Yunsi Fei

Evaluating Fault Resiliency of Compressed Deep Neural Networks

2019

Model compression is considered to be an effective way to reduce the implementation cost of deep neural networks (DNNs) while maintaining the inference accuracy. Many recent studies have developed efficient model compression algorithms and implementations …