572 citations · 788 across the 31 of their papers we have counts for
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A Generative Model of Words and Relationships from Multiple Sources
Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch
Neural language models are a powerful tool to embed words into semantic vector spaces. However, learning such models generally relies on the availability of abundant and diverse tr…
Bayesian representation learning with oracle constraints
Theofanis Karaletsos, Serge Belongie, Gunnar Rätsch
Representation learning systems typically rely on massive amounts of labeled data in order to be trained to high accuracy. Recently, high-dimensional parametric models like neural…
Automatic Relevance Determination For Deep Generative Models
Theofanis Karaletsos, Gunnar Rätsch
A recurring problem when building probabilistic latent variable models is regularization and model selection, for instance, the choice of the dimensionality of the latent space. In…