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 |
|---|---|---|
| 2024 | FedWon: Triumphing Multi-domain Federated Learning Without Normalization. | Weiming Zhuang, Lingjuan Lyu |
| 2024 | Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming. | Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Y. Zhang |
| 2024 | ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. | Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang |
| 2024 | MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models. | Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny |
| 2024 | Quadratic models for understanding catapult dynamics of neural networks. | Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan, Mikhail Belkin |
| 2024 | Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation. | Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen |
| 2024 | PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. | Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li |
| 2024 | Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. | Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du |
| 2024 | Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. | Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han |
| 2024 | PhyloGFN: Phylogenetic inference with generative flow networks. | Ming-Yang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio |
| 2024 | WebArena: A Realistic Web Environment for Building Autonomous Agents. | Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig |
| 2024 | Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. | Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy |
| 2024 | Uni3D: Exploring Unified 3D Representation at Scale. | Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang |
| 2024 | Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. | Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li |
| 2024 | REFACTOR: Learning to Extract Theorems from Proofs. | Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse |
| 2024 | On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. | Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng |
| 2024 | An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression. | Lijia Zhou, James B. Simon, Gal Vardi, Nathan Srebro |
| 2024 | Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. | Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu |
| 2024 | Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. | Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun |
| 2024 | AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. | Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen |
| 2024 | Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. | Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji |
| 2024 | Retrieval-based Disentangled Representation Learning with Natural Language Supervision. | Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen |
| 2024 | DistillSpec: Improving Speculative Decoding via Knowledge Distillation. | Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-Franois Kagy, Rishabh Agarwal |
| 2024 | Denoising Diffusion Bridge Models. | Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon |
| 2024 | Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. | Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
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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)