1.3k citations · 4.9k across the 14 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016★ 251 cited
Disentangling factors of variation in deep representations using adversarial training
Michael Mathieu, Junbo Zhao, Pablo Sprechmann +2
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 c…
cs.LG2016★ 893 cited
Energy-based Generative Adversarial Network
Junbo Zhao, Michael Mathieu, Yann LeCun
We introduce the "Energy-based Generative Adversarial Network" model (EBGAN) which views the discriminator as an energy function that attributes low energies to the regions near th…