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 | Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval. | Yue Wu, Zhaobo Qi, Yiling Wu, Junshu Sun, Yaowei Wang, Shuhui Wang |
| 2025 | CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. | Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang |
| 2025 | Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. | Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang |
| 2025 | Swift4D: Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene. | Jiahao Wu, Rui Peng, Zhiyan Wang, Lu Xiao, Luyang Tang, Jinbo Yan, Kaiqiang Xiong, Ronggang Wang |
| 2025 | SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning. | Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei |
| 2025 | Counterfactual Generative Modeling with Variational Causal Inference. | Yulun Wu, Louie McConnell, Claudia Iriondo |
| 2025 | Conditional Testing based on Localized Conformal p-values. | Xiaoyang Wu, Lin Lu, Zhaojun Wang, Changliang Zou |
| 2025 | Towards Federated RLHF with Aggregated Client Preference for LLMs. | Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao |
| 2025 | OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. | Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | Contextualizing biological perturbation experiments through language. | Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter |
| 2025 | HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing. | Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang, Minghui Yu, Junchi Yan |
| 2025 | Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation. | Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei |
| 2025 | Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings. | Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang, Jie Yang, Mohamad Sawan |
| 2025 | R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection. | Zhiqiang Wu, Yingjie Liu, Hanlin Dong, Xuan Tang, Jian Yang, Bo Jin, Mingsong Chen, Xian Wei |
| 2025 | Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning. | Wei Wu, Can Liao, Zizhen Deng, Zhengrui Guo, Jinzhuo Wang |
| 2025 | U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models. | Tung-Yu Wu, Melody Lo |
| 2025 | Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables. | Joshua Huang Wu, Hari Koneru, James Russell Ravenel, Anshuman Sabath, James Michael Roach, Shaun Sze-Xian Lim, Michael R. Tadross, Alex H. Williams, Timothy W. Dunn |
| 2025 | Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement. | Chenxu Wu, Qingpeng Kong, Zihang Jiang, S. Kevin Zhou |
| 2025 | Towards a Unified and Verified Understanding of Group-Operation Networks. | Wilson Wu, Louis Jaburi, Jacob Drori, Jason Gross |
| 2025 | MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility. | Wayne Wu, Honglin He, Jack He, Yiran Wang, Chenda Duan, Zhizheng Liu, Quanyi Li, Bolei Zhou |
| 2025 | LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. | Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee |
| 2025 | Error-quantified Conformal Inference for Time Series. | Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou |
| 2025 | Estimating the Probabilities of Rare Outputs in Language Models. | Gabriel Wu, Jacob Hilton |
| 2025 | No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models. | Changlong Wu, Ananth Grama, Wojciech Szpankowski |
| 2025 | Better Instruction-Following Through Minimum Bayes Risk. | Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Khoshfetrat Pakazad, Graham Neubig |
651–675 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)