25 citations · 53 across the 4 of their papers we have counts for
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cs.CV2020★ 7 cited
Debugging Tests for Model Explanations
Julius Adebayo, Michael Muelly, Ilaria Liccardi +1
We investigate whether post-hoc model explanations are effective for diagnosing model errors--model debugging. In response to the challenge of explaining a model's prediction, a va…
cs.CV2020★ 19 cited
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Nishanth Arun, Nathan Gaw, Praveer Singh +10
Saliency maps have become a widely used method to make deep learning models more interpretable by providing post-hoc explanations of classifiers through identification of the most…