26 citations · 72 across the 18 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 18 cited
Unsupervised Learning of Neural Networks to Explain Neural Networks
Quanshi Zhang, Yu Yang, Yuchen Liu +2
This paper presents an unsupervised method to learn a neural network, namely an explainer, to interpret a pre-trained convolutional neural network (CNN), i.e., explaining knowledge…
cs.LG2018★ 6 cited
Network Transplanting
Quanshi Zhang, Yu Yang, Qian Yu +1
This paper focuses on a new task, i.e., transplanting a category-and-task-specific neural network to a generic, modular network without strong supervision. We design an functionall…
cs.CV2018★ 26 cited
Interpreting CNNs via Decision Trees
Quanshi Zhang, Yu Yang, Haotian Ma +1
This paper aims to quantitatively explain rationales of each prediction that is made by a pre-trained convolutional neural network (CNN). We propose to learn a decision tree, which…