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 | RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers. | Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang |
| 2025 | Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. | Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han |
| 2025 | ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. | Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong |
| 2025 | Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF. | Nuoya Xiong, Aarti Singh |
| 2025 | Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. | Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos |
| 2025 | I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. | Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long |
| 2025 | TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration. | Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding |
| 2025 | MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost. | Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang |
| 2025 | One-Pass Feature Evolvable Learning with Theoretical Guarantees. | Cun-Yuan Xing, Meng-Zhang Qian, Wuyang Chen, Wei Gao, Zhi-Hua Zhou |
| 2025 | MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification. | Tianchi Xing, Bonan Li, Congying Han, Xinmin Qiu, Zicheng Zhang, Tiande Guo |
| 2025 | Knowledge Swapping via Learning and Unlearning. | Mingyu Xing, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong, Meng Wang |
| 2025 | Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing. | Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang |
| 2025 | OW-VAP: Visual Attribute Parsing for Open World Object Detection. | Xing Xi, Xing Fu, Weiqiang Wang, Ronghua Luo |
| 2025 | Robust Reward Alignment via Hypothesis Space Batch Cutting. | Zhixian Xie, Haode Zhang, Yizhe Feng, Wanxin Jin |
| 2025 | Structured Preconditioners in Adaptive Optimization: A Unified Analysis. | Shuo Xie, Tianhao Wang, Sashank J. Reddi, Sanjiv Kumar, Zhiyuan Li |
| 2025 | Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning. | Wanyun Xie, Francesco Tonin, Volkan Cevher |
| 2025 | Latent Diffusion Planning for Imitation Learning. | Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn |
| 2025 | Learning Vision and Language Concepts for Controllable Image Generation. | Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang |
| 2025 | Prior Knowledge Guided Neural Architecture Generation. | Jingrong Xie, Han Ji, Yanan Sun |
| 2025 | A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making. | Yi Xie, Jaedong Hwang, Carlos D. Brody, David W. Tank, Ila R. Fiete |
| 2025 | KIND: Knowledge Integration and Diversion for Training Decomposable Models. | Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng |
| 2025 | SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. | Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han |
| 2025 | FG-CLIP: Fine-Grained Visual and Textual Alignment. | Chunyu Xie, Bin Wang, Fanjing Kong, Jincheng Li, Dawei Liang, Gengshen Zhang, Dawei Leng, Yuhui Yin |
| 2025 | Simple Policy Optimization. | Zhengpeng Xie, Qiang Zhang, Fan Yang, Marco Hutter, Renjing Xu |
| 2025 | Distinguishing Cause from Effect with Causal Velocity Models. | Johnny Xi, Hugh Dance, Peter Orbanz, Benjamin Bloem-Reddy |
426–450 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)