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
- Mohamed bin Zayed University of Artificial Intelligence
- Technical University of Munich
- New York University
- Cornell University
- University of California, Los Angeles
- University of California, Irvine
- Stanford University
- École Polytechnique
- Meta
- Stony Brook University
- Inria
- ELLIS Institute Tübingen
- University of California, Berkeley
- Korea Advanced Institute of Science and Technology
- Massachusetts Geological Survey
- Columbia University
- 北京大学
- Massachusetts Institute of Technology
- Aalto University
- University of Michigan
- Johannes Kepler University of Linz
- Carnegie Mellon University
- Emory University
- National Taiwan University
- United International University
- Los Alamos National Laboratory
- Polytechnique Montréal
- Pohang University of Science and Technology
- Northwestern University
- Industrial University of Santander
- Harvard University
- INHA University
- The Chinese University of Hong Kong
- University of Southern California
- Amazon
- Shanghai Jiao Tong University
- KTH Royal Institute of Technology
- University of Surrey
- Virginia Tech
- École Polytechnique Fédérale de Lausanne
- University of Wisconsin–Madison
- West Virginia University
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of Maryland, College Park
- ETH Zurich
- Ludwig-Maximilians-Universität München
- University of Moratuwa
- University of Alberta
- Indian Institute of Technology Delhi
- Uppsala University
- University of Pennsylvania
- Clifford B. Kinley Trust
- University of Illinois Urbana-Champaign
- Delhi Technological University
- Georgia Institute of Technology
- Boston University
- Indian Institute of Technology Kharagpur
- Indian Institute of Technology Dhanbad
- École Nationale Supérieure de Techniques Avancées
- University of Delaware
- University of California, Santa Barbara
- Roche
- Mila
- University of Tübingen
- University of California San Diego
[PDF]Learning Where to Look: Reinforcement Learning from Radiologist Gaze for Visually Grounded Chest X-ray VQA
[PDF]Spend Where It Matters: Particle Search with MH Refinement for Budget-Constrained Audio-Visual Alignment
[PDF]Effects of Pretraining Concept Frequency and Semantic Similarity among Classes on CLIP Generalized Zero-Shot Accuracy
[PDF]DeForcing: Efficient Rolling-Free Training and Distillation Framework for Streaming Real-time Avatar Generation
[PDF]EPIC: Rethinking Trust Regions for Autoregressive LLM Policies via Exact-KL Prefix Importance-ratio Clipping
[PDF]Anomaly-Guided Observation and Two-Level Semantic Feedback for Training-Free Video Anomaly Analysis
[PDF]Lexical Conditional Memory: Decoupling Specialized Memory from Reasoning for Knowledge-Intensive Tasks
1 If this project is interesting to you, reach out at [email protected].