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01/25/2022
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
Convolutional neural networks (CNNs) have dramatically improved the accu...
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04/23/2020
Quantaized Winograd/Toom-Cook Convolution for DNNs: Beyond Canonical Polynomials Base
The problem how to speed up the convolution computations in Deep Neural ...
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05/13/2019
Winograd Convolution for DNNs: Beyond linear polinomials
We investigated a wider range of Winograd family convolution algorithms ...
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03/29/2018
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks
Modern deep neural networks (DNNs) spend a large amount of their executi...
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03/29/2018