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 | BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. | Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno |
| 2025 | On the Fourier analysis in the SO(3) space : the EquiLoPO Network. | Dmitrii Zhemchuzhnikov, Sergei Grudinin |
| 2025 | WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning. | Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, Lei Bai |
| 2025 | BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. | Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang |
| 2025 | Pareto Prompt Optimization. | Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian |
| 2025 | Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration. | Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu |
| 2025 | Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers. | Runyi Zhao, Sheng Xu, Bo Yue, Guiliang Liu |
| 2025 | DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. | Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge |
| 2025 | X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention. | Xiaochen Zhao, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang, Xiu Li, Linjie Luo, Jinli Suo, Yebin Liu |
| 2025 | SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process. | Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin |
| 2025 | Enhancing Learning with Label Differential Privacy by Vector Approximation. | Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li |
| 2025 | On Scaling Up 3D Gaussian Splatting Training. | Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie |
| 2025 | Multi-Scale Fusion for Object Representation. | Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen |
| 2025 | RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. | Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu |
| 2025 | Accelerating Neural ODEs: A Variational Formulation-based Approach. | Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao, Lui Sha, Huajie Shao |
| 2025 | Improving Large Language Model Planning with Action Sequence Similarity. | Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nova |
| 2025 | Deconstructing What Makes a Good Optimizer for Autoregressive Language Models. | Rosie Zhao, Depen Morwani, David Brandfonbrener, Nikhil Vyas, Sham M. Kakade |
| 2025 | GenXD: Generating Any 3D and 4D Scenes. | Yuyang Zhao, Chung-Ching Lin, Kevin Lin, Zhiwen Yan, Linjie Li, Zhengyuan Yang, Jianfeng Wang, Gim Hee Lee, Lijuan Wang |
| 2025 | Can Watermarks be Used to Detect LLM IP Infringement For Free? | Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao |
| 2025 | Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs. | Zijia Zhao, Haoyu Lu, Yuqi Huo, Yifan Du, Tongtian Yue, Longteng Guo, Bingning Wang, Weipeng Chen, Jing Liu |
| 2025 | Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields. | Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman |
| 2025 | MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences. | Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, Chunhua Shen |
| 2025 | BenTo: Benchmark Reduction with In-Context Transferability. | Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou |
| 2025 | Real-Time Video Generation with Pyramid Attention Broadcast. | Xuanlei Zhao, Xiaolong Jin, Kai Wang, Yang You |
| 2025 | Commit0: Library Generation from Scratch. | Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gall, Alexander M. Rush |
126–150 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)