1 code implementation • 15 Nov 2020 • Kurtis Evan David, Qiang Liu, Ruth Fong
While deep learning models often achieve strong task performance, their successes are hampered by their inability to disentangle spurious correlations from causative factors, such as when they use protected attributes (e. g., race, gender, etc.)
1 code implementation • 1 Jun 2019 • Kurtis Evan David, Harrison Keane, Jun Min Noh
We extend and improve the work of Model Agnostic Anchors for explanations on image classification through the use of generative adversarial networks (GANs).