Variational Lossy Autoencoder

8 Nov 2016Xi ChenDiederik P. KingmaTim SalimansYan DuanPrafulla DhariwalJohn SchulmanIlya SutskeverPieter Abbeel

Representation learning seeks to expose certain aspects of observed data in a learned representation that's amenable to downstream tasks like classification. For instance, a good representation for 2D images might be one that describes only global structure and discards information about detailed texture... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.