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08/18/2023
From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space
Deep Neural Networks are prone to learning spurious correlations embedde...
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03/22/2023
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
State-of-the-art machine learning models often learn spurious correlatio...
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11/21/2022
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
Applying traditional post-hoc attribution methods to segmentation or obj...
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06/07/2022
From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation
The emerging field of eXplainable Artificial Intelligence (XAI) aims to ...
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09/09/2021