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
- 北京大学
- Aalto University
- Korea Advanced Institute of Science and Technology
- University of California, Irvine
- INHA University
- Inria
- University of Tübingen
- Roche
- Carnegie Mellon University
- École Polytechnique Fédérale de Lausanne
- Amazon
- University of Southern California
- Polytechnique Montréal
- Mohamed bin Zayed University of Artificial Intelligence
- United International University
- Mila
- Los Alamos National Laboratory
- Indian Institute of Technology Delhi
- Uppsala University
- Shanghai Jiao Tong University
- Emory University
- University of California, Santa Barbara
- National Taiwan University
- University of Illinois Urbana-Champaign
- École Nationale Supérieure de Techniques Avancées
- University of Pennsylvania
- Harvard University
- Georgia Institute of Technology
- Johannes Kepler University of Linz
- ETH Zurich
- Pohang University of Science and Technology
- Industrial University of Santander
- University of Surrey
- Ludwig-Maximilians-Universität München
- University of Moratuwa
- Indian Institute of Technology Dhanbad
- The Chinese University of Hong Kong
- Indian Institute of Technology Kharagpur
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of Delaware
- University of California San Diego
- West Virginia University
- University of California, Los Angeles
- Virginia Tech
- École Polytechnique
- University of Wisconsin–Madison
- University of California, Berkeley
- New York University
- Delhi Technological University
- Massachusetts Institute of Technology
- ELLIS Institute Tübingen
- Technical University of Munich
- University of Maryland, College Park
- Boston University
[PDF]Rethinking Training–Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It
[PDF]Rotation Is Token-Blind: A Structural Criterion for Post-Training Quantization of Feed-Forward Geometry Transformers
[PDF]CLASP: Correlation-Leveraged Across-sample Separability Prioritization for Unsupervised Biomarker Discovery
[PDF]MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis
[PDF]The Wristband Gaussian Loss: Deterministic, Composable Latents via a Sphere–Interval Decomposition
[PDF]Personalized but Unchecked: Safe Personalization Requires Conditional Control in Medical Advice
[PDF]Think Less, Retrieve Earlier: Self-Speculative Retrieval for Efficient Retrieval-Augmented Generation
[PDF]Can Reflected Light Reveal Screen Content ? Learning Degradation-Routed Evidence Representations for Hidden Screen Content Recovery
[PDF]Theta sweeps accelerate cognitive map learning by broadcasting information to unvisited regions
[PDF]CrossCLIP: Bidirectional Cross-Modal Interaction with Instance-Adaptive Frequency Modulation for Anomaly Detection
1 If this project is interesting to you, reach out at [email protected].