JADE: Joint Autoencoders for Dis-Entanglement

24 Nov 2017Ershad BanijamaliAmir-Hossein KarimiAlexander WongAli Ghodsi

The problem of feature disentanglement has been explored in the literature, for the purpose of image and video processing and text analysis. State-of-the-art methods for disentangling feature representations rely on the presence of many labeled samples... (read more)

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