Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization

no code implementations • 7 Dec 2021 • Bo-Shiuan Chu, Che-Rung Lee

Tensor decomposition is one of the fundamental technique for model compression of deep convolution neural networks owing to its ability to reveal the latent relations among complex structures.

Model Compression Tensor Decomposition