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 | Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias. | Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang |
| 2025 | Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge. | Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang |
| 2025 | Imitation Learning from a Single Temporally Misaligned Video. | William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury |
| 2025 | Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation. | Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari |
| 2025 | Nonparametric Modern Hopfield Models. | Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu |
| 2025 | Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features. | Yuzhen Hu, Biplab Banerjee, Saurabh Prasad |
| 2025 | A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data. | Cailong Hua, Sivaraman Rajaganapathy, Rebecca A. Slick, Joseph Vavra, Joseph M. Muretta, James M. Ervasti, Murti V. Salapaka |
| 2025 | TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting. | Qihe Huang, Zhengyang Zhou, Kuo Yang, Zhongchao Yi, Xu Wang, Yang Wang |
| 2025 | Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling. | Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang, Qiyang Min, Xun Zhou |
| 2025 | MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning. | Suning Huang, Zheyu Aqa Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu |
| 2025 | Steering Protein Language Models. | Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao |
| 2025 | Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints. | Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu |
| 2025 | Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens. | Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye |
| 2025 | IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. | Kuan-Po Huang, Shu-Wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim, Sashank Macha, Qingming Tang, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang |
| 2025 | Sample Complexity of Correlation Detection in the Gaussian Wigner Model. | Dong Huang, Pengkun Yang |
| 2025 | Learn Beneficial Noise as Graph Augmentation. | Siqi Huang, Yanchen Xu, Hongyuan Zhang, Xuelong Li |
| 2025 | Uncertainty Quantification for LLM-Based Survey Simulations. | Chengpiao Huang, Yuhang Wu, Kaizheng Wang |
| 2025 | DriveGPT: Scaling Autoregressive Behavior Models for Driving. | Xin Huang, Eric M. Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S. Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha S. Srinivasa |
| 2025 | A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity. | Yufei Huang, Changhu Wang, Junjie Tang, Weichi Wu, Ruibin Xi |
| 2025 | PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning. | Dongchi Huang, Jiaqi Wang, Yang Li, Chunhe Xia, Tianle Zhang, Kaige Zhang |
| 2025 | HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration. | Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang |
| 2025 | Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? | Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang |
| 2025 | Improving Flow Matching by Aligning Flow Divergence. | Yuhao Huang, Taos Transue, Shih-Hsin Wang, William M. Feldman, Hong Zhang, Bao Wang |
| 2025 | Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. | Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodrguez, Luca Zappella, Federico Danieli |
| 2025 | Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. | Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramr, Chiyuan Zhang |
2,076–2,100 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)