71 citations · 76 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 5 cited
FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification
Yifei Li, Kuangyan Song, Yiming Sun +1
This paper has proposed a new baseline deep learning model of more benefits for image classification. Different from the convolutional neural network(CNN) practice where filters ar…
cs.LG2019★ 71 cited
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations
Yujia Zhang, Kuangyan Song, Yiming Sun +2
Methods for interpreting machine learning black-box models increase the outcomes' transparency and in turn generates insight into the reliability and fairness of the algorithms. Ho…