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 | ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction. | Ziyu Tang, Weicai Ye, Yifan Wang, Di Huang, Hujun Bao, Tong He, Guofeng Zhang |
| 2025 | HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction. | Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang |
| 2025 | HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. | Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han |
| 2025 | Benign Overfitting in Out-of-Distribution Generalization of Linear Models. | Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin |
| 2025 | Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation. | Rong Tang, Lizhen Lin, Yun Yang |
| 2025 | QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation. | Yehui Tang, Mabiao Long, Junchi Yan |
| 2025 | RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. | Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Danning Ke, Shikuan Hong, Yiwu Yao, Gongyi Wang |
| 2025 | Training-Free Message Passing for Learning on Hypergraphs. | Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong |
| 2025 | EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation. | Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang |
| 2025 | ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. | Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein |
| 2025 | Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs. | Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim |
| 2025 | ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning. | Pengwei Tang, Xiaolin Hu, Yong Liu |
| 2025 | Animate-X: Universal Character Image Animation with Enhanced Motion Representation. | Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, Dandan Zheng, Ruobing Zheng, Kecheng Zheng, Jingdong Chen, Ming Yang |
| 2025 | Cauchy-Schwarz Regularizers. | Sueda Taner, Ziyi Wang, Christoph Studer |
| 2025 | Offline Model-Based Optimization by Learning to Rank. | Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2025 | Tamper-Resistant Safeguards for Open-Weight LLMs. | Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika |
| 2025 | L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement. | Morgan Bruce Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv |
| 2025 | Scalable Decentralized Learning with Teleportation. | Yuki Takezawa, Sebastian U. Stich |
| 2025 | LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality. | Kojiro Takeyama, Yimeng Liu, Misha Sra |
| 2025 | A General Framework for Off-Policy Learning with Partially-Observed Reward. | Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito |
| 2025 | Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation. | Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita |
| 2025 | Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence. | Dharmesh Tailor, Alvaro H. C. Correia, Eric T. Nalisnick, Christos Louizos |
| 2025 | Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging. | Behrooz Tahmasebi, Stefanie Jegelka |
| 2025 | Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. | Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar |
| 2025 | Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing. | Diaaeldin Taha, James Chapman, Marzieh Eidi, Karel Devriendt, Guido Montfar |
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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)