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 | Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models. | Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng |
| 2025 | Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction. | Jing He, Haodong Li, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, Ying-Cong Chen |
| 2025 | Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. | Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu |
| 2025 | Fantastic Copyrighted Beasts and How (Not) to Generate Them. | Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson |
| 2025 | MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. | Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang |
| 2025 | Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model. | Chunming He, Chengyu Fang, Yulun Zhang, Longxiang Tang, Jinfa Huang, Kai Li, Zhenhua Guo, Xiu Li, Sina Farsiu |
| 2025 | Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model. | Rundong He, Yicong Dong, Lanzhe Guo, Yilong Yin, Tailin Wu |
| 2025 | Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. | Haoran He, Can Chang, Huazhe Xu, Ling Pan |
| 2025 | MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis. | Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Qi He, Wangmeng Xiang, Hanyuan Chen, Jin-Peng Lan, Xianhui Lin, Kang Zhu, Bin Luo, Yifeng Geng, Xuansong Xie, Alexander G. Hauptmann |
| 2025 | Semantix: An Energy-guided Sampler for Semantic Style Transfer. | Huiang He, Minghui Hu, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham |
| 2025 | Perm: A Parametric Representation for Multi-Style 3D Hair Modeling. | Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sren Pirk, Jorge Alejandro Amador Herrera, Dominik Ludewig Michels, Tuanfeng Yang Wang, Meng Zhang, Holly E. Rushmeier, Yi Zhou |
| 2025 | REvolve: Reward Evolution with Large Language Models using Human Feedback. | Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires |
| 2025 | Measuring memorization in RLHF for code completion. | Jamie Hayes, Ilia Shumailov, William P. Porter, Aneesh Pappu |
| 2025 | MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation. | Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji |
| 2025 | Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models. | Etrit Haxholli, Yeti Ziya Gurbuz, Ogul Can, Eli Waxman |
| 2025 | Can Transformers Do Enumerative Geometry? | Baran Hashemi, Roderic Guigo Corominas, Alessandro Giacchetto |
| 2025 | Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment. | Naoya Hasegawa, Issei Sato |
| 2025 | Elliptic Loss Regularization. | Ali Hasan, Haoming Yang, Yuting Ng, Vahid Tarokh |
| 2025 | Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks. | Ouns El Harzli, Bernardo Cuenca Grau |
| 2025 | Effective Interplay between Sparsity and Quantization: From Theory to Practice. | Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh |
| 2025 | kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers. | Themistoklis Haris |
| 2025 | OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. | Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo |
| 2025 | Radar: Fast Long-Context Decoding for Any Transformer. | Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung |
| 2025 | Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming. | Yilun Hao, Yang Zhang, Chuchu Fan |
| 2025 | BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities. | Shaozhe Hao, Xuantong Liu, Xianbiao Qi, Shihao Zhao, Bojia Zi, Rong Xiao, Kai Han, Kwan-Yee K. Wong |
2,576–2,600 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)