167 citations · 1k across the 81 of their papers we have counts for
5 papers · 2 filters
Energy-Based Continuous Inverse Optimal Control
Yifei Xu, Jianwen Xie, Tianyang Zhao +3
The problem of continuous inverse optimal control (over finite time horizon) is to learn the unknown cost function over the sequence of continuous control variables from expert dem…
Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract)
Quanshi Zhang, Yu Yang, Ying Nian Wu
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., the explainer uses i…
Network Transplanting (extended abstract)
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 a functionally…
Inducing Sparse Coding and And-Or Grammar from Generator Network
Xianglei Xing, Song-Chun Zhu, Ying Nian Wu
We introduce an explainable generative model by applying sparse operation on the feature maps of the generator network. Meaningful hierarchical representations are obtained using t…
Interpretable CNNs for Object Classification
Quanshi Zhang, Xin Wang, Ying Nian Wu +2
This paper proposes a generic method to learn interpretable convolutional filters in a deep convolutional neural network (CNN) for object classification, where each interpretable f…