Wanzhao Yang

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks

High-order decomposition is a widely used model compression approach towards compact convolutional neural networks (CNNs). However, many of the existing solutions, though can efficiently reduce CNN model sizes, are very difficult to bring considerable saving for computational costs, especially when…