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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Detalles Bibliográficos
Autores principales: Lapuschkin, Sebastian, Wäldchen, Stephan, Binder, Alexander, Montavon, Grégoire, Samek, Wojciech, Müller, Klaus-Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411769/
https://www.ncbi.nlm.nih.gov/pubmed/30858366
http://dx.doi.org/10.1038/s41467-019-08987-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411769/
https://www.ncbi.nlm.nih.gov/pubmed/30858366
http://dx.doi.org/10.1038/s41467-019-08987-4

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