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 | EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction. | Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio |
| 2025 | LLM Data Selection and Utilization via Dynamic Bi-level Optimization. | Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao |
| 2025 | Learning-Order Autoregressive Models with Application to Molecular Graph Generation. | Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis K. Titsias |
| 2025 | FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining. | Dong Li, Yidi Liu, Xueyang Fu, Jie Huang, Senyan Xu, Qi Zhu, Zheng-Jun Zha |
| 2025 | Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances. | Jie Wang, March Boedihardjo, Yao Xie |
| 2025 | Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. | Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | Scaling Laws in Patchification: An Image Is Worth 50, 176 Tokens And More. | Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. | Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves |
| 2025 | SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. | Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi |
| 2025 | HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding. | Rui Yang, Lin Song, Yicheng Xiao, Runhui Huang, Yixiao Ge, Ying Shan, Hengshuang Zhao |
| 2025 | Settling the Maximin Share Fairness for Scheduling among Groups of Machines. | Bo Li, Fangxiao Wang, Shiji Xing |
| 2025 | FreeMesh: Boosting Mesh Generation with Coordinates Merging. | Jian Liu, Haohan Weng, Biwen Lei, Xianghui Yang, Zibo Zhao, Zhuo Chen, Song Guo, Tao Han, Chunchao Guo |
| 2025 | BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly. | Yan Shen, Ruihai Wu, Yubin Ke, Xinyuan Song, Zeyi Li, Xiaoqi Li, Hongwei Fan, Haoran Lu, Hao Dong |
| 2025 | BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution. | Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang |
| 2025 | Adapting Precomputed Features for Efficient Graph Condensation. | Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He |
| 2025 | Efficient Skill Discovery via Regret-Aware Optimization. | He Zhang, Ming Zhou, Shaopeng Zhai, Ying Sun, Hui Xiong |
| 2025 | Contrastive Visual Data Augmentation. | Yu Zhou, Bingxuan Li, Mohan Tang, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng |
| 2025 | Understanding Mode Connectivity via Parameter Space Symmetry. | Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu |
| 2025 | Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs. | Jie Hu, Yi-Ting Ma, Do Young Eun |
| 2025 | Scalable Model Merging with Progressive Layer-wise Distillation. | Jing Xu, Jiazheng Li, Jingzhao Zhang |
| 2025 | Learning Soft Sparse Shapes for Efficient Time-Series Classification. | Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma |
| 2025 | CursorCore: Assist Programming through Aligning Anything. | Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang |
| 2025 | MATS: An Audio Language Model under Text-only Supervision. | Wen Wang, Ruibing Hou, Hong Chang, Shiguang Shan, Xilin Chen |
| 2025 | Learning to (Learn at Test Time): RNNs with Expressive Hidden States. | Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin |
| 2025 | SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference. | Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang |
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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)