International Conference on Machine Learning
ICML
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
27.5% (2024)
Fields of research
Machine Learning
Papers indexed
17,065
1988–2025
Papers per year
19883,341 peak2025
Most published authors
ICML papers
17,065 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space. | Zixing Song, Ziqiao Meng, Jos Miguel Hernndez-Lobato |
| 2025 | Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold. | Yilong Song, Peijin Li, Bin Gao, Kun Yuan |
| 2025 | LipsNet++: Unifying Filter and Controller into a Policy Network. | Xujie Song, Liangfa Chen, Tong Liu, Wenxuan Wang, Yinuo Wang, Shentao Qin, Yinsong Ma, Jingliang Duan, Shengbo Eben Li |
| 2025 | History-Guided Video Diffusion. | Kiwhan Song, Boyuan Chen, Max Simchowitz, Yilun Du, Russ Tedrake, Vincent Sitzmann |
| 2025 | PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design. | Zhenqiao Song, Tianxiao Li, Lei Li, Martin Renqiang Min |
| 2025 | Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. | Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic |
| 2025 | Learning Classifiers That Induce Markets. | Yonatan Sommer, Ivri Hikri, Lotan Amit, Nir Rosenfeld |
| 2025 | Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning. | Anna Soligo, Pietro Ferraro, David Boyle |
| 2025 | Learning with Exact Invariances in Polynomial Time. | Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet |
| 2025 | Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity. | Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro |
| 2025 | Conformal Prediction as Bayesian Quadrature. | Jake C. Snell, Thomas L. Griffiths |
| 2025 | Private Model Personalization Revisited. | Conor Snedeker, Xinyu Zhou, Raef Bassily |
| 2025 | Risk-Sensitive Theory of Mind: Coordinating with Agents of Unknown Bias using Cumulative Prospect Theory. | Mason O. Smith, Wenlong Zhang |
| 2025 | Functional Alignment Can Mislead: Examining Model Stitching. | Damian Smith, Harvey Mannering, Antonia Marcu |
| 2025 | Rethinking Aleatoric and Epistemic Uncertainty. | Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth |
| 2025 | In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval. | Matthew Smart, Alberto Bietti, Anirvan M. Sengupta |
| 2025 | Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. | Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Aln Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov |
| 2025 | Improving the Diffusability of Autoencoders. | Ivan Skorokhodov, Sharath Girish, Benran Hu, Willi Menapace, Yanyu Li, Rameen Abdal, Sergey Tulyakov, Aliaksandr Siarohin |
| 2025 | Layer by Layer: Uncovering Hidden Representations in Language Models. | Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Patel, Jalal Naghiyev, Yann LeCun, Ravid Shwartz-Ziv |
| 2025 | Geometric Algebra Planes: Convex Implicit Neural Volumes. | Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci |
| 2025 | CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations. | Haotian Si, Changhua Pei, Jianhui Li, Dan Pei, Gaogang Xie |
| 2025 | "Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift. | Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng |
| 2025 | Efficiently Serving Large Multimodal Models Using EPD Disaggregation. | Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan |
| 2025 | Strategy Coopetition Explains the Emergence and Transience of In-Context Learning. | Aaditya K. Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe |
| 2025 | Avoiding spurious sharpness minimization broadens applicability of SAM. | Sidak Pal Singh, Hossein Mobahi, Atish Agarwala, Yann N. Dauphin |
901–925 of 17,065← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICLRInternational Conference on Learning Representations
- AAISTATSInternational Conference on Artificial Intelligence and Statistics
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)