Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples

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dc.contributor.authorLee, Kiminko
dc.contributor.authorLee, Kibokko
dc.contributor.authorLee, Honglakko
dc.contributor.authorShin, Jinwooko
dc.date.accessioned2018-12-20T07:37:07Z-
dc.date.available2018-12-20T07:37:07Z-
dc.date.created2018-12-17-
dc.date.created2018-12-17-
dc.date.created2018-12-17-
dc.date.created2018-12-17-
dc.date.issued2018-05-01-
dc.identifier.citation6th International Conference on Learning Representations, ICLR 2018-
dc.identifier.urihttp://hdl.handle.net/10203/248570-
dc.languageEnglish-
dc.publisher6th International Conference on Learning Representations, ICLR 2018-
dc.titleTraining Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85083952599-
dc.type.rimsCONF-
dc.citation.publicationname6th International Conference on Learning Representations, ICLR 2018-
dc.identifier.conferencecountryCN-
dc.identifier.conferencelocationVancouver Convention Center-
dc.contributor.localauthorLee, Kimin-
dc.contributor.localauthorShin, Jinwoo-
dc.contributor.nonIdAuthorLee, Kibok-
dc.contributor.nonIdAuthorLee, Honglak-
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AI-Conference Papers(학술대회논문)
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