Improving Fair Training under Correlation Shifts

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 101
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorRoh, Yujiko
dc.contributor.authorLee, Kangwookko
dc.contributor.authorWhang, Steven Euijongko
dc.contributor.authorSuh, Changhoko
dc.date.accessioned2023-08-10T02:00:20Z-
dc.date.available2023-08-10T02:00:20Z-
dc.date.created2023-05-25-
dc.date.created2023-05-25-
dc.date.issued2023-07-25-
dc.identifier.citationInternational Conference on Machine Learning, ICML2023-
dc.identifier.urihttp://hdl.handle.net/10203/311371-
dc.languageEnglish-
dc.publisherInternational Machine Learning Society-
dc.titleImproving Fair Training under Correlation Shifts-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameInternational Conference on Machine Learning, ICML2023-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationHonolulu, Hawaii-
dc.contributor.localauthorWhang, Steven Euijong-
dc.contributor.localauthorSuh, Changho-
dc.contributor.nonIdAuthorLee, Kangwook-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0