Aizhan Ibraimova

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

We propose a novel approach to reduce the computational cost of evaluation of convolutional neural networks, a factor that has hindered their deployment in low-power devices such as mobile phones. Inspired by the loop perforation technique from source code optimization, we speed up the bottleneck co…