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dc.contributor.authorSchwettmann, Sarah
dc.contributor.authorHernandez, Evan
dc.contributor.authorBau, David
dc.contributor.authorKlein, Samuel
dc.contributor.authorAndreas, Jacob
dc.contributor.authorTorralba, Antonio
dc.date.accessioned2022-07-22T17:31:43Z
dc.date.available2022-07-22T17:31:43Z
dc.date.issued2021-10
dc.identifier.urihttps://hdl.handle.net/1721.1/143995
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/iccv48922.2021.00673en_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.titleToward a Visual Concept Vocabulary for GAN Latent Spaceen_US
dc.typeArticleen_US
dc.identifier.citationSchwettmann, Sarah, Hernandez, Evan, Bau, David, Klein, Samuel, Andreas, Jacob et al. 2021. "Toward a Visual Concept Vocabulary for GAN Latent Space." 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journal2021 IEEE/CVF International Conference on Computer Vision (ICCV)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.updated2022-07-22T17:27:19Z
dspace.orderedauthorsSchwettmann, S; Hernandez, E; Bau, D; Klein, S; Andreas, J; Torralba, Aen_US
dspace.date.submission2022-07-22T17:27:34Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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