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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

Best Machine Learning conferences

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.

YearTitleAuthors
2025Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels.Daning Huang, Hanyang He, John Harlim, Yan Li
2025Redefining the task of Bioactivity Prediction.Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan
2025Task Descriptors Help Transformers Learn Linear Models In-Context.Ruomin Huang, Rong Ge
2025Self-Evolved Reward Learning for LLMS.Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
2025New Algorithms for the Learning-Augmented k-means Problem.Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu, Jianxin Wang
2025Detecting Backdoor Samples in Contrastive Language Image Pretraining.Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey
2025Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model.Yaxuan Huang, Xili Dai, Jianan Wang, Xianbiao Qi, Yixing Yuan, Xiangyu Yue
2025Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Chih-Kai Yang, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Fabian Alejandro Ritter Gutierrez, et al.
2025Can Knowledge Editing Really Correct Hallucinations?Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2025SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting.Huajian Huang, Yingshu Chen, Longwei Li, Hui Cheng, Tristan Braud, Yajie Zhao, Sai-Kit Yeung
2025To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts.Yukun Huang, Sanxing Chen, Hongyi Cai, Bhuwan Dhingra
2025Self-Improvement in Language Models: The Sharpening Mechanism.Audrey Huang, Adam Block, Dylan J. Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan T. Ash, Akshay Krishnamurthy
2025Dynamic Low-Rank Sparse Adaptation for Large Language Models.Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji
2025MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow.Hanzhuo Huang, Yuan Liu, Ge Zheng, Jiepeng Wang, Zhiyang Dou, Sibei Yang
2025SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning.Lun Huang, Qiang Qiu, Guillermo Sapiro
2025DataGen: Unified Synthetic Dataset Generation via Large Language Models.Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang
2025Rethinking Light Decoder-based Solvers for Vehicle Routing Problems.Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu
2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence.Zhuo Huang, Gang Niu, Bo Han, Masashi Sugiyama, Tongliang Liu
2025The Belief State Transformer.Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2025Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data.Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li
2025Wavelet Diffusion Neural Operator.Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
2025VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking.Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang
2025Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition.Aliyah R. Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Y. Odisho, Peter R. Carroll, Bin Yu
2025What Makes a Maze Look Like a Maze?Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah D. Goodman, Jiajun Wu
2025Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval.Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma
2,501–2,525 of 11,991← PreviousNext →

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