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 in each venue. 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
- Indian Institute of Technology Dhanbad
- Aalto University
- Ludwig-Maximilians-Universität München
- University of California, Irvine
- École Nationale Supérieure de Techniques Avancées
- Harvard University
- 北京大学
- Shanghai Jiao Tong University
- University of Wisconsin–Madison
- ELLIS Institute Tübingen
- ETH Zurich
- University of Illinois Urbana-Champaign
- United International University
- University of California San Diego
- Amazon
- New York University
- Georgia Institute of Technology
- West Virginia University
- University of California, Berkeley
- The Chinese University of Hong Kong
- Los Alamos National Laboratory
- University of Tübingen
- University of Maryland, College Park
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- National Taiwan University
- Technical University of Munich
- Massachusetts Institute of Technology
- Virginia Tech
- Mohamed bin Zayed University of Artificial Intelligence
- Uppsala University
- Carnegie Mellon University
- Delhi Technological University
- Boston University
- University of Moratuwa
- Korea Advanced Institute of Science and Technology
- École Polytechnique Fédérale de Lausanne
- Polytechnique Montréal
- Indian Institute of Technology Delhi
- Johannes Kepler University of Linz
- University of Delaware
- Mila
- INHA University
- University of Southern California
- Indian Institute of Technology Kharagpur
- University of Pennsylvania
- Inria
- University of California, Los Angeles
- Pohang University of Science and Technology
- Roche
- University of California, Santa Barbara
- École Polytechnique
- Emory University
- Industrial University of Santander
- University of Surrey
[PDF]Balanced Multi-Agent Reinforcement Learning via Desirability-Gated Pseudo-Expert Regularization
[PDF]Correlation Does Not Certify Reliable Evaluation: Identifiability Limits of World-Model-Based Robot Policy Selection
[PDF]BMIPrune: Class- and Layer-aware One-shot Average Activation-based Pruning for Convolutional Neural Networks via Mutual Information
[PDF]PC-GRPO: Pairwise Confidence Group Relative Policy Optimization for Post-Training Reasoning Language Models
[PDF]What a Rubric Judge Measures: Two Defects in a Shipped Scorer Change What It Measures, Not How Noisily
[PDF]Competent Agents Reveal Exactly What a Random Walk Sees: The Complete World-Model Information in Behavior
[PDF]The Shape of the DPO Hyperparameter Landscape: What to Measure, How It Moves with Scale, and When Not to Transfer It
[PDF]How Do MLLMs Detect AI-Generated Facial Images? A Study of Cross-Source Detection, Provenance, and Explanations
[PDF]RIGC: A Recommendation-Informed Foundation Model for Personalized Multimodal Content Generation
[PDF]Flow-Litho: A Physics-Guided World Model for Faithful Process Responses in Multi-Stage Computational Lithography
[PDF]AgentReplay: Token-Wise Trace Replay Is Essential for Fair Serving System Performance Benchmarking
1 If this project is interesting to you, reach out at [email protected].