Search Results for author: Andrea Gane

Found 1 papers, 0 papers with code

The Variational Homoencoder: Learning to Infer High-Capacity Generative Models from Few Examples

no code implementations ICLR 2018 Luke Hewitt, Andrea Gane, Tommi Jaakkola, Joshua B. Tenenbaum

Hierarchical Bayesian methods have the potential to unify many related tasks (e. g. k-shot classification, conditional, and unconditional generation) by framing each as inference within a single generative model.

General Classification

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