301 citations · 401 across the 8 of their papers we have counts for
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cs.LG2019★ 6 cited
Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning
Felix Berkhahn, Richard Keys, Wajih Ouertani +2
We present a new flavor of Variational Autoencoder (VAE) that interpolates seamlessly between unsupervised, semi-supervised and fully supervised learning domains. We show that unla…
cs.LG2016★ 301 cited
Entity Embeddings of Categorical Variables
Cheng Guo, Felix Berkhahn
We map categorical variables in a function approximation problem into Euclidean spaces, which are the entity embeddings of the categorical variables. The mapping is learned by a ne…