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 | Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. | Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik |
| 2025 | Adaptive Data Collection for Robust Learning Across Multiple Distributions. | Chengbo Zang, Mehmet Kerem Trkcan, Gil Zussman, Zoran Kostic, Javad Ghaderi |
| 2025 | Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents. | Karina Zainullina, Alexander Golubev, Maria Trofimova, Sergei Polezhaev, Ibragim Badertdinov, Daria Litvintseva, Simon Karasik, Filipp Fisin, Sergei Skvortsov, Maksim Nekrashevich, Anton Shevtsov, Boris Yangel |
| 2025 | Interpreting CLIP with Hierarchical Sparse Autoencoders. | Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek |
| 2025 | OrcaLoca: An LLM Agent Framework for Software Issue Localization. | Zhongming Yu, Hejia Zhang, Yujie Zhao, Hanxian Huang, Matrix Yao, Ke Ding, Jishen Zhao |
| 2025 | Continuous Semi-Implicit Models. | Longlin Yu, Jiajun Zha, Tong Yang, Tianyu Xie, Xiangyu Zhang, S.-H. Gary Chan, Cheng Zhang |
| 2025 | Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment. | Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang |
| 2025 | TS-SNN: Temporal Shift Module for Spiking Neural Networks. | Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang |
| 2025 | R.I.P.: Better Models by Survival of the Fittest Prompts. | Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E. Weston, Jing Xu |
| 2025 | Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization. | Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang |
| 2025 | Optimal and Practical Batched Linear Bandit Algorithm. | Sanghoon Yu, Min-hwan Oh |
| 2025 | Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization. | Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park |
| 2025 | Ultra-Resolution Adaptation with Ease. | Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang |
| 2025 | MindCustomer: Multi-Context Image Generation Blended with Brain Signal. | Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma |
| 2025 | Density Ratio Estimation with Conditional Probability Paths. | Hanlin Yu, Arto Klami, Aapo Hyvrinen, Anna Korba, Omar Chehab |
| 2025 | Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples. | Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, Lianhui Qin |
| 2025 | Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees. | Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li |
| 2025 | ResearchTown: Simulator of Human Research Community. | Haofei Yu, Zhaochen Hong, Zirui Cheng, Kunlun Zhu, Keyang Xuan, Jinwei Yao, Tao Feng, Jiaxuan You |
| 2025 | Improving Compositional Generation with Diffusion Models Using Lift Scores. | Chenning Yu, Sicun Gao |
| 2025 | Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection. | Peipeng Yu, Jianwei Fei, Hui Gao, Xuan Feng, Zhihua Xia, Chip-Hong Chang |
| 2025 | ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation. | Angxiao Yue, Zichong Wang, Hongteng Xu |
| 2025 | Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations. | Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo |
| 2025 | Provably Efficient Exploration in Inverse Constrained Reinforcement Learning. | Bo Yue, Jian Li, Guiliang Liu |
| 2025 | Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space. | Xihang Yue, Yi Yang, Linchao Zhu |
| 2025 | Optimal Information Retention for Time-Series Explanations. | Jinghang Yue, Jing Wang, Lu Zhang, Shuo Zhang, Da Li, Zhaoyang Ma, Youfang Lin |
251–275 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)