AutoQ: Automated Kernel-Wise Neural Network Quantization

ICLR 2020 Qian LouFeng GuoLantao LiuMinje KimLei Jiang

Network quantization is one of the most hardware friendly techniques to enable the deployment of convolutional neural networks (CNNs) on low-power mobile devices. Recent network quantization techniques quantize each weight kernel in a convolutional layer independently for higher inference accuracy, since the weight kernels in a layer exhibit different variances and hence have different amounts of redundancy... (read more)

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