AUC of the explanation sensitivity curves when increasing the perturbation radius . The lower, the better.

AUC of the explanation sensitivity curves when increasing the perturbation radius . The lower, the better.

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Deep learning methods are highly accurate, yet their opaque decision process prevents them from earning full human trust. Concept-based models aim to address this issue by learning tasks based on a set of human-understandable concepts. However, state-of-the-art concept-based models rely on high-dimensional concept embedding representations which la...

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... Table 3, we report the results of the sensitivity analysis comparing DCR with interpretable models and local post-hoc explainers. More precisely, we report the area under the sensitivity curves of Figure 4, when increasing the perturbation radius. ...

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