41 citations
- Oak Ridge National LaboratoryUS7 papers
- Naval Surface Warfare CenterUS3 papers
- University of FloridaUS3 papers
- Japan Atomic Energy AgencyJP2 papers
- National Institute of Standards and TechnologyUS2 papers
- Signal Processing (United States)US2 papers
- The University of TokyoJP2 papers
- University of California, BerkeleyUS2 papers
- University of MichiganUS2 papers
- University of MinnesotaUS2 papers
- University of Tennessee at KnoxvilleUS2 papers
- Advanced Science Research CenterJP1 paper
Showing 2018Show all
3 papers · 1 filter
cs.CR2018
Detecting DGA domains with recurrent neural networks and side information
Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski +2
Modern malware typically makes use of a domain generation algorithm (DGA) to avoid command and control domains or IPs being seized or sinkholed. This means that an infected system…
cs.CV2018★ 2 cited
Deep Exemplar-based Colorization
Mingming He, Dongdong Chen, Jing Liao +2
We propose the first deep learning approach for exemplar-based local colorization. Given a reference color image, our convolutional neural network directly maps a grayscale image t…
cs.PL2018
The simple essence of automatic differentiation
Conal Elliott
Automatic differentiation (AD) in reverse mode (RAD) is a central component of deep learning and other uses of large-scale optimization. Commonly used RAD algorithms such as backpr…