Composability-Centered Convolutional Neural Network Pruning

This work empirically validate that a network composed of pre-trained building blocks not only gives a better initial setting for training, but also allows the training process to converge at a significantly higher accuracy in much less time, and proposes a composability-centered design for CNN network pruning.