7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 7 cited
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
Junaid Ali, Matthaeus Kleindessner, Florian Wenzel +3
We propose a novel taxonomy for bias evaluation of discriminative foundation models, such as Contrastive Language-Pretraining (CLIP), that are used for labeling tasks. We then syst…
cs.LG2022
Explaining the root causes of unit-level changes
Kailash Budhathoki, George Michailidis, Dominik Janzing
Existing methods of explainable AI and interpretable ML cannot explain change in the values of an output variable for a statistical unit in terms of the change in the input values…