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 | MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. | Junpeng Yue, Xinrun Xu, Brje F. Karlsson, Zongqing Lu |
| 2025 | Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning. | Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart, Guiliang Liu |
| 2025 | Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages. | Xiang Yue, Yueqi Song, Akari Asai, Seungone Kim, Jean de Dieu Nyandwi, Simran Khanuja, Anjali Kantharuban, Lintang Sutawika, Sathyanarayanan Ramamoorthy, Graham Neubig |
| 2025 | RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection. | Jingtong Yue, Zhiwei Lin, Xin Lin, Xiaoyu Zhou, Xiangtai Li, Lu Qi, Yongtao Wang, Ming-Hsuan Yang |
| 2025 | Ada-K Routing: Boosting the Efficiency of MoE-based LLMs. | Tongtian Yue, Longteng Guo, Jie Cheng, Xuange Gao, Hua Huang, Jing Liu |
| 2025 | Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction. | Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung |
| 2025 | Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. | Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin |
| 2025 | Robust LLM safeguarding via refusal feature adversarial training. | Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda |
| 2025 | Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. | Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu |
| 2025 | ContextGNN: Beyond Two-Tower Recommendation Systems. | Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey |
| 2025 | Cross-Embodiment Dexterous Grasping with Reinforcement Learning. | Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu |
| 2025 | A Closer Look at Machine Unlearning for Large Language Models. | Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin |
| 2025 | BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP. | Hao Yuan, Wenli Ouyang, Changwen Zhang, Yong Sun, Liming Gong, Junchi Yan |
| 2025 | Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model. | Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su |
| 2025 | Instance-dependent Early Stopping. | Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu |
| 2025 | FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise. | Yunlong Yuan, Yuanfan Guo, Chunwei Wang, Wei Zhang, Hang Xu, Li Zhang |
| 2025 | UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li |
| 2025 | Advancing LLM Reasoning Generalists with Preference Trees. | Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun |
| 2025 | ADMM for Structured Fractional Minimization. | Ganzhao Yuan |
| 2025 | ADMM for Nonconvex Optimization under Minimal Continuity Assumption. | Ganzhao Yuan |
| 2025 | PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. | Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park |
| 2025 | NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer. | Meng You, Zhiyu Zhu, Hui Liu, Junhui Hou |
| 2025 | MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba. | Masakazu Yoshimura, Teruaki Hayashi, Yota Maeda |
| 2025 | Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement. | Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian J. McAuley, Hiroki Naganuma |
| 2025 | The KoLMogorov Test: Compression by Code Generation. | Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen |
351–375 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)