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
- University of Delaware
- Uppsala University
- École Polytechnique Fédérale de Lausanne
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- ELLIS Institute Tübingen
- Aalto University
- West Virginia University
- Massachusetts Institute of Technology
- University of Surrey
- University of Southern California
- University of Pennsylvania
- New York University
- University of Tübingen
- Industrial University of Santander
- Indian Institute of Technology Dhanbad
- Harvard University
- Mila
- Shanghai Jiao Tong University
- Delhi Technological University
- Indian Institute of Technology Kharagpur
- University of California, Irvine
- Pohang University of Science and Technology
- The Chinese University of Hong Kong
- Emory University
- Polytechnique Montréal
- University of California, Santa Barbara
- University of California, Los Angeles
- Ludwig-Maximilians-Universität München
- 北京大学
- Roche
- University of Maryland, College Park
- Technical University of Munich
- INHA University
- Los Alamos National Laboratory
- Virginia Tech
- National Taiwan University
- University of Illinois Urbana-Champaign
- University of Moratuwa
- ETH Zurich
- Mohamed bin Zayed University of Artificial Intelligence
- Indian Institute of Technology Delhi
- United International University
- Amazon
[PDF]LingGS: Decoupling Feed-Forward Geometry Prediction from Camera Tracking for High-Fidelity Gaussian SLAM
[PDF]A Progressive Multi-Stage Multimodal Dataset and Benchmark for Real-World Chinese Emotion Recognition
[PDF]When Reading Is Not Verifying: Executable Audits Decompose Verification Failures in Vision–Language Models
[PDF]DIVE: Unlocking Self-Improvement in Frozen Language Models Through Diversity-Driven Skill Evolution
[PDF]RECAST-PLL: Order-Reliable Partial Label Learning with Random Recasting and Early Ensemble Training
[PDF]Knowing When to Stop: IGP-Bench and the Multi-Agent System GALOIS for the Inverse Galois Problem
[PDF]DualMem-Evo: Dual-Memory Evolution for Replay-Free Continual Adaptation of Vision-Language Models
[PDF]Pinning Visual Paths:Preserving Visual Structure for Ultra-Low-Bit Vision Encoders with Task-Informed Reconstruction
[PDF]Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching
[PDF]Beyond Isolated Clips: Benchmarking Inter-Segment Narrative Continuity in Movie-Level Video Understanding
[PDF]Understanding Reasoning Uncertainty in Workflow Optimization of Self-Evolving Agents: A Stochastic Search Perspective
[PDF]UFO: Learning Universal Frequency Representation with Neural Operator for Time Series Forecasting
[PDF]SpecMAGIC: Specification-Guided Multi-Task Generalization in Multi-Agent Reinforcement Learning
1 If this project is interesting to you, reach out at [email protected].