118 citations · 1.4k across the 52 of their papers we have counts for
Showing 2019 · cs.CVShow all
2 papers · 2 filters
cs.CV2019★ 54 cited
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong, Zhewei Yao, Yaohui Cai +4
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…
cs.CV2019★ 35 cited
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Zhen Dong, Zhewei Yao, Amir Gholami +2
Model size and inference speed/power have become a major challenge in the deployment of Neural Networks for many applications. A promising approach to address these problems is qua…