DrowsyNet: Convolutional neural networks with runtime power-accuracy tunability using inference-stage dropout - researchr publication

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Ren-Shuo Liu, Yun-Chen Lo, Yuan-Chun Luo, Chih-Yu Shen, Cheng-Ju Lee. DrowsyNet: Convolutional neural networks with runtime power-accuracy tunability using inference-stage dropout. In 2018 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), Hsinchu, Taiwan, April 16-19, 2018. pages 1-4, IEEE, 2018. [doi]

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