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 |
|---|---|---|
| 2024 | Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models. | Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang |
| 2024 | GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. | Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang |
| 2024 | CurBench: Curriculum Learning Benchmark. | Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu |
| 2024 | Conformalized Adaptive Forecasting of Heterogeneous Trajectories. | Yanfei Zhou, Lars Lindemann, Matteo Sesia |
| 2024 | RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation. | Jiawei Zhou, Linye Lyu, Daojing He, Yu Li |
| 2024 | Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. | Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled |
| 2024 | Pedestrian Attribute Recognition as Label-balanced Multi-label Learning. | Yibo Zhou, Hai-Miao Hu, Yirong Xiang, Xiaokang Zhang, Haotian Wu |
| 2024 | Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. | Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao |
| 2024 | RoboDreamer: Learning Compositional World Models for Robot Imagination. | Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan |
| 2024 | MD tree: a model-diagnostic tree grown on loss landscape. | Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schrholt, Yaoqing Yang |
| 2024 | On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. | Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan |
| 2024 | Jacobian Regularizer-based Neural Granger Causality. | Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen |
| 2024 | Differentially Private Worst-group Risk Minimization. | Xinyu Zhou, Raef Bassily |
| 2024 | Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. | Xiangxin Zhou, Liang Wang, Yichi Zhou |
| 2024 | Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm. | Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di |
| 2024 | Sequential Kernel Goodness-of-fit Testing. | Zhengyu Zhou, Weiwei Liu |
| 2024 | Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference. | Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang |
| 2024 | GNNs Also Deserve Editing, and They Need It More Than Once. | Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu |
| 2024 | ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. | Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji |
| 2024 | Towards Efficient Training and Evaluation of Robust Models against l0 Bounded Adversarial Perturbations. | Xuyang Zhong, Yixiao Huang, Chen Liu |
| 2024 | 3D-VLA: A 3D Vision-Language-Action Generative World Model. | Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, Chuang Gan |
| 2024 | Self-Infilling Code Generation. | Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong |
| 2024 | DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. | Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang |
| 2024 | On Prompt-Driven Safeguarding for Large Language Models. | Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng |
| 2024 | Detecting and Identifying Selection Structure in Sequential Data. | Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schlkopf, Kun Zhang |
3,376–3,400 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)