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 | TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. | Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang |
| 2025 | Why In-Context Learning Models are Good Few-Shot Learners? | Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2025 | Can In-context Learning Really Generalize to Out-of-distribution Tasks? | Qixun Wang, Yifei Wang, Xianghua Ying, Yisen Wang |
| 2025 | Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation. | Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng |
| 2025 | FaceShot: Bring Any Character into Life. | Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing, Kai Chen, Cairong Zhao |
| 2025 | Subgraph Federated Learning for Local Generalization. | Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park |
| 2025 | Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. | Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister |
| 2025 | GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. | Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun |
| 2025 | TDDBench: A Benchmark for Training data detection. | Zhihao Zhu, Yi Yang, Defu Lian |
| 2025 | Implicit In-context Learning. | Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas |
| 2025 | Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. | Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh |
| 2025 | SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels. | Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo Wang |
| 2025 | RRM: Robust Reward Model Training Mitigates Reward Hacking. | Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh |
| 2025 | AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation. | Yuning Cui, Syed Waqas Zamir, Salman H. Khan, Alois Knoll, Mubarak Shah, Fahad Shahbaz Khan |
| 2025 | OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces. | Zehan Wang, Ziang Zhang, Minjie Hong, Hang Zhang, Luping Liu, Rongjie Huang, Xize Cheng, Shengpeng Ji, Tao Jin, Hengshuang Zhao, Zhou Zhao |
| 2025 | Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. | Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai |
| 2025 | MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts. | Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan |
| 2025 | Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. | Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An |
| 2025 | Remove Symmetries to Control Model Expressivity and Improve Optimization. | Liu Ziyin, Yizhou Xu, Isaac L. Chuang |
| 2025 | Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. | Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang |
| 2025 | Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. | Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng |
| 2025 | Hierarchical World Models as Visual Whole-Body Humanoid Controllers. | Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su |
| 2025 | Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers. | Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang |
| 2025 | Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? | Charles Dawson, Van Tran, Max Z. Li, Chuchu Fan |
| 2025 | On the Identification of Temporal Causal Representation with Instantaneous Dependence. | Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang |
3,626–3,650 of 11,991← PreviousNext →
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)