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acmmm_tamp

Bingchen Gong, Brendan Jou, Felix Yu, Shih-Fu Chang. Tamp: A Library for Compact Deep Neural Networks with Structured Matrices. In ACM International Conference on Multimedia, Amsterdam, The Netherlands, 2016.

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Abstract

We introduce Tamp, an open source C++ library for reducing the space and time costs of deep neural network models. In particular, Tamp implements several recent works which use structured matrices to replace unstructured matrices which are often bottlenecks in neural networks. Tamp is also designed to serve as a unified development platform with several supported optimization back-ends and abstracted data types. This paper introduces the design and API and also demonstrates the eff ectiveness with experiments on public datasets

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Brendan Jou
FelixX. Yu
Shih-Fu Chang

BibTex Reference

@InProceedings{acmmm_tamp,
   Author = {Gong, Bingchen and Jou, Brendan and Yu, Felix and Chang, Shih-Fu},
   Title = {Tamp: A Library for Compact Deep Neural Networks with Structured Matrices},
   BookTitle = {ACM International Conference on Multimedia},
   Address = {Amsterdam, The Netherlands},
   Year = {2016}
}

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