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In this study, we use a self-explaining neural network (SENN), which learns unsupervised concepts, to acquire concepts that are easy for people to understand automatically.
Gradient-based learning applied to document recognition
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Learning multiple layers of features from tiny images. master’s thesis, university of tronto, 2009
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Concept bottleneck models
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang · 2020
Cited alongside, same era.
https://en.wikipedia.org/wiki/Concept
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Concept bottleneck model with additional unsupervised concepts
Yoshihide Sawada and Keigo Nakamura · 2022
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