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 | GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs. | Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic |
| 2025 | Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations. | Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez |
| 2025 | Learning and aligning single-neuron invariance manifolds in visual cortex. | Mohammad Bashiri, Luca Baroni, Jn Antolk, Fabian H. Sinz |
| 2025 | Doubly robust identification of treatment effects from multiple environments. | Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang |
| 2025 | ALLaM: Large Language Models for Arabic and English. | M. Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, Nouf M. Alotaibi, Hisham Abdullah Alyahya, Sultan Alrashed, Faisal Abdulrahman Mirza, Shaykhah Z. Alsubaie, Hassan A. Alahmed, Ghadah Alabduljabbar, Raghad Alkhathran, Yousef Almushayqih, Raneem Alnajim, Salman Alsubaihi, Maryam Al Mansour, Saad Amin Hassan, Majed Alrubaian, Ali Alammari, Zaki Alawami, Abdulmohsen Al-Thubaity, et al. |
| 2025 | Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination. | Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves |
| 2025 | Round and Round We Go! What makes Rotary Positional Encodings useful? | Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic |
| 2025 | SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings. | Barbora Barancikova, Zhuoyue Huang, Cristopher Salvi |
| 2025 | Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection. | Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang |
| 2025 | Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation. | Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan |
| 2025 | Homomorphism Counts as Structural Encodings for Graph Learning. | Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger |
| 2025 | MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI. | Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao |
| 2025 | Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. | Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He |
| 2025 | The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. | Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng |
| 2025 | VideoPhy: Evaluating Physical Commonsense for Video Generation. | Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover |
| 2025 | Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. | Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi |
| 2025 | Efficient and Accurate Explanation Estimation with Distribution Compression. | Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek |
| 2025 | Deep Networks Learn Features From Local Discontinuities in the Label Function. | Prithaj Banerjee, Harish Guruprasad Ramaswamy, Mahesh Lorik Yadav, Chandra Shekar Lakshminarayanan |
| 2025 | Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent. | Sayan Banerjee, Krishna Balasubramanian, Promit Ghosal |
| 2025 | Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models. | Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu |
| 2025 | Bundle Neural Network for message diffusion on graphs. | Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein |
| 2025 | Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. | Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause |
| 2025 | P-Spikessm: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks. | Malyaban Bal, Abhronil Sengupta |
| 2025 | MANTRA: The Manifold Triangulations Assemblage. | Rubn Ballester, Ernst Rell, Daniel Bin Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck |
| 2025 | Adversarial Training for Defense Against Label Poisoning Attacks. | Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach |
3,301–3,325 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)