Web: http://arxiv.org/abs/2209.11222

Sept. 23, 2022, 1:12 a.m. | Jonathan Crabbé, Mihaela van der Schaar

cs.LG updates on arXiv.org arxiv.org

Concept-based explanations permit to understand the predictions of a deep
neural network (DNN) through the lens of concepts specified by users. Existing
methods assume that the examples illustrating a concept are mapped in a fixed
direction of the DNN's latent space. When this holds true, the concept can be
represented by a concept activation vector (CAV) pointing in that direction. In
this work, we propose to relax this assumption by allowing concept examples to
be scattered across different clusters in …

arxiv concept framework

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