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Unmasking Clever Hans predictors and assessing what machines really learn

Current learning machines have successfully solved hard application problems, reaching high accuracy and displaying seemingly intelligent behavior. Here we apply recent techniques for explaining decisions of state-of-the-art learning machines and analyze various tasks from computer vision and arcade...

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Détails bibliographiques
Publié dans:Nat Commun
Auteurs principaux: Lapuschkin, Sebastian, Wäldchen, Stephan, Binder, Alexander, Montavon, Grégoire, Samek, Wojciech, Müller, Klaus-Robert
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6411769/
https://ncbi.nlm.nih.gov/pubmed/30858366
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-08987-4
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