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
- Korea Advanced Institute of Science and Technology
- University of Moratuwa
- Ludwig-Maximilians-Universität München
- University of California, Santa Barbara
- INHA University
- Virginia Tech
- Emory University
- University of Delaware
- Uppsala University
- Technical University of Munich
- University of Surrey
- ELLIS Institute Tübingen
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- University of Illinois Urbana-Champaign
- Shanghai Jiao Tong University
- 北京大学
- Mila
- Industrial University of Santander
- Amazon
- École Polytechnique Fédérale de Lausanne
- University of Southern California
- Indian Institute of Technology Kharagpur
- ETH Zurich
- Los Alamos National Laboratory
- Georgia Institute of Technology
- University of California, Los Angeles
- The Chinese University of Hong Kong
- Mohamed bin Zayed University of Artificial Intelligence
- National Taiwan University
- United International University
- Indian Institute of Technology Dhanbad
- Aalto University
- Delhi Technological University
- West Virginia University
- École Nationale Supérieure de Techniques Avancées
- University of Tübingen
- University of Pennsylvania
- University of Maryland, College Park
- New York University
- Massachusetts Institute of Technology
- École Polytechnique
- Johannes Kepler University of Linz
- Pohang University of Science and Technology
- University of California, Irvine
- Polytechnique Montréal
- Roche
- Harvard University
- Indian Institute of Technology Delhi
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[PDF]Multimodal Learning with Missing Modalities via Multi-Level Alignment for Drug–Target Affinity Prediction
[PDF]When New Experiments Arrive: An Evidence-adjudicated Self-correction Framework for Virtual Cells
[PDF]Capability Cards for Compiling Feature Interfaces between Heterogeneous, Independently Trained Collaborative Perception Systems
[PDF]ProFiNER: Progressive Entity Calibration and Conflict-Aware Inference for Zero-Shot Named Entity Recognition
[PDF]SPECTRA-Gaze: Gaze Target Estimation via Head-Conditioned Spectral Modulation and Reliability-Aware Heatmap Refinement
[PDF]BCAR: Budgeted Concave Adaptive Retention for Query-Aware Context Compression in Long-Running Agents
[PDF]Are Your Agents Ready to Evolve? Assessing Evolution-Readiness in Agents Through Paired Safety and Utility Scoring
[PDF]Low Correlation Is Not Separation: What Gradient Isolation Delivers for Epistemic and Aleatoric Uncertainty
[PDF]Beyond Reverse Denoising: Efficiently Detecting Time Series Anomalies through Prototype-Guided Diffusion Inversion
[PDF]CrossAnchor: Image-Anchored Text Optimization Exposes Blind Spots in Multi-line Defenses of Agentic Systems
[PDF]PerfDiag: An Execution-Free Benchmark for Diagnosing Performance Regressions in AI Infrastructure
1 If this project is interesting to you, reach out at [email protected].