no code implementations • 3 Apr 2023 • Jacob Piland, Christopher Sweet, Priscila Saboia, Charles Vardeman II, Adam Czajka
Energy-based models (EBM) have become increasingly popular within computer vision.
no code implementations • 21 Mar 2023 • Colton Crum, Patrick Tinsley, Aidan Boyd, Jacob Piland, Christopher Sweet, Timothy Kelley, Kevin Bowyer, Adam Czajka
In this paper, we propose five novel methods of leveraging model salience to explain a model behavior at scale.
no code implementations • 1 Mar 2023 • Jacob Piland, Adam Czajka, Christopher Sweet
Deep learning-based models generalize better to unknown data samples after being guided "where to look" by incorporating human perception into training strategies.
no code implementations • 3 Aug 2019 • Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang
Recreating cyber-attack alert data with a high level of fidelity is challenging due to the intricate interaction between features, non-homogeneity of alerts, and potential for rare yet critical samples.
no code implementations • 13 Apr 2017 • Sandipan Banerjee, James Sweet, Christopher Sweet, Marya Lieberman
These cards have different reagents embedded in them which produce a set of distinctive color descriptors upon reacting with the chemical compounds that constitute pharmaceutical dosage forms.