Causal Explanation of Convolutional Neural Networks

In this paper we introduce an explanation technique for Convolutional Neural Networks (CNNs) based on the theory of causality by Halpern and Pearl [12]. The causal explanation technique (CexCNN) is based on measuring the filter importance to a CNN decision, which is measured through counterfactual r...

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Bibliographic Details
Published inMachine Learning and Knowledge Discovery in Databases. Research Track Vol. 12976; pp. 633 - 649
Main Author Debbi, Hichem
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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