15.1k citations · 36.9k across the 152 of their papers we have counts for
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stat.ML2015★ 181 cited
The Variational Fair Autoencoder
Christos Louizos, Kevin Swersky, Yujia Li +2
We investigate the problem of learning representations that are invariant to certain nuisance or sensitive factors of variation in the data while retaining as much of the remaining…
stat.ML2015★ 440 cited
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
We investigate a local reparameterizaton technique for greatly reducing the variance of stochastic gradients for variational Bayesian inference (SGVB) of a posterior over model par…