Full papers
Novel, unpublished work submitted in double-blind format using the ICLR LaTeX template, up to 6 pages including main results, figures, and tables; appendices allowed but not reviewed.
Machine Learning/CORE Unranked
UCRL@ICLR2026 2026
ICLR 2026 Workshop on Unifying Concept Representation Learning
The UCRL @ ICLR 2026 workshop brings together researchers from Neuro-Symbolic Integration (NeSy), Explainable AI (XAI), and Causal Representation Learning (CRL) to address the unified challenge of learning high-quality, semantically meaningful concepts. The workshop aims to bridge independent research tracks by fostering collaboration on concept representation learning, evaluation, and applications in reasoning, causality, and human-AI interaction.
Key deadlines
Verified September 9, 2026Full paper
February 4, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 4, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Foundations and Techniques
Foundations of concept representations and learning in XAI, CRL and NeSySupervised and unsupervised techniques for learning concepts from observational and interventional data, raw inputs, and pre-trained embeddingsTechniques for learning concepts in non-standard settings, e.g., causal abstraction
02
XAI and Model Design
Design and evaluation of concept-based XAI techniques and self-explainable concept-based modelsInteractive human-machine concept acquisition and alignment
03
Applications and Evaluation
Applications of concept-based AI systems, including but not limited to, reasoning, causality, formal verification, interactive learning, and explainabilityMetrics and evaluation techniques for assessing the quality of learned concepts, with a focus on down-stream applications
Policies worth checking twice
- Submissions must be double-blind.
- Papers must be formatted using the ICLR LaTeX template.
- Papers are limited to 6 pages, including all main results, figures, and tables.
- Appendices are allowed but reviewers are not expected to consider them.
- Work previously appeared in non-archival venues (e.g., arXiv or non-proceeding workshops) is allowed.
- The workshop is non-archival; dual submission to archival venues (e.g., NeurIPS) is permitted if not under review elsewhere at the same time.
- Submissions must present novel, unpublished work.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026