Full Papers
Original research contributions with comprehensive analysis and evaluation.
Machine Learning/CORE Unranked
EIML@ICML 2026
ICML 2026 Workshop: Epistemic Intelligence in Machine Learning
EIML@ICML 2026 is a workshop affiliated with ICML 2026 focused on the intersection of explainable AI and machine learning, aiming to foster research that enhances the interpretability, transparency, and trustworthiness of machine learning models. The workshop welcomes contributions from academia and industry that advance methods for explaining model behavior and decision-making processes.
Key deadlines
Verified September 9, 2026Full paper
April 27, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
April 27, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Preliminary results, position papers, or work-in-progress with clear insights.
Journal-First Papers
Extended versions of papers recently accepted in peer-reviewed journals.
Research areas in scope
01
Topics of Interest
Explainable AI (XAI) methods for deep learningInterpretability of generative modelsCausal explanations in machine learningHuman-in-the-loop explainabilityEvaluation metrics for explainabilityExplainability in reinforcement learningFairness and accountability through explainabilityVisualization techniques for model interpretationExplainability for high-stakes domains (e.g., healthcare, finance)Benchmarking and datasets for explainable ML
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 8 pages, short papers to 4 pages, excluding references.
- Dual submission to other conferences or journals is not allowed during review.
- Author lists and affiliations may not be changed after the submission deadline.
- Authors must include a statement on the use of AI-assisted tools in the submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026