2 papers
cs.HC2025
Selective Prediction Reduces the Negative Effects of Automation Bias Overall but Increases False Negatives
Sarah Jabbour, David Fouhey, Nikola Banovic +4
AI has the potential to augment human decision making. However, even high-performing models can produce inaccurate predictions when deployed. These inaccuracies, combined with auto…
cs.CV2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour, Gregory Kondas, Ella Kazerooni +3
We propose a permutation-based explanation method for image classifiers. Current image-model explanations like activation maps are limited to instance-based explanations in the pix…