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Fast Sparse ConvNets

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Nov 26 2019 DeepMind

“Fast Sparse ConvNets”, a collaboration w/ @GoogleAI [https://arxiv.org/abs/1911.09723], implements fast Sparse Matrix-Matrix Multiplication to replace dense 1x1 convolutions in MobileNet architectures. The sparse networks are 66% the size and 1.5-2x faster than their dense equivalents. https://t.co/poDKMzfA4u
2 replies, 486 likes


Nov 26 2019 arxiv

Fast Sparse ConvNets. http://arxiv.org/abs/1911.09723 https://t.co/WJ7fybJZ9a
0 replies, 36 likes


Nov 26 2019 Utku

6) A common concern is: “But sparse networks are hard to accelerate!”. Check out Fast Sparse ConvNets (📃 https://arxiv.org/pdf/1911.09723) which achieves large speedups on mobile CPUs for inference with sparse MobileNets and stay tuned for more! https://t.co/OIyHhD9D7b
1 replies, 18 likes


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