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