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Found 2 papers, 1 papers with code
Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning
We present a new flavor of Variational Autoencoder (VAE) that interpolates seamlessly between unsupervised, semi-supervised and fully supervised learning domains.
Entity Embeddings of Categorical Variables
As entity embedding defines a distance measure for categorical variables it can be used for visualizing categorical data and for data clustering.
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