1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2019
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice
Mayukh Das, Yang Yu, Devendra Singh Dhami +2
Recently, deep models have been successfully applied in several applications, especially with low-level representations. However, sparse, noisy samples and structured domains (with…
cs.LG2019★ 1 cited
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…
cs.LG2019
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…