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
- Indian Institute of Technology Kharagpur
- ELLIS Institute Tübingen
- Harvard University
- École Polytechnique Fédérale de Lausanne
- University of Moratuwa
- Pohang University of Science and Technology
- Massachusetts Institute of Technology
- 北京大学
- Ludwig-Maximilians-Universität München
- École Polytechnique
- University of California, Los Angeles
- Virginia Tech
- Emory University
- University of Pennsylvania
- Industrial University of Santander
- Aalto University
- University of Surrey
- Shanghai Jiao Tong University
- West Virginia University
- ETH Zurich
- New York University
- Amazon
- University of Maryland, College Park
- Georgia Institute of Technology
- University of California, Irvine
- Roche
- Johannes Kepler University of Linz
- University of Illinois Urbana-Champaign
- United International University
- National Taiwan University
- University of Southern California
- University of Tübingen
- Indian Institute of Technology Delhi
- Mohamed bin Zayed University of Artificial Intelligence
- Technical University of Munich
- The Chinese University of Hong Kong
- Mila
- University of Delaware
- Korea Advanced Institute of Science and Technology
- Indian Institute of Technology Dhanbad
- Polytechnique Montréal
- Delhi Technological University
- Los Alamos National Laboratory
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of California, Santa Barbara
- INHA University
- Uppsala University
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[PDF]Beyond the Observed: Knowledge-Informed Controllable Augmentation for Few-Shot Class-Incremental Learning
[PDF]PLADOS: A Parameter-free Landing Algorithm for Decentralized Optimization on the Stiefel Manifold
[PDF]UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype Evolution
[PDF]SelectTTRL: Representation-Guided Data Selection for Efficient Test-Time Reinforcement Learning
[PDF]NeuroContext-TTA: Source-Anchored Context Calibration for Cross-Subject EEG Emotion Recognition
[PDF]RuleWeaver: Customizable Stealthiness and Robustness in Backdoor Attacks via Data-Level Rule Compilation
1 If this project is interesting to you, reach out at [email protected].