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 | Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment. | Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna |
| 2025 | ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. | Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun |
| 2025 | Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. | Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Song Han |
| 2025 | Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm. | Du Chen, Geoffrey A. Chua |
| 2025 | Knowledge Localization: Mission Not Accomplished? Enter Query Localization! | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems. | Jie Chen |
| 2025 | ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing. | Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li |
| 2025 | Deconstructing Denoising Diffusion Models for Self-Supervised Learning. | Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He |
| 2025 | Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. | Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng |
| 2025 | Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models. | Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye |
| 2025 | Denoising with a Joint-Embedding Predictive Architecture. | Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu |
| 2025 | LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization. | Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing |
| 2025 | Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. | Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan . Arik |
| 2025 | When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach. | Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi |
| 2025 | MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers. | Yiwen Chen, Tong He, Di Huang, Weicai Ye, Sijin Chen, Jiaxiang Tang, Zhongang Cai, Lei Yang, Gang Yu, Guosheng Lin, Chi Zhang |
| 2025 | REFINE: Inversion-Free Backdoor Defense via Model Reprogramming. | Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren |
| 2025 | Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space. | Zhiliang Chen, Xinyuan Niu, Chuan-Sheng Foo, Bryan Kian Hsiang Low |
| 2025 | Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. | Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl |
| 2025 | GameGen-X: Interactive Open-world Game Video Generation. | Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen |
| 2025 | Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics. | Omar Chehab, Anna Korba, Austin J. Stromme, Adrien Vacher |
| 2025 | The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities. | Yongwei Che, Benjamin Eysenbach |
| 2025 | ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. | Ruchika Chavhan, Da Li, Timothy M. Hospedales |
| 2025 | Population Transformer: Learning Population-level Representations of Neural Activity. | Geeling Chau, Christopher Wang, Sabera J. Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu |
| 2025 | Certifying Counterfactual Bias in LLMs. | Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh |
| 2025 | Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires. | Paidamoyo Chapfuwa, Ilker Demirel, Lorenzo Pisani, Javier Zazo, Elon Portugaly, H. Jabran Zahid, Julia Greissl |
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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)