Unsupervised Disentangled Representation Learning with Analogical Relations

25 Apr 2018 Zejian Li Yongchuan Tang Yongxing He

Learning the disentangled representation of interpretable generative factors of data is one of the foundations to allow artificial intelligence to think like people. In this paper, we propose the analogical training strategy for the unsupervised disentangled representation learning in generative models... (read more)

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