1 code implementation • 11 Oct 2021 • Joshua Peeples, Connor McCurley, Sarah Walker, Dylan Stewart, Alina Zare
We compare our LACE to alternative state-of-the art softmax-based and feature regularization approaches.
no code implementations • 6 Jan 2021 • Sarah Walker, Joshua Peeples, Jeff Dale, James Keller, Alina Zare
In this work, we present an in-depth and systematic analysis using tools such as local interpretable model-agnostic explanations (LIME) (arXiv:1602. 04938) and divergence measures to analyze what changes lead to improvement in performance in fine tuned models for synthetic aperture sonar (SAS) data.
1 code implementation • 31 Dec 2020 • Joshua Peeples, Sarah Walker, Connor McCurley, Alina Zare, James Keller, Weihuang Xu
In order to better represent statistical texture information for remote-sensing image classification, in this paper, we investigate performing joint dimensionality reduction and classification using a novel histogram neural network.