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

Join traders from

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

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

ICLR 2027sort:activity acceptance volume newest

[PDF]Token-Level Model Blending and AI-Generated Text Detection: Separating Model Switching from the Generation Loop

[PDF]FactorGraph-RLVR: Diagnosing Reward Informativeness in Factorized Visual Reasoning Curricula

[PDF]FedTeas: Federated Learning via Teacher Distillation and Sharpness-Aware Minimization

[PDF]FIDE: Fiber-Informed Differentiable Experimental Design for Reference-Relative Law Dynamics

[PDF]AVL-JEPA: PREVENTING CAUSAL DYNAMICS INFORMATION COLLAPSE IN JOINT EMBEDDING PREDICTIVE ARCHITECTURE WORLD MODELS

[PDF]VANTAGE-Bench: Evaluating the Infrastructure AI Gap in Vision-Language Models

[PDF]OmniVBench: A Benchmark and Large-Scale Dataset for Omni Reference-to-Video Generation

[PDF]Generative AI floods and dilutes the market for books

[PDF]PAVES: Prior-Guided Dataset Compilation for Effective Training and Scalable Expansion

[PDF]Performative Submodular Decision Making

[PDF]Agent-NASCD: Efficient and Reliable Agentic Architecture Search for Cognitive Diagnosis

[PDF]Blame Errant Words, Not the Canvas: Defect-Aware Spatial Credit Assignment for Visual Text Generation

[PDF]BLUE: Benchmarks, Let Us Evolve with Agent

[PDF]Quality Signal Is Already There: Training-Free Cross-Domain IQA by Amplifying Latent Quality Direction in Frozen CLIP

[PDF]CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents

[PDF]FERA: Forecast-Conditioned Error Representations for Data Assimilation

[PDF]SCALING TRANSFERABLE BEHAVIORAL REPRESENTATIONS: BRIDGE THE SEMANTIC GAP FROM NEXTEVENT PREDICTION TO DOWNSTREAM TASKS

[PDF]Vox-Infinity: Benchmarking the Limits of Long-Context Spoken Language Models

[PDF]From Re-expression to Retention: A Framework for Understanding Forgetting

[PDF]ChronoGuide: Training-Free Temporal Control for Video Generation via Cross-State Attention

[PDF]When Aggregate Accuracy Does Not Identify Functional Change: Sharp Bounds on AV-LLM Adaptation Effects

[PDF]TraSNav: Transient-Sound-Aware Audio-Visual Navigation

[PDF]From Compact Summaries to Usable Memory: A Calibration Law for Finite-State Computation

[PDF]GreedyBM: Greedy Utility Discovery for Automated Modeling of Human Strategic Behavior

[PDF]DIAL: Aligning Local Gradients and Global Transport for Few-Shot Offline Optimization

[PDF]WAS-LoRA: Output-Sensitive Subspace Selection for Post-Training LoRA Compression

[PDF]Scaling works in biology if you use latents

[PDF]Turn-Level Critic Guidance for Training and Inference in Terminal Agents

[PDF]Episodic Context Memory: Patient-State Adaptation for Longitudinal Cardiovascular Monitoring

[PDF]ForkPRM: Learning Embodied Process Verifiers from Executable Counterfactuals

[PDF]Inside the Scaling of Riemannian Flow Language Models: Geometry, Generation, and Conditioning

[PDF]Unlocking Training-Free Continuous Attribute Control in Text-to-Image Diffusion Transformers via M-Space

[PDF]Neurons as Worlds: Learning Adaptive Mesoscopic Dynamics from Particles

[PDF]Covariance-Aware Scoring: A Geometric Correction for Vision-Language Test-Time Adaptation

[PDF]A Comparative Analysis of Attention versus State-Space Models for In-Context Learning

[PDF]Align Then Reason: A Multimodal Lip-Sync Judge for Dubbing

[PDF]There is No Theoretical Curse of Multilinguality For Embedding Space Structure

[PDF]WAVEALIGN: Wavelet-Based Alignment for Training-Free High-Resolution Image Generation

[PDF]Variational Atlas Autoencoders and Self-Supervised Chart Selection

[PDF]On-Demand Hash Expansion for Growing Cross-Modal Databases

[PDF]Mechanistic Interpretability Findings That Generalize: Chaperone-Dependent Folding in ESMFold2

[PDF]TAG4D-SLAM: Track-Anchored 4D Gaussian SLAM with Feed-Forward Priors

[PDF]TDAP: Temporal and Dependency Aware Pruning for Spiking Neural Networks

[PDF]PACT-VLA: Speculative Action-Chunk Verification with Pre-Commit Observations

[PDF]Visual Tokenization with Latent Anchored Binary Quantization

[PDF]Understanding How Inference Shapes Weight Updates in Predictive Coding: From Label Noise to the State-to-Weight Interface

[PDF]Are In-Context Images Worth 10 Dimensions?

[PDF]CHARM: Probabilistic Forecasting with Uncertain Historical Context

[PDF]TopoMind: Unifying Lane Topology Reasoning and Understanding on Driving Scenes

[PDF]Musec: MomentUm SpEctral Clipping for Stable Muon-type Training

¹ If this project is interesting to you, reach out at [email protected].