3 papers
cs.LG2020
Optimizing Grouped Convolutions on Edge Devices
Perry Gibson, José Cano, Jack Turner +3
When deploying a deep neural network on constrained hardware, it is possible to replace the network's standard convolutions with grouped convolutions. This allows for substantial m…
cs.LG2020
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs
Valentin Radu, Kuba Kaszyk, Yuan Wen +6
Convolutional Neural Networks (CNN) are becoming a common presence in many applications and services, due to their superior recognition accuracy. They are increasingly being used o…
cs.LG2019
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
Jack Turner, Elliot J. Crowley, Michael O'Boyle +2
The desire to map neural networks to varying-capacity devices has led to the development of a wealth of compression techniques, many of which involve replacing standard convolution…