Searching Toward Pareto-Optimal Device-Aware Neural Architectures

29 Aug 2018An-Chieh ChengJin-Dong DongChi-Hung HsuShu-Huan ChangMin SunShih-Chieh ChangJia-Yu PanYu-Ting ChenWei WeiDa-Cheng Juan

Recent breakthroughs in Neural Architectural Search (NAS) have achieved state-of-the-art performance in many tasks such as image classification and language understanding. However, most existing works only optimize for model accuracy and largely ignore other important factors imposed by the underlying hardware and devices, such as latency and energy, when making inference... (read more)

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