152 citations · 191 across the 5 of their papers we have counts for
9 papers
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
Alexis Ayala, Christopher Drazic, Brian Hutchinson +2
Climate models encapsulate our best understanding of the Earth system, allowing research to be conducted on its future under alternative assumptions of how human-driven climate for…
A Study of Few-Shot Audio Classification
Piper Wolters, Chris Careaga, Brian Hutchinson +1
Advances in deep learning have resulted in state-of-the-art performance for many audio classification tasks but, unlike humans, these systems traditionally require large amounts of…
DeepClimGAN: A High-Resolution Climate Data Generator
Alexandra Puchko, Robert Link, Brian Hutchinson +2
Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are often used to generate future projections of climate change scen…
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Loc Truong, Chace Jones, Brian Hutchinson +5
Backdoor data poisoning attacks have recently been demonstrated in computer vision research as a potential safety risk for machine learning (ML) systems. Traditional data poisoning…
Metric-Based Few-Shot Learning for Video Action Recognition
Chris Careaga, Brian Hutchinson, Nathan Hodas +1
In the few-shot scenario, a learner must effectively generalize to unseen classes given a small support set of labeled examples. While a relatively large amount of research has gon…
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
Andy Brown, Aaron Tuor, Brian Hutchinson +1
Deep learning has recently demonstrated state-of-the art performance on key tasks related to the maintenance of computer systems, such as intrusion detection, denial of service att…