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 | Model Risk-sensitive Offline Reinforcement Learning. | Gwangpyo Yoo, Honguk Woo |
| 2025 | SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. | Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal |
| 2025 | Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models. | Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo |
| 2025 | SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction. | Jihwan Yoon, Sangbeom Han, Jaeseok Oh, Minsik Lee |
| 2025 | Learning 3D Perception from Others' Predictions. | Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao |
| 2025 | OMG: Opacity Matters in Material Modeling with Gaussian Splatting. | Silong Yong, Venkata Nagarjun Pudureddiyur Manivannan, Bernhard Kerbl, Zifu Wan, Simon Stepputtis, Katia P. Sycara, Yaqi Xie |
| 2025 | Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions. | Lingjie Yi, Jiachen Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen |
| 2025 | KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models. | Eunice Yiu, Maan Qraitem, Anisa Noor Majhi, Charlie Wong, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko |
| 2025 | Reveal Object in Lensless Photography via Region Gaze and Amplification. | Xiangjun Yin, Huihui Yue |
| 2025 | A Coefficient Makes SVRG Effective. | Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu |
| 2025 | Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning. | Patrick Yin, Tyler Westenbroek, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta |
| 2025 | Compute-Constrained Data Selection. | Junjie Oscar Yin, Alexander M. Rush |
| 2025 | BingoGuard: LLM Content Moderation Tools with Risk Levels. | Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu |
| 2025 | Incremental Causal Effect for Time to Treatment Initialization. | Andrew Ying, Zhichen Zhao, Ronghui Xu |
| 2025 | Causal Identification for Complex Functional Longitudinal Studies. | Andrew Ying |
| 2025 | Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising. | Zhengwei Yin, Hongjun Wang, Guixu Lin, Weihang Ran, Yinqiang Zheng |
| 2025 | Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? | Yutong Yin, Zhaoran Wang |
| 2025 | VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. | Nilay Yilmaz, Maitreya Patel, Yiran Lawrence Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang |
| 2025 | Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. | Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li |
| 2025 | The robustness of differentiable Causal Discovery in misspecified Scenarios. | Huiyang Yi, Yanyan He, Duxin Chen, Mingyu Kang, He Wang, Wenwu Yu |
| 2025 | Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity. | Daiyao Yi, Hao Dong, Michael James Higley, Anne Churchland, Shreya Saxena |
| 2025 | ProteinBench: A Holistic Evaluation of Protein Foundation Models. | Fei Ye, Zaixiang Zheng, Dongyu Xue, Yuning Shen, Lihao Wang, Yiming Ma, Yan Wang, Xinyou Wang, Xiangxin Zhou, Quanquan Gu |
| 2025 | Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning. | Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan |
| 2025 | LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models. | Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai, Hengrui Kang, Jun He, Honglin Lin, Zihao Wang, Tong Wu, Zhizheng Wu, Yiping Chen, Dahua Lin, Conghui He, Weijia Li |
| 2025 | MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA. | Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang |
376–400 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)