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03/27/2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs
Concept-based explanations for convolutional neural networks (CNNs) aim ...
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01/05/2023
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
Current dataset collection methods typically scrape large amounts of dat...
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07/20/2022
Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability
Concept-based interpretability methods aim to explain deep neural networ...
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06/18/2022
Gender Artifacts in Visual Datasets
Gender biases are known to exist within large-scale visual datasets and ...
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06/15/2022
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features
Deep learning models have achieved remarkable success in different areas...
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05/10/2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Research in machine learning fairness has historically considered a sing...
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12/06/2021
HIVE: Evaluating the Human Interpretability of Visual Explanations
As machine learning is increasingly applied to high-impact, high-risk do...
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12/02/2020
