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Inducing and Exploiting Activation Sparsity for Fast Neural Network Inference

Proceedings of the International Conference on Machine Learning, (2020)

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Abstract

Optimizing deep neural networks for inference has recently become an extremely active area of research. One of the go-to solutions in this context is weight pruning, which aims to reduce computational and memory footprint by removing large subsets of the connections in a neural network. Surprisingly, much less attention has been given to ...More

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Author
Mark Kurtz
Mark Kurtz
Justin Kopinsky
Justin Kopinsky
Rati Gelashvili
Rati Gelashvili
Alexander Matveev
Alexander Matveev
John Carr
John Carr
Michael Goin
Michael Goin
William Leiserson
William Leiserson
Sage Moore
Sage Moore
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