Disentangling factors of variation in deep representations using adversarial training

10 Nov 2016Michael MathieuJunbo ZhaoPablo SprechmannAditya RameshYann LeCun

We introduce a conditional generative model for learning to disentangle the hidden factors of variation within a set of labeled observations, and separate them into complementary codes. One code summarizes the specified factors of variation associated with the labels... (read more)

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