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KR2ML Workshop - Knowledge Representation & Reasoning Meets Machine Learning
Explore the intersection of knowledge representation and machine learning, focusing on interpretable AI and informed reasoning.
Discover synergies between knowledge and machine learning
This website is dedicated to exploring how knowledge representation and reasoning can enhance machine learning. It focuses on combining symbolic reasoning with data-driven techniques to improve interpretability and reliability in AI results. You can learn about the latest research and discussions at the intersection of these fields.
If you're interested in AI that uses structured knowledge for better decision-making, this site offers valuable insights and workshop information. It’s designed for researchers, students, and practitioners who want to understand how combining knowledge and machine learning can address challenges like explainability and data efficiency.
The site highlights the potential of symbolic approaches to provide verifiable and interpretable reasoning alongside machine learning's strengths. You'll find resources and community connections that help bridge these AI subfields in a collaborative, research-focused environment.
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