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dc.contributor.authorDubey, Abhimanyu
dc.contributor.authorRamanathan, Vignesh
dc.contributor.authorPentland, Alex
dc.contributor.authorMahajan, Dhruv
dc.date.accessioned2022-11-17T17:39:15Z
dc.date.available2022-11-17T17:39:15Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/146525
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CVPR46437.2021.01411en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleAdaptive Methods for Real-World Domain Generalizationen_US
dc.typeArticleen_US
dc.identifier.citationDubey, Abhimanyu, Ramanathan, Vignesh, Pentland, Alex and Mahajan, Dhruv. 2021. "Adaptive Methods for Real-World Domain Generalization." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.relation.journal2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-17T17:28:33Z
dspace.orderedauthorsDubey, A; Ramanathan, V; Pentland, A; Mahajan, Den_US
dspace.date.submission2022-11-17T17:28:35Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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