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 | Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation. | Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang |
| 2025 | When Can Proxies Improve the Sample Complexity of Preference Learning? | Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt J. Kusner, Alexander Nicholas D'Amour |
| 2025 | Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment. | Yu Zhu, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang |
| 2025 | How Effective Can Dropout Be in Multiple Instance Learning ? | Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang |
| 2025 | UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control. | Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi |
| 2025 | On the Power of Context-Enhanced Learning in LLMs. | Xingyu Zhu, Abhishek Panigrahi, Sanjeev Arora |
| 2025 | Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach. | Jin Zhu, Jingyi Li, Hongyi Zhou, Yinan Lin, Zhenhua Lin, Chengchun Shi |
| 2025 | Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation. | Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng |
| 2025 | The Case for Learned Provenance-based System Behavior Baseline. | Yao Zhu, Zhenyuan Li, Yangyang Wei, Shouling Ji |
| 2025 | Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion. | Xiyue Zhu, Dou Hoon Kwark, Ruike Zhu, Kaiwen Hong, Yiqi Tao, Shirui Luo, Yudu Li, Zhi-Pei Liang, Volodymyr V. Kindratenko |
| 2025 | CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models. | Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu |
| 2025 | SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning. | Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Jrgen Kurths, Frank Hellmann |
| 2025 | Agent-as-a-Judge: Evaluate Agents with Agents. | Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jrgen Schmidhuber |
| 2025 | TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization. | Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia |
| 2025 | How to Synthesize Text Data without Model Collapse? | Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou |
| 2025 | Doubly Robust Fusion of Many Treatments for Policy Learning. | Ke Zhu, Jianing Chu, Ilya Lipkovich, Wenyu Ye, Shu Yang |
| 2025 | Stealix: Model Stealing via Prompt Evolution. | Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz |
| 2025 | Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. | Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei |
| 2025 | Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More. | Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu |
| 2025 | TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision. | Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang |
| 2025 | Position: AI Evaluation Should Learn from How We Test Humans. | Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen |
| 2025 | Independence Tests for Language Models. | Sally Zhu, Ahmed M. Ahmed, Rohith Kuditipudi, Percy Liang |
| 2025 | CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism. | Ziming Zhu, Yu Zhu, Jiahao Chen, Xiaofeng Ling, Huanlei Chen, Lihua Sun |
| 2025 | MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization. | Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao |
| 2025 | Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning. | Huaicheng Zhou, Zifeng Zhuang, Donglin Wang |
26–50 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)