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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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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Lapuschkin, Sebastian, Wäldchen, Stephan, Binder, Alexander, Montavon, Grégoire, Samek, Wojciech, Müller, Klaus-Robert
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
Assuntos:
Acesso em linha: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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