133 citations · 379 across the 18 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 30 cited
Explaining Deep Learning Models - A Bayesian Non-parametric Approach
Wenbo Guo, Sui Huang, Yunzhe Tao +2
Understanding and interpreting how machine learning (ML) models make decisions have been a big challenge. While recent research has proposed various technical approaches to provide…
cs.SE2018★ 4 cited
Fine-Grained Library Customization
Linhai Song, Xinyu Xing
Code bloat widely exists in production-run software. Left untackled, it not only degrades software performance but also increases its attack surface. In this work, we conduct a cas…
cs.LG2018★ 11 cited
A Comparative Study of Rule Extraction for Recurrent Neural Networks
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia +3
Understanding recurrent networks through rule extraction has a long history. This has taken on new interests due to the need for interpreting or verifying neural networks. One basi…