Cost-Effective Testing of a Deep Learning Model through Input Reduction

1 code implementation • 25 Sep 2019 • Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, Dan Hao

Experiments with various DL models and datasets show that our approach can reduce the whole testing data to 4. 6\% on average, and can reliably estimate the performance of DL models.