Structured Probabilistic Pruning for Convolutional Neural Network Acceleration

A novel progressive parameter pruning method, named Structured Probabilistic Pruning (SPP), which effectively prunes weights of convolutional layers in a probabilistic manner and can be directly applied to accelerate multi-branch CNN networks, such as ResNet, without specific adaptations.