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Unmasking Clever Hans predictors and assessing what machines really learn

Unmasking Clever Hans predictors and assessing what machines really learn

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae85cf785d3645e68f9b5bfe27287566

Unmasking Clever Hans predictors and assessing what machines really learn

About this item

Full title

Unmasking Clever Hans predictors and assessing what machines really learn

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2019-03, Vol.10 (1), p.1096-1096, Article 1096

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 games. This showcases a spectrum of problem-solvi...

Alternative Titles

Full title

Unmasking Clever Hans predictors and assessing what machines really learn

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ae85cf785d3645e68f9b5bfe27287566

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae85cf785d3645e68f9b5bfe27287566

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-019-08987-4

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