35 citations · 200 across the 11 of their papers we have counts for
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cs.LG2018★ 29 cited
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt, Maxwell I. Nye, Andreea Gane +2
Hierarchical Bayesian methods can unify many related tasks (e.g. k-shot classification, conditional and unconditional generation) as inference within a single generative model. How…
cs.LG2018★ 1 cited
Are Efficient Deep Representations Learnable?
Maxwell Nye, Andrew Saxe
Many theories of deep learning have shown that a deep network can require dramatically fewer resources to represent a given function compared to a shallow network. But a question r…