Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias

16 Oct 2019Jacob PfauAlbert T. YoungMaria L. WeiMichael J. Keiser

In high-stakes applications of machine learning models, interpretability methods provide guarantees that models are right for the right reasons. In medical imaging, saliency maps have become the standard tool for determining whether a neural model has learned relevant robust features, rather than artefactual noise... (read more)

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