A. Menon

Most-cited papers

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
Giorgio Patrini, A. Rozza, A. Menon, R. Nock +1 more
2016Computer Vision and Pattern Recognition1,766 citations Open access
Semantic Scholar
AutoRec: Autoencoders Meet Collaborative Filtering
Suvash Sedhain, A. Menon, Scott Sanner, Lexing Xie
2015The Web Conference1,297 citations
Semantic Scholar
Long-tail learning via logit adjustment
A. Menon, Sadeep Jayasumana, A. Rawat, Himanshu Jain +2 more
2020International Conference on Learning Representations1,150 citations
Semantic Scholar
The cost of fairness in binary classification
A. Menon, R. C. Williamson
2018FAT507 citations
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Does label smoothing mitigate label noise?
Michal Lukasik, Srinadh Bhojanapalli, A. Menon, Surinder Kumar
2020International Conference on Machine Learning436 citations
Semantic Scholar
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy, A. Menon, Sanjay Chawla
2018arXiv.org426 citations
Semantic Scholar
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, A. Menon, R. C. Williamson
2015Neural Information Processing Systems367 citations
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Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Z. Ji, A. Rawat, A. Menon +2 more
2023International Conference on Learning Representations362 citations Open access
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Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao, Xin-Yang Yi, D. Cheng, Felix X. Yu +7 more
2020International Conference on Information and Knowledge Management344 citations Open access
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Learning from Corrupted Binary Labels via Class-Probability Estimation
A. Menon, Brendan van Rooyen, Cheng Soon Ong, Bob Williamson
2015International Conference on Machine Learning267 citations
Semantic Scholar
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
Yongchao Zhou, Kaifeng Lyu, A. Rawat, A. Menon +4 more
2023International Conference on Learning Representations195 citations Open access
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Robust, Deep and Inductive Anomaly Detection
Raghavendra Chalapathy, A. Menon, Sanjay Chawla
2017ECML/PKDD175 citations Open access
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Can gradient clipping mitigate label noise?
A. Menon, A. Rawat, Sashank J. Reddi, Sanjiv Kumar
2020International Conference on Learning Representations172 citations
Semantic Scholar
Language Model Cascades: Token-level uncertainty and beyond
Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, A. Rawat +2 more
2024International Conference on Learning Representations170 citations
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Fairness risk measures
R. C. Williamson, A. Menon
2019International Conference on Machine Learning157 citations
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Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida, Gang Niu, A. Menon, Masashi Sugiyama
2018International Conference on Machine Learning140 citations
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Federated Learning with Only Positive Labels
Felix X. Yu, A. Rawat, A. Menon, Sanjiv Kumar
2020International Conference on Machine Learning129 citations
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A statistical perspective on distillation
A. Menon, A. Rawat, Sashank J. Reddi, Seungyeon Kim +1 more
2021International Conference on Machine Learning121 citations
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Universal Model Routing for Efficient LLM Inference
Wittawat Jitkrittum, Harikrishna Narasimhan, A. Rawat, Jeevesh Juneja +6 more
2025arXiv.org112 citations
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On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Nan Lu, Gang Niu, A. Menon, Masashi Sugiyama
2018International Conference on Learning Representations106 citations
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Beam search algorithms for multilabel learning
Abhishek Kumar, Shankar Vembu, A. Menon, C. Elkan
2013Machine-mediated learning96 citations Open access
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Linking losses for density ratio and class-probability estimation
A. Menon, Cheng Soon Ong
2016International Conference on Machine Learning86 citations
Semantic Scholar
Noise-tolerant fair classification
A. Lamy, Zi-Yuan Zhong, A. Menon, Nakul Verma
2019Neural Information Processing Systems84 citations
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Coping with Label Shift via Distributionally Robust Optimisation
J. Zhang, A. Menon, Andreas Veit, Srinadh Bhojanapalli +2 more
2020International Conference on Learning Representations82 citations
Semantic Scholar
When Does Confidence-Based Cascade Deferral Suffice?
