International Conference on Learning Representations
ICLR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
31.7% (2024)
Fields of research
Machine Learning
Papers indexed
11,991
2017–2025
Papers per year
20173,704 peak2025
Most published authors
ICLR papers
11,991 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems. | Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng |
| 2025 | Proxy Denoising for Source-Free Domain Adaptation. | Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Zhang, Xiatian Zhu |
| 2025 | Ward: Provable RAG Dataset Inference via LLM Watermarks. | Nikola Jovanovic, Robin Staab, Maximilian Baader, Martin T. Vechev |
| 2025 | HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models. | Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi |
| 2025 | DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. | Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal |
| 2025 | PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders. | Tianyu Xie, Harry Richman, Jiansi Gao, Frederick A. Matsen IV, Cheng Zhang |
| 2025 | Open-Set Graph Anomaly Detection via Normal Structure Regularisation. | Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie |
| 2025 | Differentiable and Learnable Wireless Simulation with Geometric Transformers. | Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer |
| 2025 | Generalizing Weisfeiler-Lehman Kernels to Subgraphs. | Dongkwan Kim, Alice Oh |
| 2025 | SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling. | Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham M. Kakade |
| 2025 | Accelerating Training with Neuron Interaction and Nowcasting Networks. | Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien |
| 2025 | Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors. | Peiran Xu, Yadong Mu |
| 2025 | Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy. | Mingyang Zhao, Gaofeng Meng, Dong-Ming Yan |
| 2025 | Graph-based Document Structure Analysis. | Yufan Chen, Ruiping Liu, Junwei Zheng, Di Wen, Kunyu Peng, Jiaming Zhang, Rainer Stiefelhagen |
| 2025 | DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation. | Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang |
| 2025 | Sharpness-Aware Black-Box Optimization. | Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang |
| 2025 | TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. | Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin |
| 2025 | OpenHands: An Open Platform for AI Software Developers as Generalist Agents. | Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, et al. |
| 2025 | Competing Large Language Models in Multi-Agent Gaming Environments. | Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu |
| 2025 | MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models. | Jingwei Xu, Junyu Lai, Yunpeng Huang |
| 2025 | MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. | Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou |
| 2025 | Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. | Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui |
| 2025 | Circuit Transformer: A Transformer That Preserves Logical Equivalence. | Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang |
| 2025 | Learning Causal Alignment for Reliable Disease Diagnosis. | Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, Yu Qiao, Yizhou Wang |
| 2025 | EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment. | Yifei Xing, Xiangyuan Lan, Ruiping Wang, Dongmei Jiang, Wenjun Huang, Qingfang Zheng, Yaowei Wang |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- 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)