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 | ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. | Qianlan Yang, Yu-Xiong Wang |
| 2024 | Exploration and Anti-Exploration with Distributional Random Network Distillation. | Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li |
| 2024 | Explain Temporal Black-Box Models via Functional Decomposition. | Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun |
| 2024 | UniAudio: Towards Universal Audio Generation with Large Language Models. | Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Haohan Guo, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Zhou Zhao, Xixin Wu, Helen M. Meng |
| 2024 | Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. | Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu |
| 2024 | ILILT: Implicit Learning of Inverse Lithography Technologies. | Haoyu Yang, Haoxing Ren |
| 2024 | Position: Towards Implicit Prompt For Text-To-Image Models. | Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo |
| 2024 | Position: Towards Unified Alignment Between Agents, Humans, and Environment. | Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu |
| 2024 | Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs. | Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang |
| 2024 | Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. | Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem |
| 2024 | Small-loss Adaptive Regret for Online Convex Optimization. | Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu, Lijun Zhang |
| 2024 | SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation. | Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun, Rongrong Ji |
| 2024 | Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model. | Tijin Yan, Hengheng Gong, Yongping He, Yufeng Zhan, Yuanqing Xia |
| 2024 | Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss. | Yahong Yang, Juncai He |
| 2024 | Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks. | Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman |
| 2024 | Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation. | Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang |
| 2024 | Guidance with Spherical Gaussian Constraint for Conditional Diffusion. | Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi |
| 2024 | Latent Space Symmetry Discovery. | Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu |
| 2024 | A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. | Shentao Yang, Tianqi Chen, Mingyuan Zhou |
| 2024 | DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent). | Zongxin Yang, Guikun Chen, Xiaodi Li, Wenguan Wang, Yi Yang |
| 2024 | Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary. | Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo, Shengping Zhang, Liqiang Nie |
| 2024 | Do Efficient Transformers Really Save Computation? | Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang |
| 2024 | Representation Surgery for Multi-Task Model Merging. | Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao |
| 2024 | Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. | Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen |
| 2024 | Balancing Similarity and Complementarity for Federated Learning. | Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang |
3,601–3,625 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)