Quantitative Attributions with Counterfactuals
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Overview
QuAC is a tool for understanding the sometimes subtle differences between classes of images, by questioning a classifier’s decisions. The method generates counterfactual images: making slight changes in an image to change its classification. The counterfactuals in QuAC have localized changes, and are quantitatively scored to determine how well they describe the classifier’s decision.
