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03/28/2023
XAIR: A Framework of Explainable AI in Augmented Reality
Explainable AI (XAI) has established itself as an important component of...
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12/26/2022
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks
We propose a fairness-aware learning framework that mitigates intersecti...
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04/27/2022
Prescriptive and Descriptive Approaches to Machine-Learning Transparency
Specialized documentation techniques have been developed to communicate ...
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04/19/2022
A Tour of Visualization Techniques for Computer Vision Datasets
We survey a number of data visualization techniques for analyzing Comput...
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06/08/2021
Investigating sanity checks for saliency maps with image and text classification
Saliency maps have shown to be both useful and misleading for explaining...
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05/17/2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
This paper is a write-up for the tutorial on "Fine-grained Interpretatio...
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10/23/2020
Investigating Saturation Effects in Integrated Gradients
Integrated Gradients has become a popular method for post-hoc model inte...
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10/05/2020
Mind the Pad – CNNs can Develop Blind Spots
We show how feature maps in convolutional networks are susceptible to sp...
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09/16/2020
