Unifying Concept Representation Learning Workshop @ ICLR 2026

Join the Unifying Concept Representation Learning workshop at ICLR 2026 to explore the latest advancements in learning robust concepts in AI.

A new workshop on Unifying Concept Representation Learning (UCRL) is announced at ICLR 2026, focusing on learning robust, semantically meaningful concepts in AI.

The workshop aims to bring together researchers from Neuro-Symbolic Integration (NeSy), Explainable AI (XAI), and Causal Representation Learning (CRL) to address the challenge of learning ‘high-quality’ concepts.

• Foundations of concept representations and learning in XAI, CRL, and NeSy.
• Techniques for learning concepts from various data types and settings.
• Design and evaluation of concept-based XAI techniques and models.
• Applications of concept-based AI systems.
• Metrics for assessing the quality of learned concepts.

Important dates include a paper submission deadline of January 30th, 2026, and the workshop will be held on April 26 or 27, 2026, in Rio de Janeiro, Brazil.

For more details and submission instructions, visit the submission link.

Tags: Concept Representation Learning, ICLR 2026, Neuro-Symbolic Integration, Explainable AI, Causal Representation Learning, AI Research, Machine Learning