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 | Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making. | Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao |
| 2025 | Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding. | Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang, Feng Wu |
| 2025 | Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes. | Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | Weak-to-Strong Jailbreaking on Large Language Models. | Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang |
| 2025 | Understanding Synthetic Context Extension via Retrieval Heads. | Xinyu Zhao, Fangcong Yin, Greg Durrett |
| 2025 | Logarithmic Regret for Online KL-Regularized Reinforcement Learning. | Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang |
| 2025 | Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning. | Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian |
| 2025 | Taming Diffusion for Dataset Distillation with High Representativeness. | Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin |
| 2025 | Improving Memory Efficiency for Training KANs via Meta Learning. | Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu |
| 2025 | GraphGPT: Generative Pre-trained Graph Eulerian Transformer. | Qifang Zhao, Weidong Ren, Tianyu Li, Hong Liu, Xingsheng He, Xiaoxiao Xu |
| 2025 | Unlocking Post-hoc Dataset Inference with Synthetic Data. | Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic |
| 2025 | SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics. | Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie |
| 2025 | Learning Progress Driven Multi-Agent Curriculum. | Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen |
| 2025 | TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer. | Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu |
| 2025 | RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers. | Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu |
| 2025 | Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning. | Xue Zhao, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2025 | Contextual Bandits for Unbounded Context Distributions. | Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng |
| 2025 | Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance. | Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu |
| 2025 | Improving LLM Safety Alignment with Dual-Objective Optimization. | Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song |
| 2025 | DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. | Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You |
| 2025 | DeepLayout: Learning Neural Representations of Circuit Placement Layout. | Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Qiang Xu, Runsheng Wang, Yibo Lin |
| 2025 | Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback. | Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li |
| 2025 | Hierarchical Equivariant Policy via Frame Transfer. | Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt |
| 2025 | Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning. | Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang |
| 2025 | Can We Predict Performance of Large Models across Vision-Language Tasks? | Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould |
101–125 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)