10 citations · 40 across the 15 of their papers we have counts for
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cs.LG2018★ 3 cited
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models
Daniel T. Chang
Latent representations are the essence of deep generative models and determine their usefulness and power. For latent representations to be useful as generative concept representat…
cs.LG2018
Concept-Oriented Deep Learning: Generative Concept Representations
Daniel T. Chang
Generative concept representations have three major advantages over discriminative ones: they can represent uncertainty, they support integration of learning and reasoning, and the…
cs.AI2018
Concept-Oriented Deep Learning
Daniel T Chang
Concepts are the foundation of human deep learning, understanding, and knowledge integration and transfer. We propose concept-oriented deep learning (CODL) which extends (machine)…