3.7k citations · 25.2k across the 137 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 8 cited
A hierarchical loss and its problems when classifying non-hierarchically
Cinna Wu, Mark Tygert, Yann LeCun
Failing to distinguish between a sheepdog and a skyscraper should be worse and penalized more than failing to distinguish between a sheepdog and a poodle; after all, sheepdogs and…
cs.LG2017★ 38 cited
Adversarially Regularized Autoencoders
Jake Zhao, Yoon Kim, Kelly Zhang +2
Deep latent variable models, trained using variational autoencoders or generative adversarial networks, are now a key technique for representation learning of continuous structures…