There and back again: revisiting backpropagation saliency methods

Saliency methods seek to explain the predictions of a model by producing an importance map across each input sample. A popular class of such methods is based on backpropagating a signal and analyzing the resulting gradient. Despite much research on such methods, relatively little work has been done...

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Príomhchruthaitheoirí: Rebuffi, S-A, Fong, R, Ji, X, Vedaldi, A
Formáid: Conference item
Teanga:English
Foilsithe / Cruthaithe: IEEE 2020

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