HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks

10 Nov 2019Zhen DongZhewei YaoYaohui CaiDaiyaan ArfeenAmir GholamiMichael W. MahoneyKurt Keutzer

Quantization is an effective method for reducing memory footprint and inference time of Neural Networks, e.g., for efficient inference in the cloud, especially at the edge. However, ultra low precision quantization could lead to significant degradation in model generalization... (read more)

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