Concept-based explanations for convolutional neural networks (CNNs) aim ...
Current dataset collection methods typically scrape large amounts of dat...
Concept-based interpretability methods aim to explain deep neural networ...
Gender biases are known to exist within large-scale visual datasets and ...
Deep learning models have achieved remarkable success in different areas...
Research in machine learning fairness has historically considered a sing...
As machine learning is increasingly applied to high-impact, high-risk
do...
Fairness in visual recognition is becoming a prominent and critical topi...