Explainable Observer-Classifier for Explainable Binary Decisions

5 Feb 2019 Stephan Alaniz Zeynep Akata

Explanations help develop a better understanding of the rationale behind the predictions of a deep neural network and improve trust. We propose an explainable observer-classifier framework that exposes the steps taken through the decision-making process in a transparent manner... (read more)

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