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
[PDF]STaRC: Spectral–Temporal Cross-Prediction and Bayesian Relational Calibration for Cross-Dataset Few-Shot Activity Recognition
[PDF]One Video, Many Viewers: A Benchmark for Persona-Conditioned Video Highlights and Chapter Titles
[PDF]MAX-Cache: Motion-Aligned Activation Reuse with Mismatch-Guided Selective Recomputation for Efficient Autoregressive Video Diffusion
[PDF]Semantic Flashlight: Plan-First Context Construction with Response-Adaptive Evidence Exposure for Deep Research
[PDF]Expert Coupling in MoE Pretraining: Reducing All-to-All Overhead with Correlated Placement and Token Shuffling
[PDF]From Solving Data Tasks to Learning a Data Space: Benchmarking Learning Capabilities of Data Agents
[PDF]Learning Wasserstein-Stable Permutation-Invariant Functions: -Independent Latent Dimension and Sample Complexity
[PDF]ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning
1 If this project is interesting to you, reach out at [email protected].