Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs

Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache

Unstructured pruning is well suited to reduce the memory footprint of convolutional neural networks (CNNs), both at training and inference time. CNNs contain parameters arranged in…