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
- University of California, Irvine
- University of Maryland, College Park
- Aalto University
- Korea Advanced Institute of Science and Technology
- École Polytechnique
- The Chinese University of Hong Kong
- 北京大学
- New York University
- University of Moratuwa
- ELLIS Institute Tübingen
- Delhi Technological University
- Uppsala University
- University of Tübingen
- University of Illinois Urbana-Champaign
- Polytechnique Montréal
- Indian Institute of Technology Delhi
- University of Southern California
- University of California, Los Angeles
- Mohamed bin Zayed University of Artificial Intelligence
- West Virginia University
- Amazon
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- Shanghai Jiao Tong University
- Technical University of Munich
- Carnegie Mellon University
- Johannes Kepler University of Linz
- Industrial University of Santander
- Emory University
- ETH Zurich
- National Taiwan University
- Georgia Institute of Technology
- École Nationale Supérieure de Techniques Avancées
- Indian Institute of Technology Dhanbad
- Pohang University of Science and Technology
- University of California San Diego
- Roche
- Mila
- École Polytechnique Fédérale de Lausanne
- Virginia Tech
- University of Delaware
- University of Surrey
- University of California, Santa Barbara
- United International University
- University of California, Berkeley
- University of Pennsylvania
- Indian Institute of Technology Kharagpur
- Massachusetts Institute of Technology
- Ludwig-Maximilians-Universität München
- Los Alamos National Laboratory
- INHA University
- Harvard University
[PDF]Cross-Modal Relational Distillation for White-Light Endoscopic Gastrointestinal Lesion Classification
[PDF]Causal-Discovery-Bench: A Verifiable Sandbox for Diagnosing and Improving LLM Agents in Sequential Causal Discovery
[PDF]FinEvolvingAgent: Self-Evolving Financial Deep Research Agent via Gradient-Guided Group Direct Preference Optimization
[PDF]PerturbCellRL: Aligning Distributions and Grounding Biology via Post-Training Perturbation Generators
[PDF]Gap-Free Streaming PCA Beyond Rank-One Updates: Near-Optimal Rates and Applications to Differential Privacy
[PDF]Residual Geometry Shapes Downstream Correction Work for Learned Warm Starts in Nonsmooth PDE Solvers
[PDF]The Evaluator Is a Random Variable: Auditing the Fixed Feature Space Behind Text-to-Motion Benchmarks
[PDF]Which Structures Amplify Attacks? Uncovering Collaboration-Induced Vulnerability in LLM Multi-Agent Systems
[PDF]Beyond Gradient Conflict: Multi-Task Landscape-based Optimization via Geometric Independent-task Confluence
[PDF]ProtoDeCo: Decoupling Anomaly Ranking and Normality Measurement for Cross-Domain Zero-Shot Anomaly Detection
[PDF]TSOrchestra: Time Series Agentic Orchestration Framework towards Dynamic and Faithful Forecasting
[PDF]Morphosemantic Concept Systems: Learning Reusable Discrete Concepts for Compositional Generalization
1 If this project is interesting to you, reach out at [email protected].