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 | Probing the Latent Hierarchical Structure of Data via Diffusion Models. | Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart |
| 2025 | Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning. | Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi, Yulia Tsvetkov, Yonatan Bisk, Yejin Choi, Asli Celikyilmaz |
| 2025 | ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning. | Nilo Schwencke, Cyril Furtlehner |
| 2025 | Attention as a Hypernetwork. | Simon Schug, Seijin Kobayashi, Yassir Akram, Joo Sacramento, Razvan Pascanu |
| 2025 | RESuM: A Rare Event Surrogate Model for Physics Detector Design. | Ann-Kathrin Schuetz, Alan W. P. Poon, Aobo Li |
| 2025 | Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models. | Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox |
| 2025 | Differentially private learners for heterogeneous treatment effects. | Maresa Schrder, Valentyn Melnychuk, Stefan Feuerriegel |
| 2025 | GeoLoRA: Geometric integration for parameter efficient fine-tuning. | Steffen Schotthfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch |
| 2025 | A Probabilistic Perspective on Unlearning and Alignment for Large Language Models. | Yan Scholten, Stephan Gnnemann, Leo Schwinn |
| 2025 | Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning. | Yan Scholten, Stephan Gnnemann |
| 2025 | Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs. | Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub |
| 2025 | Multi-domain Distribution Learning for De Novo Drug Design. | Arne Schneuing, Ilia Igashov, Adrian W. Dobbelstein, Thomas Castiglione, Michael M. Bronstein, Bruno Correia |
| 2025 | Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder. | Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jrmie Mary, Andrew I. Comport, Valrie Gouet-Brunet |
| 2025 | Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster. | Patrick Schnell, Luca Guastoni, Nils Thuerey |
| 2025 | What should a neuron aim for? Designing local objective functions based on information theory. | Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich, Abdullah Makkeh, Alexander S. Ecker, Viola Priesemann, Michael Wibral |
| 2025 | Offline Hierarchical Reinforcement Learning via Inverse Optimization. | Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues |
| 2025 | Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. | Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Gnter Klambauer |
| 2025 | The impact of allocation strategies in subset learning on the expressive power of neural networks. | Ofir Schlisselberg, Ran Darshan |
| 2025 | Simple Guidance Mechanisms for Discrete Diffusion Models. | Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P. de Almeida, Alexander M. Rush, Thomas Pierrot, Volodymyr Kuleshov |
| 2025 | KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks. | Dominik Scheuer, Frederic Runge, Jrg K. H. Franke, Michael T. Wolfinger, Christoph Flamm, Frank Hutter |
| 2025 | Failures to Find Transferable Image Jailbreaks Between Vision-Language Models. | Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristbal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez |
| 2025 | Discrete Codebook World Models for Continuous Control. | Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanp, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen |
| 2025 | What Matters in Learning from Large-Scale Datasets for Robot Manipulation. | Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige, Kuancheng Wang, Woo-Chul Shin, Soroush Nasiriany, Ajay Mandlekar, Danfei Xu |
| 2025 | Wasserstein Distances, Neuronal Entanglement, and Sparsity. | Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir Shavit |
| 2025 | Reasoning with Latent Thoughts: On the Power of Looped Transformers. | Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi |
1,226–1,250 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)