TVSCM constrains fully connected layers to two-valued symmetric circulant weight matrices, delivering over 80x parameter reduction with accuracy falling from 97.6% to 93.5% on MNIST and 93.1% on MIT-BIH arrhythmia data.
A Case Study of Quantizing Convolutional Neural Networks for Fast Disease Diagnosis on Portable Medical Devices.Sensors, 22(1):219, 2021
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Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning
TVSCM constrains fully connected layers to two-valued symmetric circulant weight matrices, delivering over 80x parameter reduction with accuracy falling from 97.6% to 93.5% on MNIST and 93.1% on MIT-BIH arrhythmia data.