Search Results for author: Amy Nesky

Found 2 papers, 0 papers with code

Generating Artificial Core Users for Interpretable Condensed Data

no code implementations6 Feb 2021 Amy Nesky, Quentin F. Stout

Since Core Users substantially shrink a ratings dataset without much loss of information, they can be used to improve recommendation efficiency.

Clustering

Neural Networks with Block Diagonal Inner Product Layers

no code implementations ICLR 2018 Amy Nesky, Quentin Stout

We make contributions to this issue by considering a modified version of the fully connected layer we call a block diagonal inner product layer.

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