A New Measure of Model Redundancy for Compressed Convolutional Neural Networks

no code implementations • 9 Dec 2021 • Feiqing Huang, Yuefeng Si, Yao Zheng, Guodong Li

While recently many designs have been proposed to improve the model efficiency of convolutional neural networks (CNNs) on a fixed resource budget, theoretical understanding of these designs is still conspicuously lacking.

Tensor Decomposition

Rethinking Compressed Convolution Neural Network from a Statistical Perspective

no code implementations • 1 Jan 2021 • Feiqing Huang, Yuefeng Si, Guodong Li

Many designs have recently been proposed to improve the model efficiency of convolutional neural networks (CNNs) at a fixed resource budget, while there is a lack of theoretical analysis to justify them.

Tensor Decomposition