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We present a memory and computation efficient ternary weight networks (TWNs) - with weights constrained to +1, 0 and -1.
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S. Ren, K. He, R. Girshick, and J. Sun, · 2015
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Song Han, Huizi Mao, and William J. Dally, · 2015
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“Binaryconnect: Training deep neural networks with binary weights during propagations,”
M. Courbariaux, Y. Bengio, and J.-P. David, · 2015
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S. Ioffe and C. Szegedy, · 2015
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“Binarized neural networks,”
I. Hubara, D. Soudry, and R. E. Yaniv, · 2016
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Hanxiao Liu, Karen Simonyan, and Yiming Yang, · 2019
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M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi, · 2016
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“Convolutional networks for fast, energy-efficient neuromorphic computing,”
Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, and et al., · 2016
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