Wittawat Jitkrittum, Neha Gupta, A. Menon, Harikrishna Narasimhan +2 more
2023Neural Information Processing Systems81 citations Open access
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Low-Rank Linear Cold-Start Recommendation from Social Data
Suvash Sedhain, A. Menon, Scott Sanner, Lexing Xie +1 more
2017AAAI Conference on Artificial Intelligence79 citations Open access
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Learning from binary labels with instance-dependent noise
A. Menon, Brendan van Rooyen, Nagarajan Natarajan
2018Machine-mediated learning76 citations Open access
Semantic Scholar
Post-hoc estimators for learning to defer to an expert
Harikrishna Narasimhan, Wittawat Jitkrittum, A. Menon, A. Rawat +1 more
2022Neural Information Processing Systems72 citations
Semantic Scholar
Making Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini, A. Rozza, A. Menon, R. Nock +1 more
2016arXiv.org63 citations
Semantic Scholar
Self-supervised Learning for Deep Models in Recommendations
Tiansheng Yao, Xin-Yang Yi, D. Cheng, Felix X. Yu +6 more
2020arXiv.org53 citations
Semantic Scholar
Multilabel reductions: what is my loss optimising?
A. Menon, A. Rawat, Sashank J. Reddi, Sanjiv Kumar
2019Neural Information Processing Systems51 citations
Semantic Scholar
On the Effectiveness of Linear Models for One-Class Collaborative Filtering
Suvash Sedhain, A. Menon, Scott Sanner, Darius Braziunas
2016AAAI Conference on Artificial Intelligence50 citations Open access
Semantic Scholar
On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, A. Rawat +3 more
2021arXiv.org49 citations
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RankDistil: Knowledge Distillation for Ranking
Sashank J. Reddi, Rama Kumar Pasumarthi, A. Menon, A. Rawat +4 more
2021International Conference on Artificial Intelligence and Statistics47 citations
Semantic Scholar
Faster Cascades via Speculative Decoding
Harikrishna Narasimhan, Wittawat Jitkrittum, A. Rawat, Seungyeon Kim +3 more
2024International Conference on Learning Representations45 citations
Semantic Scholar
Bipartite Ranking: a Risk-Theoretic Perspective
A. Menon, R. C. Williamson
2016Journal of machine learning research44 citations
Semantic Scholar
Learning from Binary Labels with Instance-Dependent Corruption
A. Menon, Brendan van Rooyen, Nagarajan Natarajan
2016arXiv.org43 citations
Semantic Scholar
Overparameterisation and worst-case generalisation: friend or foe?
A. Menon, A. Rawat, Sanjiv Kumar
2021International Conference on Learning Representations38 citations
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Robust Large-Margin Learning in Hyperbolic Space
Melanie Weber, M. Zaheer, A. Rawat, A. Menon +1 more
2020Neural Information Processing Systems36 citations
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In defense of dual-encoders for neural ranking
A. Menon, Sadeep Jayasumana, A. Rawat, Seungyeon Kim +2 more
2022International Conference on Machine Learning35 citations
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Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik, Srinadh Bhojanapalli, A. Menon, Sanjiv Kumar
2021Trans. Mach. Learn. Res.35 citations
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f-GANs in an Information Geometric Nutshell
R. Nock, Zac Cranko, A. Menon, Lizhen Qu +1 more
2017Neural Information Processing Systems29 citations
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Why distillation helps: a statistical perspective
A. Menon, A. Rawat, Sashank J. Reddi, Seungyeon Kim +1 more
2020arXiv.org28 citations
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The cost of fairness in classification
A. Menon, R. C. Williamson
2017arXiv.org26 citations
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On student-teacher deviations in distillation: does it pay to disobey?
Vaishnavh Nagarajan, A. Menon, Srinadh Bhojanapalli, H. Mobahi +1 more
2023Neural Information Processing Systems25 citations Open access
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Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan, A. Rawat, A. Menon, Seungyeon Kim +1 more
2023International Conference on Learning Representations24 citations Open access
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Practical Linear Models for Large-Scale One-Class Collaborative Filtering
Suvash Sedhain, Bui Hung, Jaya Kawale, N. Vlassis +4 more
2016International Joint Conference on Artificial Intelligence24 citations
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Fine-grained OD estimation with automated zoning and sparsity regularisation
A. Menon, C. Cai, Weihong Wang, Tao Wen +1 more
201523 citations
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Better autoregressive regression with LLMs via regression-aware fine-tuning
Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang +3 more
2025International Conference on Learning Representations22 citations
Semantic Scholar
Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik, Himanshu Jain, A. Menon, Seungyeon Kim +3 more
2020Conference on Empirical Methods in Natural Language Processing21 citations Open access
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