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 | Three Mechanisms of Feature Learning in a Linear Network. | Yizhou Xu, Ziyin Liu |
| 2025 | Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge. | Haomiao Xiong, Zongxin Yang, Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Jiawen Zhu, Huchuan Lu |
| 2025 | Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks. | Zixuan Xiong, Guangwei Xu, Wenkai Zhang, Yuan Miao, Xuan Wu, LinHai, Ruijie Guo, Hai-Tao Zheng |
| 2025 | On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations. | Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li |
| 2025 | From Tokens to Lattices: Emergent Lattice Structures in Language Models. | Bo Xiong, Steffen Staab |
| 2025 | From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data. | Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos |
| 2025 | TopoGaussian: Inferring Internal Topology Structures from Visual Clues. | Xiaoyu Xiong, Changyu Hu, Chunru Lin, Pingchuan Ma, Chuang Gan, Tao Du |
| 2025 | DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback. | Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, Srinivas Shakkottai |
| 2025 | DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search. | Huajian Xin, Z. Z. Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Haowei Zhang, Qihao Zhu, Dejian Yang, Zhibin Gou, Z. F. Wu, Fuli Luo, Chong Ruan |
| 2025 | Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation. | Eliot Xing, Vernon Luk, Jean Oh |
| 2025 | When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs" for Human-AI Interaction. | Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel Sun, Chenhua Liu |
| 2025 | SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. | Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang |
| 2025 | Structural-Entropy-Based Sample Selection for Efficient and Effective Learning. | Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu |
| 2025 | EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation. | Jiajian Xie, Shengyu Zhang, Mengze Li, Chengfei Lv, Zhou Zhao, Fei Wu |
| 2025 | MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. | Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou |
| 2025 | SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency. | Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani |
| 2025 | Dataset Ownership Verification in Contrastive Pre-trained Models. | Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song |
| 2025 | SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. | Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal |
| 2025 | Adam Exploits ℓ∞-geometry of Loss Landscape via Coordinate-wise Adaptivity. | Shuo Xie, Mohamad Amin Mohamadi, Zhiyuan Li |
| 2025 | Show-o: One Single Transformer to Unify Multimodal Understanding and Generation. | Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou |
| 2025 | MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations. | Yan Xie, Minrui Lv, Chensong Zhang |
| 2025 | An Empirical Analysis of Uncertainty in Large Language Model Evaluations. | Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang |
| 2025 | Glad: A Streaming Scene Generator for Autonomous Driving. | Bin Xie, Yingfei Liu, Tiancai Wang, Jiale Cao, Xiangyu Zhang |
| 2025 | RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs. | Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding |
| 2025 | Gaussian Splatting Lucas-Kanade. | Liuyue Xie, Joel Julin, Koichiro Niinuma, Lszl Attila Jeni |
576–600 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)