The COOL (concept-level continual learning) method proceeds in three steps: (1) extract features from visual data, (2) use a separate neural network to extract high-level concepts (such as color and shape in the CLEVR dataset or number recognition in the MNIST dataset), and (3) generate final predictions or decisions based on the constraints of given prior knowledge.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (1)

• artificial neural networks concept