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 Dhanbad
- Virginia Tech
- University of Surrey
- Mila
- Amazon
- University of Southern California
- Massachusetts Institute of Technology
- Uppsala University
- Indian Institute of Technology Kharagpur
- Georgia Institute of Technology
- 北京大学
- Roche
- West Virginia University
- Ludwig-Maximilians-Universität München
- University of California, Irvine
- Korea Advanced Institute of Science and Technology
- Los Alamos National Laboratory
- University of Pennsylvania
- University of California, Los Angeles
- ELLIS Institute Tübingen
- Aalto University
- University of Moratuwa
- École Polytechnique Fédérale de Lausanne
- University of California, Santa Barbara
- National Taiwan University
- University of Delaware
- Mohamed bin Zayed University of Artificial Intelligence
- Indian Institute of Technology Delhi
- New York University
- Polytechnique Montréal
- University of Maryland, College Park
- INHA University
- Harvard University
- University of Illinois Urbana-Champaign
- ETH Zurich
- Pohang University of Science and Technology
- École Polytechnique
- United International University
- The Chinese University of Hong Kong
- Technical University of Munich
- Johannes Kepler University of Linz
- Delhi Technological University
- Industrial University of Santander
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of Tübingen
- Shanghai Jiao Tong University
- Emory University
[PDF]DualRE-Surv: Dual-Path Complementary Fusion of Representation and Evidence for Multimodal Cancer Survival Prediction
[PDF]Micro-Agent: Mitigating Catastrophic Forgetting in Microscopic Spatial Prediction and Semantic QA through Two-Stage Adaptive Optimization
[PDF]Let Minstrel Tell Your Story: Reconstructing Character Profiles from Descriptions for Role Playing
[PDF]Beyond Safe Demonstrations: Failure-Informed Flow Policies for Offline Safe Reinforcement Learning
[PDF]PedECG: Adult-to-Pediatric ECG Transfer Through Representation Reuse, Target Reinterpretation, and Evidence Validation
[PDF]Auditing Rectangularization in Robust MDPs: Selective Recoupling of Shared Transition Uncertainty
[PDF]Shared Representations, Native Actions: Learning Generalizable Surgical Motion from Heterogeneous Kinematics
[PDF]BRACE: Adversarial and Contrastive Endpoint Regularization for Schrödinger-Bridge Image Enhancement
[PDF]VECPO: View-Equivariant Constrained Policy Optimization for Robust Multi-View Remote Sensing Agricultural Reasoning
[PDF]BitLadder: Bit-Level Selective Loading of the KV Cache for Efficient Long-Context LLM Inference
[PDF]FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Modular Large Language Models
[PDF]Auditing Information Disclosure During Large-Scale Gradient-Based Training via Gradient Uniqueness
[PDF]Pretrain-Then-Calibrate: Enhancing Optimality-Feasibility Tradeoff in Safe Contextual Optimization
[PDF]Audit Certainty Is a Signed Lever: Why a Verifier Calibrated on a Proxy Can Backfire in Deployment
1 If this project is interesting to you, reach out at [email protected].