Sage Moore

Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks

Optimizing convolutional neural networks for fast inference has recently become an extremely active area of research. One of the go-to solutions in this context is weight pruning, which aims to reduce computational and memory footprint by removing large subsets of the connections in a neural network…