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
University of Illinois Urbana-Champaign
Birla Institute of Technology and Science, Pilani – Pilani Campus
Pohang University of Science and Technology
West Virginia University
Amazon
École Polytechnique Fédérale de Lausanne
Harvard University
Indian Institute of Technology Delhi
Los Alamos National Laboratory
Massachusetts Institute of Technology
Mila
Roche
Technical University of Munich
The Chinese University of Hong Kong
University of California, Irvine
University of Southern California
University of Tübingen
Aalto University
Delhi Technological University
ELLIS Institute Tübingen
Emory University
Indian Institute of Technology Kharagpur
Industrial University of Santander
INHA University
Ludwig-Maximilians-Universität München
New York University
Polytechnique Montréal
University of California, Los Angeles
University of California, Santa Barbara
University of Moratuwa
University of Pennsylvania
University of Surrey
Uppsala University
Virginia Tech
北京大学

ETH Zurich
University of Maryland, College Park
University of Illinois Urbana-Champaign
Birla Institute of Technology and Science, Pilani – Pilani Campus
Pohang University of Science and Technology
West Virginia University
Amazon
École Polytechnique Fédérale de Lausanne
Harvard University
Indian Institute of Technology Delhi
Los Alamos National Laboratory
Massachusetts Institute of Technology
Mila
Roche
Technical University of Munich
The Chinese University of Hong Kong
University of California, Irvine
University of Southern California
University of Tübingen
Aalto University
Delhi Technological University
ELLIS Institute Tübingen
Emory University
Indian Institute of Technology Kharagpur
Industrial University of Santander
INHA University
Ludwig-Maximilians-Universität München
New York University
Polytechnique Montréal
University of California, Los Angeles
University of California, Santa Barbara
University of Moratuwa
University of Pennsylvania
University of Surrey
Uppsala University
Virginia Tech
北京大学

ICLR 2027sort:activity acceptance volume newest

[PDF]Task-guided Cross-subgraph Topology Learning for Federated Graph Clustering

[PDF]The Price of Reliable Rotary Retrieval: Task Geometry, Shared Spectra, and Minimal Adaptation

[PDF]Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry

[PDF]QVRMem: Query-Time Validation and Reanswering for Evolving Memory

[PDF]How Does Pre-Trained Face Familiarity Affect the Decodability of Identity-Specific EEG Representations?

[PDF]VWS-PFE: Modeling Vertically Weakly Ordered Structures for Pillar-Based 3D Object Detection

[PDF]Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks

[PDF]Beyond Recognition: Benchmarking and Advancing Fine-Grained 3D Object Understanding

[PDF]PADGen: Policy-Adaptive Data Generation for Offline Reinforcement Learning

[PDF]Evolution Only When Needed: Triggered Evolutionary Data Injection for Off-Policy Reinforcement Learning

[PDF]DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data

[PDF]Probing Cross-Branch Compatibility in Unified Multimodal Models through Semantic Steering

[PDF]Mitigating Cross-Modal Hallucinations by Correcting Modality Misrouting in Omnimodal LLMs

[PDF]Bayesian Forecasting of LLM Outputs from Pre-Generation Hidden States

[PDF]SMA-VLA: Proprioception-Conditioned Semantic-Motion Alignment for Vision-Language-Action Models

[PDF]HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models

[PDF]Revealing and Employing Oblique Semantic Geometry in Vision Foundation Models

[PDF]Video Encoders Built on Image Representations

[PDF]ClockBridge: Partial Identification of Cross-Modal Disease Timing across Unpaired Cohorts

[PDF]Improving Reconstruction of Representation Autoencoder

[PDF]Distill Globally, Train Locally: Error-Localized Recovery for 4-bit LLMs

[PDF]Training-Free Transformer Merging via Sequential Local Operator Alignment

[PDF]SCLTrack: Structured Correspondence Learning for Category-Level Garment Pose Tracking

[PDF]Routing Drift Alone Does Not Diagnose Failure in Merged MoE LLMs

[PDF]BridgeComp: Prompt Compression via Reasoning-Conditioned Attention and Anchor-Conditioned Policy Optimization

[PDF]Reliable LLM Provenance via Panic-Pattern Fingerprinting

[PDF]WHEN ATTENTION GEOMETRY SHIFTS: CALIBRATED STRUCTURAL EVALUATION OF VISION TRANSFORMERS

[PDF]R2G-VLA: Risk- and Role-Guided Grounding Correction for Robust VLA Policies

[PDF]DuET-MD: Training-Free Rare-Event Steering for Frozen Molecular Dynamics Surrogates

[PDF]GRAFT: Relational Node Fields for Latent Graph Generation

[PDF]How Do Language Models Use Memory? From Internal Strategy Readout to Adaptive Control

[PDF]Latent Reasoning with Normalizing Flows

[PDF]Robust Multimodal Sentiment Analysis via Calibrated Dynamic Fusion

[PDF]Data-informed Adaptation of Foundation Models for Causal Effect Estimation

[PDF]Look Ahead Together, Act Locally: Learning a Shared Predictive Brain for Multi-Robot Manipulation

[PDF]Do LLMs Really Forget? Hidden-State Leakage in Model Unlearning and How to Fix it

[PDF]Falsify Before You Amplify: Conservative Cross-Fitted Credit for Self-Evolving Language Agents

[PDF]UaRA: Uncertainty-aware Rank Allocation for Parameter-Efficient Fine-Tuning of Diffusion Large Language Models

[PDF]Same Website, Different Implementations: Rethinking Robustness of Web Agents

[PDF]Learning Where to Look: Geometric Multi-Interest Retrieval for Recommender Systems

[PDF]Learned Functional Projection: Learning for Recovery in Implied Volatility Smoothing

[PDF]RELIVE-OR: Retrospective Learning through Integrated Validation of Experience for Operation Research Modelling

[PDF]Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning

[PDF]Catching RLHF Failures before Training

[PDF]Same System, Fewer Measurements: Structured Variational Quantum Linear Solvers

[PDF]Fidelity is Not Enough: Tabular Anomaly Detection under Synthetic Distribution Shift

[PDF]Foreground-Matched Occlusion Controls for Auditing Annotated-Region Sensitivity in Medical VLMs

[PDF]RewardWeaver: Long-Horizon Interactive Learning for Language Agents via Self-Evolving Reward Adaptation

[PDF]Layer-Informed Fine-Tuning in LLMs: Functional Segmentation and Bottleneck Identification

[PDF]Evaluating Any-to-Any Instruction Following with Omni-modal Instruction

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