

    Published 2022
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  20. 20
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    When does mixup promote local linearity in learned representations? by Chaudhry, Arslan, Menon, Aditya Krishna, Veit, Andreas, Jayasumana, Sadeep, Ramalingam, Srikumar, Kumar, Sanjiv

    Published 2022
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