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Found 2 papers, 2 papers with code
DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers
DYAD is based on a bespoke near-sparse matrix structure which approximates the dense "weight" matrix W that matrix-multiplies the input in the typical realization of such a layer, a. k. a DENSE.
Enhanced Variational Inference with Dyadic Transformation
Variational autoencoder is a powerful deep generative model with variational inference.
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