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
- ETH Zurich
- University of Maryland, College Park
- Pohang University of Science and Technology
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of Illinois Urbana-Champaign
- Amazon
- École Polytechnique Fédérale de Lausanne
- Harvard University
- Los Alamos National Laboratory
- Mila
- Roche
- Technical University of Munich
- The Chinese University of Hong Kong
- University of California, Irvine
- University of Tübingen
- Aalto University
- Delhi Technological University
- ELLIS Institute Tübingen
- Indian Institute of Technology Delhi
- Industrial University of Santander
- INHA University
- New York University
- University of California, Santa Barbara
- University of Pennsylvania
- University of Southern California
- University of Surrey
- Uppsala University
- Virginia Tech
- West Virginia University
[PDF]OCDR: Overlap-Aware Counterfactual Dual-Representation Scoring for Membership Inference in Retrieval-Augmented Generation
[PDF]Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention
[PDF]GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning
[PDF]Causal-EVC: Breaking Emotional Spurious Causality via Spatiotemporal Grounding and Counterfactual Intervention in MLLMs
[PDF]Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
[PDF]Fine-Tuned Judgment Lives in the Weights: In-Context Examples Help Untrained Models and Override Trained Ones
[PDF]Closed-Form Parameter Selection for ADMM and Over-Relaxed ADMM via Spectral Upper-Envelope Analysis
[PDF]Structural Preservation of Data in Implicit Neural Representations via the Implicit Function Theorem
[PDF]PatternMiner: Automated Mathematical Discovery Through LLM-Guided Training and Interpretation of Small Models
[PDF]When Is Low Fidelity Worth Buying? Exact Certificates and Empirical Safeguards for Multi-Fidelity Bayesian Optimization
[PDF]Preserve Content, Disrupt Structure: Patch-Shuffle Counterfactual Distillation for Visual Reasoning
[PDF]Epistemic Forward Models: Learning Predictive States for Action-Conditioned Future Distinguishability
[PDF]SimpleTouch: Can Vision-Language-Action Models Master Contact-Rich Manipulation Without Tactile Policy Pretraining?
[PDF]TraceSIR: A Multi-Agent Critique Framework for Structured Analysis and Reporting of Agentic Execution Traces
1 If this project is interesting to you, reach out at [email protected].