44 citations · 55 across the 8 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2022★ 2 cited
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
Syed Asad Alam, Andrew Anderson, Barbara Barabasz +1
Convolutional neural networks (CNNs) have dramatically improved the accuracy of tasks such as object recognition, image segmentation and interactive speech systems. CNNs require la…
cs.CV2017★ 44 cited
Low-memory GEMM-based convolution algorithms for deep neural networks
Andrew Anderson, Aravind Vasudevan, Cormac Keane +1
Deep neural networks (DNNs) require very large amounts of computation both for training and for inference when deployed in the field. A common approach to implementing DNNs is to r…