46 citations · 49 across the 2 of their papers we have counts for
4 papers
Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary
Meg Pirrung, Nathan Hilliard, Artëm Yankov +4
Sharkzor is a web application for machine-learning assisted image sort and summary. Deep learning algorithms are leveraged to infer, augment, and automate the user's mental model.…
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard, Lawrence Phillips, Scott Howland +3
Learning high quality class representations from few examples is a key problem in metric-learning approaches to few-shot learning. To accomplish this, we introduce a novel architec…
Faster Fuzzing: Reinitialization with Deep Neural Models
Nicole Nichols, Mark Raugas, Robert Jasper +1
We improve the performance of the American Fuzzy Lop (AFL) fuzz testing framework by using Generative Adversarial Network (GAN) models to reinitialize the system with novel seed fi…
Dynamic Input Structure and Network Assembly for Few-Shot Learning
Nathan Hilliard, Nathan O. Hodas, Courtney D. Corley
The ability to learn from a small number of examples has been a difficult problem in machine learning since its inception. While methods have succeeded with large amounts of traini…