dc.contributor.author | Akata, Zeynep | |
dc.date.accessioned | 2020-08-25T15:09:48Z | |
dc.date.available | 2020-08-25T15:09:48Z | |
dc.date.issued | 2019-04-05 | |
dc.identifier.uri | http://hdl.handle.net/10900/105725 | |
dc.language.iso | en | de_DE |
dc.relation.uri | http://dx.doi.org/10.1109/CVPR.2019.00844 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders | de_DE |
dc.type | Article | de_DE |
dc.type | ConferenceObject | de_DE |
utue.personen.roh | Schoenfeld, Edgar | |
utue.personen.roh | Ebrahimi, Sayna | |
utue.personen.roh | Sinha, Samarth | |
utue.personen.roh | Darrell, Trevor | |
utue.personen.roh | Akata, Zeynep | |
dcterms.isPartOf.ZSTitelID | IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) | de_DE |
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