ConceptExplainer : Interactive Explanation for Deep Neural Networks from a Concept Perspective

Traditional deep learning interpretability methods which are suitable for model users cannot explain network behaviors at the global level and are inflexible at providing fine-grained explanations. As a solution, concept-based explanations are gaining attention due to their human intuitiveness and t...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - PP(2022) vom: 26. Sept.
1. Verfasser:	Huang, Jinbin (VerfasserIn)
Weitere Verfasser:	Mishra, Aditi, Kwon, Bum Chul, Bryan, Chris
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article