2019
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling
ICASSP 2019accepted
Although the convolutional neural networks (CNNs) have become popular for various image processing and computer vision tasks recently, it remains a challenging problem to reduce the storage cost of the parameters for resource-limited platforms. In the previous studies, tensor decomposition (TD) has…