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ICML
ICML Best Papers
International Conference on Machine Learning
27 papers · 2020–2025
← ICML Conference Info
🏆
2025
(6)
Outstanding Paper Award
CollabLLM: From Passive Responders to Active Collaborators
Wu, Galley, Peng, Cheng, Li, Dou, Cai, Zou, Leskovec, Gao
LLM
Agent
Outstanding Paper Award
Conformal Prediction as Bayesian Quadrature
Snell, Griffiths
Conformal Prediction
Bayesian
Outstanding Paper Award
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Nagarajan, Wu, Ding, Raghunathan
LLM
Generation
Outstanding Paper Award
Score Matching with Missing Data
Givens, Liu, Reeve
Generative Model
Statistics
Outstanding Paper Award
The Value of Prediction in Identifying the Worst-Off
Fischer Abaigar, Kern, Perdomo
Fairness
Prediction
Outstanding Paper Award
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Kim, Shah, Kontonis, Kakade, Chen
Diffusion
LLM
🏆
2024
(2)
Best Paper Award
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Lou, Meng & Ermon
Diffusion
Discrete
Best Paper Award
Position: Measure Dataset Diversity, Don't Just Claim It
Zhao et al.
Datasets
Diversity
🏆
2023
(6)
Best Paper Award
A Watermark for Large Language Models
Kirchenbauer et al.
LLM
Watermark
Best Paper Award
Learning-Rate-Free Learning by D-Adaptation
Defazio & Mishchenko
Optimization
Learning Rate
Best Paper Award
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
Reasoning
Logic
Best Paper Award
Adapting to game trees in zero-sum imperfect information games
Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko
Best Paper Award
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
Vishwaraj Doshi, Jie Hu, Do Young Eun
Randomized Algorithms
Markov Models
Best Paper Award
Bayesian Design Principles for Frequentist Sequential Learning
Yunbei Xu & Assaf Zeevi
Bayesian Methods
🏆
2022
(10)
Best Paper Award
Understanding Dataset Difficulty with V-Usable Information
Ethayarajh et al.
Dataset
Information Theory
Best Paper Award
Do Differentiable Simulators Give Better Policy Gradients?
Hyung Ju Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake
Best Paper Award
The Importance of Non-Markovianity in Maximum State Entropy Exploration
Mirco Mutti, Riccardo De Santi, Marcello Restelli
Exploration
Best Paper Award
G-Mixup: Graph Data Augmentation for Graph Classification
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
Classification
Best Paper Award
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong, Bo Zhao, Lingjuan Lyu
Privacy
Best Paper Award
Stable Conformal Prediction Sets
Eugene Ndiaye
Best Paper Award
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi, Pavel Izmailov, Gregory Benton, Micah Goldblum, Andrew Wilson
Bayesian Methods
Best Paper Award
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
Jiali Wang, Wen Huang, Rujun Jiang, Xudong Li, Alex Wang
Best Paper Award
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen & H. Vincent Poor
Best Paper Award
Causal Conceptions of Fairness and their Consequences
Hamed Nilforoshan, Johann Gaebler, Ravi Shroff, Sharad Goel
Fairness
🏆
2021
(1)
Best Paper Award
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol, Luke Metz, Jascha Sohl-Dickstein
meta-learning
gradient estimation
optimization
🏆
2020
(2)
Best Paper Award
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
Best Paper Award
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kiaxuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schonlieb, Hua Huang