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 | Empowering World Models with Reflection for Embodied Video Prediction. | Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi-Min Chan, Wei Xue, Qifeng Liu, Shanghang Zhang, Yike Guo |
| 2025 | Copilot Arena: A Platform for Code LLM Evaluation in the Wild. | Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar |
| 2025 | Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models. | Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu |
| 2025 | Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models. | Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu |
| 2025 | Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed. | Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horvth, Martin Takc, Eduard Gorbunov |
| 2025 | BILBO: BILevel Bayesian Optimization. | Wan Theng Ruth Chew, Quoc Phong Nguyen, Bryan Kian Hsiang Low |
| 2025 | Adaptive Sample Sharing for Multi Agent Linear Bandits. | Hamza Cherkaoui, Merwan Barlier, Igor Colin |
| 2025 | SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation. | Sathvik Chereddy, John Femiani |
| 2025 | EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. | Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay |
| 2025 | ExtPose: Robust and Coherent Pose Estimation by Extending ViTs. | Rongyu Chen, Li'an Zhuo, Linlin Yang, Qi Wang, Liefeng Bo, Bang Zhang, Angela Yao |
| 2025 | FIC-TSC: Learning Time Series Classification with Fisher Information Constraint. | Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi |
| 2025 | Convergence of Consistency Model with Multistep Sampling under General Data Assumptions. | Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun |
| 2025 | A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models. | Yiming Chen, Yuan Zhang, Yin Liu, Kun Yuan, Zaiwen Wen |
| 2025 | Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. | Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao |
| 2025 | Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence. | Zhaowei Chen, Borui Zhao, Yuchen Ge, Yuhao Chen, Renjie Song, Jiajun Liang |
| 2025 | On the Convergence of Continuous Single-timescale Actor-critic. | Xuyang Chen, Lin Zhao |
| 2025 | OmniArch: Building Foundation Model for Scientific Computing. | Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li |
| 2025 | Core Context Aware Transformers for Long Context Language Modeling. | Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan |
| 2025 | Learning Configurations for Data-Driven Multi-Objective Optimization. | Zhiyang Chen, Hailong Yao, Xia Yin |
| 2025 | Learn Singularly Perturbed Solutions via Homotopy Dynamics. | Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao |
| 2025 | Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization. | Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu |
| 2025 | An All-Atom Generative Model for Designing Protein Complexes. | Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu |
| 2025 | Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models. | Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu |
| 2025 | Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance. | Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen |
| 2025 | Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning. | Hongyao Chen, Tianyang Xu, Xiaojun Wu, Josef Kittler |
2,651–2,675 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)