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 | MMTEB: Massive Multilingual Text Embedding Benchmark. | Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Mrton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrm, Roman Solomatin, mer Veysel agatan, Akash Kundu, et al. |
| 2025 | Towards Certification of Uncertainty Calibration under Adversarial Attacks. | Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi |
| 2025 | Shh, don't say that! Domain Certification in LLMs. | Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi |
| 2025 | SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems. | Patrick Emami, Zhaonan Li, Saumya Sinha, Truc Nguyen |
| 2025 | First-Person Fairness in Chatbots. | Tyna Eloundou, Alex Beutel, David G. Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai |
| 2025 | Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators. | Ariel Elnekave, Yair Weiss |
| 2025 | Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation. | Slava Elizarov, Ciara Rowles, Simon Donn |
| 2025 | Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation. | Abdelrahman Eldesokey, Peter Wonka |
| 2025 | Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. | Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth |
| 2025 | Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity. | Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron |
| 2025 | COPER: Correlation-based Permutations for Multi-View Clustering. | Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum |
| 2025 | Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models. | Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi |
| 2025 | Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness. | Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld |
| 2025 | Finding Shared Decodable Concepts and their Negations in the Brain. | Cory Daniel Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe |
| 2025 | Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test. | Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka |
| 2025 | Learning Successor Features with Distributed Hebbian Temporal Memory. | Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksandr Panov |
| 2025 | Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness. | Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu |
| 2025 | Fast unsupervised ground metric learning with tree-Wasserstein distance. | Kira Michaela Dsterwald, Samo Hromadka, Makoto Yamada |
| 2025 | Advantage Alignment Algorithms. | Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron C. Courville |
| 2025 | SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. | Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari |
| 2025 | Causal Discovery via Bayesian Optimization. | Bao Duong, Sunil Gupta, Thin Nguyen |
| 2025 | Reconciling Model Multiplicity for Downstream Decision Making. | Ally Yalei Du, Dung Daniel T. Ngo, Zhiwei Steven Wu |
| 2025 | VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models. | Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez |
| 2025 | Rethinking Multiple-Instance Learning From Feature Space to Probability Space. | Zhaolong Du, Shasha Mao, Xuequan Lu, Mengnan Qi, Yimeng Zhang, Jing Gu, Licheng Jiao |
| 2025 | LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. | Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong |
2,851–2,875 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)