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 | RegMix: Data Mixture as Regression for Language Model Pre-training. | Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin |
| 2025 | TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction. | Yunfei Liu, Lei Zhu, Lijian Lin, Ye Zhu, Ailing Zhang, Yu Li |
| 2025 | Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach. | Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan |
| 2025 | Preference Diffusion for Recommendation. | Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua |
| 2025 | From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics. | Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li |
| 2025 | CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. | Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves |
| 2025 | MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models. | Ziyu Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Conghui He, Yuanjun Xiong, Dahua Lin, Jiaqi Wang |
| 2025 | CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer. | Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li |
| 2025 | UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning. | Shicheng Liu, Minghui Zhu |
| 2025 | Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping. | Zijian Liu, Zhengyuan Zhou |
| 2025 | Is Your Video Language Model a Reliable Judge? | Ming Liu, Wensheng Zhang |
| 2025 | On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery. | Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang |
| 2025 | VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. | Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Xixuan Song, Yifan Xu, Shudan Zhang, Hanyu Lai, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang |
| 2025 | DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks. | Wei Liu, Li Yang, Mingxuan Zhao, Shuxun Wang, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu |
| 2025 | Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering. | Sheng Liu, Haotian Ye, James Zou |
| 2025 | Prototype antithesis for biological few-shot class-incremental learning. | Binghao Liu, Han Yang, Fang Wan, Fei Gu |
| 2025 | Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search. | Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen, Shao-Hua Sun |
| 2025 | A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning. | Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh |
| 2025 | TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation. | Haiyang Liu, Xingchao Yang, Tomoya Akiyama, Yuantian Huang, Qiaoge Li, Shigeru Kuriyama, Takafumi Taketomi |
| 2025 | DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model. | Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu |
| 2025 | Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. | Zhen Liu, Tim Z. Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang |
| 2025 | Explanations of GNN on Evolving Graphs via Axiomatic Layer edges. | Yazheng Liu, Sihong Xie |
| 2025 | Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization. | Shuang Liu, Yihan Wang, Yifan Zhu, Yibo Miao, Xiao-Shan Gao |
| 2025 | KAN: Kolmogorov-Arnold Networks. | Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark |
| 2025 | RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. | Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu |
1,826–1,850 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)