acceptodds: Which papers will get accepted at ICLR 2027?
Abstract
A prediction market on peer review. Each paper has a market on its decision (accept or reject), priced by researchers who stake $rep, an in app currency, on what they expect. Everyone who signs up receives 1,000 $rep to trade with. Prices are probabilities, and every market settles when the venue publishes its decisions. It is a game made for fun, and has no connection to ICLR, OpenReview or any other organisation. acceptodds is an open source project, open to contributions, at github.com/benedict-armstrong/acceptodds.1
- Ludwig-Maximilians-Universität München
- Delhi Technological University
- Pohang University of Science and Technology
- ETH Zurich
- University of Maryland, College Park
- University of California, Irvine
- Emory University
- Massachusetts Institute of Technology
- Indian Institute of Technology Dhanbad
- Amazon
- University of Southern California
- Harvard University
- Virginia Tech
- University of Tübingen
- Roche
- Aalto University
- École Polytechnique Fédérale de Lausanne
- United International University
- Mila
- National Taiwan University
- University of Surrey
- Los Alamos National Laboratory
- Technical University of Munich
- The Chinese University of Hong Kong
- INHA University
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- Indian Institute of Technology Kharagpur
- Polytechnique Montréal
- New York University
- Mohamed bin Zayed University of Artificial Intelligence
- 北京大学
- University of Illinois Urbana-Champaign
- University of California, Santa Barbara
- West Virginia University
- University of California, Los Angeles
- ELLIS Institute Tübingen
- Uppsala University
- Industrial University of Santander
- Shanghai Jiao Tong University
- University of Moratuwa
- University of Pennsylvania
- Indian Institute of Technology Delhi
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[PDF]From Protein Representations to Functional Hierarchies: Reshaping Representation Geometry for Enzyme Classification
[PDF]Learning When Cellular Responses Transfer: A Factorized Memory-Guided Agent for Perturbation Prediction
[PDF]The Dignity Gap: Redefining Poverty as a Multidimensional Computational Target and Its Implications for AI-Assisted Welfare Governance
[PDF]When Visibility Degrades Together: Evaluating Human Pose Estimation across Severity and Compositional Low-Visibility Conditions
[PDF]Quantum-Assisted Prototype-Guided Refinement for Robust Medical Image Classification under Label Noise
[PDF]From Clues to Closure: Benchmarking Ultra-Long-Horizon Autonomous Computer Use through Evidence-Driven Gameplay
[PDF]Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training
[PDF]ICL-R: Reconstructing the Computational Effects of Demonstrations for Implicit Multimodal In-Context Learning
1 If this project is interesting to you, reach out at [email protected].