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 | SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. | Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma |
| 2025 | HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. | Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji |
| 2025 | Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization. | Rei Higuchi, Pierre-Louis Poirion, Akiko Takeda |
| 2025 | Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. | Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma |
| 2025 | Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. | Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin |
| 2025 | EvA: Erasing Spurious Correlations with Activations. | Qiyuan He, Kai Xu, Angela Yao |
| 2025 | CameraCtrl: Enabling Camera Control for Video Diffusion Models. | Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, Ceyuan Yang |
| 2025 | Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation. | Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang |
| 2025 | MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds. | Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Gnnemann |
| 2025 | RaSA: Rank-Sharing Low-Rank Adaptation. | Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang |
| 2025 | Stabilized Neural Prediction of Potential Outcomes in Continuous Time. | Konstantin Hess, Stefan Feuerriegel |
| 2025 | Fast Summation of Radial Kernels via QMC Slicing. | Johannes Hertrich, Tim Jahn, Michael Quellmalz |
| 2025 | Gradient correlation is a key ingredient to accelerate SGD with momentum. | Julien Hermant, Marien Renaud, Jean-Franois Aujol, Charles Dossal, Aude Rondepierre |
| 2025 | How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions. | Tal Herman, Guy N. Rothblum |
| 2025 | Higher-Order Graphon Neural Networks: Approximation and Cut Distance. | Daniel Herbst, Stefanie Jegelka |
| 2025 | Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks. | Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic |
| 2025 | Context Steering: Controllable Personalization at Inference Time. | Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan |
| 2025 | Do LLMs estimate uncertainty well in instruction-following? | Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain |
| 2025 | Isometric Regularization for Manifolds of Functional Data. | Hyeongjun Heo, Seonghun Oh, Jae Yong Lee, Young Min Kim, Yonghyeon Lee |
| 2025 | Do LLMs "know" internally when they follow instructions? | Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew C. Miller, Udhyakumar Nallasamy, Jaya Narain |
| 2025 | Geometry of Lightning Self-Attention: Identifiability and Dimension. | Nathan W. Henry, Giovanni Luca Marchetti, Kathln Kohn |
| 2025 | Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine. | Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik |
| 2025 | PIED: Physics-Informed Experimental Design for Inverse Problems. | Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | SMT: Fine-Tuning Large Language Models with Sparse Matrices. | Haoze He, Juncheng B. Li, Xuan Jiang, Heather Miller |
| 2025 | DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation. | Jing He, Haodong Li, Yongzhe Hu, Guibao Shen, Yingjie Cai, Weichao Qiu, Ying-Cong Chen |
2,551–2,575 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)