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 | ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems. | Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo |
| 2025 | Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks. | Shikai Qiu, Lechao Xiao, Andrew Gordon Wilson, Jeffrey Pennington, Atish Agarwala |
| 2025 | Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing. | Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun |
| 2025 | Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks. | Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma |
| 2025 | Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule. | Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma |
| 2025 | Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation. | Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding. | Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Rex Ying |
| 2025 | The Lock-in Hypothesis: Stagnation by Algorithm. | Tianyi Qiu, Zhonghao He, Tejasveer Chugh, Max Kleiman-Weiner |
| 2025 | Lightweight-Mark: Rethinking Deep Learning-Based Watermarking. | Yupeng Qiu, Han Fang, Ee-Chien Chang |
| 2025 | Exploiting Curvature in Online Convex Optimization with Delayed Feedback. | Hao Qiu, Emmanuel Esposito, Mengxiao Zhang |
| 2025 | Feature out! Let Raw Image as Your Condition for Blind Face Restoration. | Xinmin Qiu, Gege Chen, Bonan Li, Congying Han, Tiande Guo, Zicheng Zhang |
| 2025 | Rethinking the Temperature for Federated Heterogeneous Distillation. | Fan Qi, Daxu Shi, Chuokun Xu, Shuai Li, Changsheng Xu |
| 2025 | Learning to Quantize for Training Vector-Quantized Networks. | Peijia Qin, Jianguo Zhang |
| 2025 | Info-Coevolution: An Efficient Framework for Data Model Coevolution. | Ziheng Qin, Hailun Xu, Wei Chee Yew, Qi Jia, Yang Luo, Kanchan Sarkar, Danhui Guan, Kai Wang, Yang You |
| 2025 | Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations. | Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda, Yuhan Hao |
| 2025 | WorldSimBench: Towards Video Generation Models as World Simulators. | Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Ruimao Zhang |
| 2025 | Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering. | Yalan Qin, Nan Pu, Guorui Feng, Nicu Sebe |
| 2025 | DeFoG: Discrete Flow Matching for Graph Generation. | Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard |
| 2025 | GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning. | Haoyuan Qin, Zhengzhu Liu, Chenxing Lin, Chennan Ma, Songzhu Mei, Siqi Shen, Cheng Wang |
| 2025 | Fast Incomplete Multi-view Clustering by Flexible Anchor Learning. | Yalan Qin, Guorui Feng, Xinpeng Zhang |
| 2025 | MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrdinger Bridges. | Shixi Qin, Zhiyong Yang, Shilong Bao, Shi Wang, Qianqian Xu, Qingming Huang |
| 2025 | Enhancing Spectral GNNs: From Topology and Perturbation Perspectives. | Taoyang Qin, Ke-Jia Chen, Zheng Liu |
| 2025 | PDUDT: Provable Decentralized Unlearning under Dynamic Topologies. | Jing Qiao, Yu Liu, Zengzhe Chen, Mingyi Li, Yuan Yuan, Xiao Zhang, Dongxiao Yu |
| 2025 | How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective. | Jing Qiao, Yu Liu, Yuan Yuan, Xiao Zhang, Zhipeng Cai, Dongxiao Yu |
| 2025 | GCAL: Adapting Graph Models to Evolving Domain Shifts. | Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong |
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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)