Improving ensemble distillation with weight averaging and diversifying perturbation

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dc.contributor.authorNam, Giungko
dc.contributor.authorLee, Hyungiko
dc.contributor.authorHeo, Byeonghoko
dc.contributor.authorLee, Juhoko
dc.date.accessioned2022-12-07T12:02:14Z-
dc.date.available2022-12-07T12:02:14Z-
dc.date.created2022-12-02-
dc.date.created2022-12-02-
dc.date.created2022-12-02-
dc.date.issued2022-07-17-
dc.identifier.citationThe 39th International Conference on Machine Learning, ICML 2022-
dc.identifier.urihttp://hdl.handle.net/10203/302035-
dc.languageEnglish-
dc.publisherInternational Conference on Machine Learning-
dc.titleImproving ensemble distillation with weight averaging and diversifying perturbation-
dc.typeConference-
dc.identifier.wosid000900064906021-
dc.identifier.scopusid2-s2.0-85140885981-
dc.type.rimsCONF-
dc.citation.publicationnameThe 39th International Conference on Machine Learning, ICML 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationBaltimore, Maryland-
dc.contributor.localauthorLee, Juho-
dc.contributor.nonIdAuthorHeo, Byeongho-
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AI-Conference Papers(학술대회논문)
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