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
- Emory University
- Georgia Institute of Technology
- The Chinese University of Hong Kong
- Ludwig-Maximilians-Universität München
- Indian Institute of Technology Dhanbad
- University of Southern California
- ELLIS Institute Tübingen
- University of Illinois Urbana-Champaign
- Roche
- University of Maryland, College Park
- University of Delaware
- Aalto University
- University of Moratuwa
- Los Alamos National Laboratory
- West Virginia University
- New York University
- Polytechnique Montréal
- INHA University
- Mila
- National Taiwan University
- Massachusetts Institute of Technology
- University of California, Irvine
- United International University
- Amazon
- Harvard University
- 北京大学
- Shanghai Jiao Tong University
- University of Pennsylvania
- Technical University of Munich
- École Polytechnique
- Pohang University of Science and Technology
- ETH Zurich
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- Indian Institute of Technology Kharagpur
- Uppsala University
- Mohamed bin Zayed University of Artificial Intelligence
- Indian Institute of Technology Delhi
- Delhi Technological University
- University of Tübingen
- École Polytechnique Fédérale de Lausanne
- Industrial University of Santander
- University of Surrey
- University of California, Santa Barbara
- University of California, Los Angeles
- Virginia Tech
[PDF]GSJEPA: Self-Supervised Approach to Learning Gaussian Splat Representations Using Joint Embedding Predictive Architecture
[PDF]What a Deepfake Score Does Not Tell You: Same-Source Controls for Face-Forgery and Generated-Video Detectors
[PDF]Normal Support Imbalance: Correcting Support-Dependent Score Bias in Multivariate Time-Series Anomaly Detection
[PDF]Data-driven Random-feature Approximation of Koopman Generators of Nonlinear Continuous-time Systems
[PDF]Knowing Where to Go: Generalizing Mobile Manipulation to Unseen Environments from a Single Video
[PDF]The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models
[PDF]Language-Conditioned Executable World Hypotheses for UAVs: Causal Evaluation and Certified Resolution
[PDF]AutoTabBench: Automated Tabular Benchmark for Tabular Foundation Models with Evidence-Grounded Scope Analysis
[PDF]The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark
1 If this project is interesting to you, reach out at [email protected].