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
Virginia Tech
北京大学
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
Mohamed bin Zayed University of Artificial Intelligence
National Taiwan University
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

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
Virginia Tech
北京大学
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
Mohamed bin Zayed University of Artificial Intelligence
National Taiwan University
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

ICLR 2027sort:activity acceptance volume newest

[PDF]Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data

[PDF]Advanced Pixel Diffusion Model with Guided Sparse Global Refinement

[PDF]When to Rely on a Partner? Reliability based Arbitration for Zero Shot Cooperation with Decision Process Impairment

[PDF]daVinci-Searcher: Eliciting Deep Research Capabilities Data Efficiently

[PDF]Finite-width recurrent kernels: From shared-weight convergence to task-relevant prediction risk and dynamical stability

[PDF]From Single- to Multi-relation: Relation Inconsistency Modeling for Unsupervised Graph Anomaly Detection

[PDF]RGFA: Reliability Guided Feedback Adaptation in Large Language Models via Selective Feedback Utilization

[PDF]ReCall-SLAM: Long-Horizon RGB-D SLAM through Recurring Local Reconstruction

[PDF]LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video Generation

[PDF]Representer Point Selection via Tracking Regularized Gradient Trajectory

[PDF]Safety is Contextual, LLM-Judges are Not: Navigating the Rigid Priors of Evaluators

[PDF]Adaptive Uncertainty-Aware Tree Search for Robust Reasoning

[PDF]Correlation Does Not Certify a Policy Choice: What Benchmarks Should Publish Instead

[PDF]PrismIQA: Capability-Factorized Multi-Agent Image Quality Assessment with Falsification and Region-to-Global Attribution

[PDF]DiD It in 87 Minutes: A Label-Free Softmax-to-Linear Adaptation of Vision Transformers for Object Detection

[PDF]MonoRoute: One Symmetric Low-Rank Search Scales Attention Memory to 1B Tokens

[PDF]Condition-Dependent Probe Calibration in a World Model’s Own Rollouts

[PDF]Probe2Act: Knowing When to Stop Probing Articulated Objects

[PDF]Internalized Skills Need Query-Adaptive Control

[PDF]Capturing Inter-Task Reinforcement Learning Dynamics for Adaptive Task-Sampling

[PDF]Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning

[PDF]FLOWROUTER: EXPERIENCE-GUIDED ROUTING FOR QUERY-ADAPTIVE MULTI-AGENT WORKFLOWS

[PDF]TopoSteer: Topological Layer Selection for Activation Steering in LLMs

[PDF]SupplyNet: Large Language Model-Based Multi-Agent Simulation of Credit Risk Contagion in Supply Chain Networks

[PDF]Auditing Role Collisions in Multimodal Memory Evaluation

[PDF]HHR: Hierarchical Hash Retrieval for Efficient LLM Generation

[PDF]Sequential Bayesian Quadrature with Hilbert space Gaussian processes

[PDF]Construct Before Compose: Preserving Conditional Structure in Representation-Based Bias Mitigation

[PDF]Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models

[PDF]Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

[PDF]BrainDuo: Dual-Domain Tokenization and Pretraining for EEG Foundation Models

[PDF]UBD-Bench: Benchmarking and Analyzing Unimodal Branch Degradation in Multimodal Perception for Autonomous Driving

[PDF]When Acceptable Answers Share Parts, Feedback Helps More

[PDF]Test-time RL alignment exposes task familiarity artifacts in LLM benchmarks

[PDF]ClarifyAct: Learning to Clarify When Needed and Act When Ready

[PDF]Attribution-guided Pruning for Circuit Discovery and Targeted Correction in Language Models

[PDF]RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models

[PDF]THE CONTROL DECIDES THE ANSWER: A MATCHED-OPERATOR NULL FOR EXPLANATION CHANGE UNDER MODEL UPDATES

[PDF]Reflection Pretraining Enables Token-Level Self-Correction in De Novo Peptide Sequencing

[PDF]When Unlearning Is Not the End: Controlled Oracle Recovery Against Federated Unlearning

[PDF]StraTune: Adaptive Selection of Revision Operators for Self-Evolving LLM Skills

[PDF]AWDM: Benchmarking Safe Preparation in Computer-Use Agents under Evolving User Intent

[PDF]Scaling ECG-Language Models to 12 Million Training Examples

[PDF]MuPS: Learning Multiple Physical Solution Branches from Unlabeled Outcomes

[PDF]Distinguishing Repairable Deployment Failures from Vision-Language-Action Failures Before Rollout

[PDF]MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations

[PDF]Unpaired Multimodal Learning with Cross-Modal Self-Supervision

[PDF]MolGrid: Which Chemistry Do Molecular Models Read?

[PDF]LatentFold: Continuous MSA Representations without Discrete Homolog Generation

[PDF]Achieving Robust Channel Estimation Neural Networks on Doppler effects by Designed Training Data

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