Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

In this paper we propose a novel method that provides contrastive explanations justifying the classification of an input by a black box classifier such as a deep neural network. Given an input we find what should be %necessarily and minimally and sufficiently present (viz. important object pixels in...

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Bibliographische Detailangaben

Hauptverfasser:	Dhurandhar, Amit, Chen, Pin-Yu, Luss, Ronny, Tu, Chun-Chen, Ting, Paishun, Shanmugam, Karthikeyan, Das, Payel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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