Concept Representation Learning with Contrastive Self-Supervised Learning

Concept-oriented deep learning (CODL) is a general approach to meet the future challenges for deep learning: learning with little or no external supervision, coping with test examples that come from a different distribution than the training examples, and integrating deep learning with symbolic AI.