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 | Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization. | Hao Dong, Eleni N. Chatzi, Olga Fink |
| 2025 | STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. | Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu |
| 2025 | Self-Boosting Large Language Models with Synthetic Preference Data. | Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei |
| 2025 | Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. | Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | Counterfactual Concept Bottleneck Models. | Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | Lawma: The Power of Specialization for Legal Annotation. | Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore |
| 2025 | Training on the Test Task Confounds Evaluation and Emergence. | Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt |
| 2025 | Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. | Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen |
| 2025 | From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks. | Clmentine Carla Juliette Domin, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M. Saxe |
| 2025 | Strong Model Collapse. | Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe |
| 2025 | Streaming Video Question-Answering with In-context Video KV-Cache Retrieval. | Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, Tao Zhong, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang |
| 2025 | Adversarial Machine Unlearning. | Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu |
| 2025 | Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation. | Anish Abhijit Diwan, Julen Urain, Jens Kober, Jan Peters |
| 2025 | Effective post-training embedding compression via temperature control in contrastive training. | Georgiana Dinu, Corey D. Barrett, Yi Xiang, Miguel Romero Calvo, Anna Currey, Xing Niu |
| 2025 | Representative Guidance: Diffusion Model Sampling with Coherence. | Anh-Dung Dinh, Daochang Liu, Chang Xu |
| 2025 | Rethinking Spiking Neural Networks from an Ensemble Learning Perspective. | Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng |
| 2025 | OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference. | Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan |
| 2025 | Unified Parameter-Efficient Unlearning for LLMs. | Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He |
| 2025 | MatExpert: Decomposing Materials Discovery By Mimicking Human Experts. | Qianggang Ding, Santiago Miret, Bang Liu |
| 2025 | ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time. | Yi Ding, Bolian Li, Ruqi Zhang |
| 2025 | CBQ: Cross-Block Quantization for Large Language Models. | Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang |
| 2025 | Adaptive Pruning of Pretrained Transformer via Differential Inclusions. | Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu |
| 2025 | Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion. | Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz |
| 2025 | Tree of Attributes Prompt Learning for Vision-Language Models. | Tong Ding, Wanhua Li, Zhongqi Miao, Hanspeter Pfister |
| 2025 | Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception. | Zihan Ding, Jiahui Fu, Si Liu, Hongyu Li, Siheng Chen, Hongsheng Li, Shifeng Zhang, Xu Zhou |
2,901–2,925 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)