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
- Los Alamos National Laboratory
- The Chinese University of Hong Kong
- University of Moratuwa
- University of California, Los Angeles
- University of California San Diego
- Technical University of Munich
- University of Southern California
- École Polytechnique
- Mohamed bin Zayed University of Artificial Intelligence
- Amazon
- Delhi Technological University
- University of California, Berkeley
- INHA University
- University of Illinois Urbana-Champaign
- Indian Institute of Technology Dhanbad
- National Taiwan University
- Johannes Kepler University of Linz
- Pohang University of Science and Technology
- Korea Advanced Institute of Science and Technology
- University of Delaware
- ELLIS Institute Tübingen
- Georgia Institute of Technology
- École Polytechnique Fédérale de Lausanne
- Indian Institute of Technology Kharagpur
- ETH Zurich
- École Nationale Supérieure de Techniques Avancées
- 北京大学
- West Virginia University
- Polytechnique Montréal
- University of California, Irvine
- United International University
- Roche
- University of Surrey
- Boston University
- Shanghai Jiao Tong University
- University of California, Santa Barbara
- Carnegie Mellon University
- University of Pennsylvania
- Virginia Tech
- Inria
- Uppsala University
- Industrial University of Santander
- Massachusetts Institute of Technology
- Aalto University
- Indian Institute of Technology Delhi
- University of Tübingen
- University of Maryland, College Park
- New York University
- Mila
- Stanford University
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of Wisconsin–Madison
- Ludwig-Maximilians-Universität München
- Harvard University
- Emory University
[PDF]An Anchored Policy Regularizer for Deep Constrained Multi-Agent Reinforcement Learning under Tight Cost Budgets
[PDF]Geometry-aware Multiple Instance Learning via a Shared Riemannian Metric for Few-Shot Whole-Slide Image Classification
[PDF]Breaking the Refusal Barrier: Stochastic Discovery of Residual Unsafe Behaviors in Aligned Language Models
[PDF]VerdictGS: Views as Noisy Annotators for Query-Time Open-Vocabulary Gaussian Splatting Segmentation
[PDF]Inlay: Accelerating Position-Independent KV Caching with Sparse Repairs and Shared Decode Kernels
[PDF]Collective Wisdom: On-Policy Self-Distillation with Synergistic Multi-Perspective Teacher Policy Fusion
[PDF]Towards a General Humanoid Loco-Manipulation Model via Egocentric Whole-Body Human Data Pretraining
[PDF]Small-Large Collaboration: Training-efficient Concept Personalization for Large VLM using a Meta Personalized Small VLM
[PDF]When Do Models Admit They Are Wrong? Failure Disclosure Is Unstable Under Reinforcement Learning
1 If this project is interesting to you, reach out at [email protected].