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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.
Automated Brain Disorders Diagnosis Through Deep Neural Networks
In most cases, the diagnosis of brain disorders such as epilepsy is slow and requires endless visits to doctors and EEG technicians.
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