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Fast Sparse ConvNets


DeepMind: “Fast Sparse ConvNets”, a collaboration w/ @GoogleAI [], 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.

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arxiv: Fast Sparse ConvNets.

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Utku: 6) A common concern is: “But sparse networks are hard to accelerate!”. Check out Fast Sparse ConvNets (📃 which achieves large speedups on mobile CPUs for inference with sparse MobileNets and stay tuned for more!

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Found on Nov 26 2019 at

PDF content of a computer science paper: Fast Sparse ConvNets