Search Results for author:
Found 6 papers, 1 papers with code
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
The pipeline helps to improve and standardize AI algorithms in the digital health space by generating high quality synthetic image data that is not linked to specific patients.
Backpropagation Clipping for Deep Learning with Differential Privacy
We present backpropagation clipping, a novel variant of differentially private stochastic gradient descent (DP-SGD) for privacy-preserving deep learning.
Logical Segmentation of Source Code
Many software analysis methods have come to rely on machine learning approaches.
A Language-Agnostic Model for Semantic Source Code Labeling
We use Stack Overflow code snippets and their tags to train a language-agnostic, deep convolutional neural network to automatically predict semantic labels for source code documents.
A Convolutional Neural Network for Language-Agnostic Source Code Summarization
Automatic source code summarization may therefore have the ability to significantly improve the software development process.
Fragmentation and inefficiencies in US equity markets: Evidence from the Dow 30
Using the most comprehensive source of commercially available data on the US National Market System, we analyze all quotes and trades associated with Dow 30 stocks in 2016 from the vantage point of a single and fixed frame of reference.
