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W3090762941 abstract "Various Neural Networks employ time-consuming matrix operations like matrix inversion. Many such matrix operations are faster to compute given the Singular Value Decomposition (SVD). Previous work allows using the SVD in Neural Networks without computing it. In theory, the techniques can speed up matrix operations, however, in practice, they are not fast enough. We present an algorithm that is fast enough to speed up several matrix operations. The algorithm increases the degree of parallelism of an underlying matrix multiplication $Hcdot X$ where $H$ is an orthogonal matrix represented by a product of Householder matrices. Code is available at this http URL ." @default.
W3090762941 created "2020-10-08" @default.
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W3090762941 date "2020-09-29" @default.
W3090762941 modified "2023-09-27" @default.
W3090762941 title "What if Neural Networks had SVDs" @default.
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