Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
A concept-based classifier can explain the decision process of a deep learning model by human-understandable concepts in image classification problems. However, sometimes concept-based explanations may cause false positives, which misregards unrelated concepts as important for the prediction task. Our goal is to find the statistically significant c...
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Full title
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
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TN_cdi_proquest_journals_2821493084
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2821493084
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2305.18362
