Aditya Krishna Menon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
16
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Better autoregressive regression with LLMs via regression-aware fine-tuning. | Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar |
| 2025 | ICLR | Faster Cascades via Speculative Decoding. | Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar |
| 2025 | ICML | Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation. | Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar |
| 2024 | EMNLP | Regression Aware Inference with LLMs. | Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar |
| 2024 | ICLR | Think before you speak: Training Language Models With Pause Tokens. | Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan |
| 2024 | ICLR | Language Model Cascades: Token-Level Uncertainty And Beyond. | Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar |
| 2024 | ICLR | Learning to Reject Meets Long-tail Learning. | Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar |
| 2024 | ICLR | Plugin estimators for selective classification with out-of-distribution detection. | Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar |
| 2024 | ICLR | The importance of feature preprocessing for differentially private linear optimization. | Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon |
| 2024 | ICLR | DistillSpec: Improving Speculative Decoding via Knowledge Distillation. | Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-Franois Kagy, Rishabh Agarwal |
| 2024 | ICML | USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. | Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar |
| 2023 | ICLR | Supervision Complexity and its Role in Knowledge Distillation. | Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar |
| 2023 | UAI | Robust distillation for worst-class performance: on the interplay between teacher and student objectives. | Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon |
| 2022 | ICML | In defense of dual-encoders for neural ranking. | Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar |
| 2021 | AISTATS | RankDistil: Knowledge Distillation for Ranking. | Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar |
| 2021 | CIKM | Self-supervised Learning for Large-scale Item Recommendations. | Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger |
| 2021 | ICLR | Long-tail learning via logit adjustment. | Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar |
| 2021 | ICLR | Overparameterisation and worst-case generalisation: friend or foe? | Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar |
| 2021 | ICLR | Coping with Label Shift via Distributionally Robust Optimisation. | Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra |
| 2021 | ICML | A statistical perspective on distillation. | Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar |
| 2021 | ICML | Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. | Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | EMNLP | SupMMD: A Sentence Importance Model for Extractive Summarisation using Maximum Mean Discrepancy. | Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, Lexing Xie |
| 2020 | EMNLP | Semantic Label Smoothing for Sequence to Sequence Problems. | Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar |
| 2020 | ICLR | Can gradient clipping mitigate label noise? | Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | ICML | Does label smoothing mitigate label noise? | Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar |
| 2020 | ICML | Supervised learning: no loss no cry. | Richard Nock, Aditya Krishna Menon |
| 2020 | ICML | Federated Learning with Only Positive Labels. | Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar |
| 2019 | AAAI | Comparative Document Summarisation via Classification. | Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie |
| 2019 | ICLR | On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data. | Nan Lu, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama |
| 2019 | ICML | Monge blunts Bayes: Hardness Results for Adversarial Training. | Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder |
| 2019 | ICML | Complementary-Label Learning for Arbitrary Losses and Models. | Takashi Ishida, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama |
| 2019 | ICML | Fairness risk measures. | Robert C. Williamson, Aditya Krishna Menon |
| 2018 | AAAI | Proper Loss Functions for Nonlinear Hawkes Processes. | Aditya Krishna Menon, Young Lee |
| 2017 | AAAI | Low-Rank Linear Cold-Start Recommendation from Social Data. | Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas |
| 2017 | CIKM | Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes. | Aditya Krishna Menon, Young Lee |
| 2017 | CVPR | Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. | Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu |
| 2017 | RecSys | PathRec: Visual Analysis of Travel Route Recommendations. | Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy |
| 2017 | RecSys | Revisiting revisits in trajectory recommendation. | Aditya Krishna Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong |
| 2016 | AAAI | On the Effectiveness of Linear Models for One-Class Collaborative Filtering. | Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Darius Braziunas |
| 2016 | ICML | Linking losses for density ratio and class-probability estimation. | Aditya Krishna Menon, Cheng Soon Ong |
| 2016 | IJCAI | Practical Linear Models for Large-Scale One-Class Collaborative Filtering. | Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner |
| 2015 | ICML | Learning from Corrupted Binary Labels via Class-Probability Estimation. | Aditya Krishna Menon, Brendan van Rooyen, Cheng Soon Ong, Bob Williamson |
| 2015 | WWW | AutoRec: Autoencoders Meet Collaborative Filtering. | Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie |
| 2015 | SDM | Cross-Modal Retrieval: A Pairwise Classification Approach. | Aditya Krishna Menon, Didi Surian, Sanjay Chawla |
| 2014 | COLT | Bayes-Optimal Scorers for Bipartite Ranking. | Aditya Krishna Menon, Robert C. Williamson |
| 2013 | ICML | On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. | Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla |
| 2013 | ICML | A Machine Learning Framework for Programming by Example. | Aditya Krishna Menon, Omer Tamuz, Sumit Gulwani, Butler W. Lampson, Adam Kalai |
| 2013 | UIST | A colorful approach to text processing by example. | Kuat Yessenov, Shubham Tulsiani, Aditya Krishna Menon, Robert C. Miller, Sumit Gulwani, Butler W. Lampson, Adam Kalai |
| 2012 | ICML | Predicting accurate probabilities with a ranking loss. | Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado |
| 2011 | KDD | Response prediction using collaborative filtering with hierarchies and side-information. | Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota |
| 2010 | ICDM | A Log-Linear Model with Latent Features for Dyadic Prediction. | Aditya Krishna Menon, Charles Elkan |
| 2007 | SDM | An incremental data-stream sketch using sparse random projections. | Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas |