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 | Generating Freeform Endoskeletal Robots. | Muhan Li, Lingji Kong, Sam Kriegman |
| 2025 | SCBench: A KV Cache-Centric Analysis of Long-Context Methods. | Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | How to Find the Exact Pareto Front for Multi-Objective MDPs? | Yining Li, Peizhong Ju, Ness B. Shroff |
| 2025 | Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. | Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xiaohui Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering. | Zhixin Li, Yuheng Jia |
| 2025 | MamKO: Mamba-based Koopman operator for modeling and predictive control. | Zhaoyang Li, Minghao Han, Xunyuan Yin |
| 2025 | Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios. | Huaqiu Li, Xiaowan Hu, Haoqian Wang |
| 2025 | Combining Induction and Transduction for Abstract Reasoning. | Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis |
| 2025 | Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. | Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu |
| 2025 | On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. | Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen |
| 2025 | A Simple Approach to Unifying Diffusion-based Conditional Generation. | Xirui Li, Charles Herrmann, Kelvin C. K. Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang |
| 2025 | Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games. | Boning Li, Longbo Huang |
| 2025 | ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation. | Zongyi Li, Shujie Hu, Shujie Liu, Long Zhou, Jeongsoo Choi, Lingwei Meng, Xun Guo, Jinyu Li, Hefei Ling, Furu Wei |
| 2025 | Ensembles of Low-Rank Expert Adapters. | Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani |
| 2025 | Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration. | Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters. | Kevin Y. Li, Sachin Goyal, Joo D. Semedo, J. Zico Kolter |
| 2025 | DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. | Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang |
| 2025 | SFS: Smarter Code Space Search improves LLM Inference Scaling. | Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng |
| 2025 | Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. | Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu |
| 2025 | NextBestPath: Efficient 3D Mapping of Unseen Environments. | Shiyao Li, Antoine Gudon, Clmentin Boittiaux, Shizhe Chen, Vincent Lepetit |
| 2025 | Towards Bridging Generalization and Expressivity of Graph Neural Networks. | Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang |
| 2025 | MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. | Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu |
| 2025 | Enhancing End-to-End Autonomous Driving with Latent World Model. | Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan |
| 2025 | DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning. | Chao Li, Ziwei Deng, Chenxing Lin, Wenqi Chen, Yongquan Fu, Weiquan Liu, Chenglu Wen, Cheng Wang, Siqi Shen |
| 2025 | Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers. | Runjia Li, Qiwei Di, Quanquan Gu |
2,026–2,050 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)