Trust is an important factor in people's interactions with AI systems.
H...
Concept-based explanations for convolutional neural networks (CNNs) aim ...
Despite the proliferation of explainable AI (XAI) methods, little is
und...
Concept-based interpretability methods aim to explain deep neural networ...
Deep learning models have achieved remarkable success in different areas...
As machine learning is increasingly applied to high-impact, high-risk
do...
The iMet 2020 dataset is a valuable resource in the space of fine-graine...
Singh et al. (2020) point out the dangers of contextual bias in visual
r...
We study image segmentation from an information-theoretic perspective,
p...
Fairness in visual recognition is becoming a prominent and critical topi...
Both geometry and texture are fundamental aspects of visual style. Exist...