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From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space.

, , , , and . AAAI, page 21046-21054. AAAI Press, (2024)

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Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy., , , , and . CoRR, (2021)Resolving challenges in deep learning-based analyses of histopathological images using explanation methods., , , , , , , and . CoRR, (2019)Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed., , , , , and . CoRR, (2019)Explaining automated gender classification of human gait., , , , , , , , and . CoRR, (2022)Beyond explaining: Opportunities and challenges of XAI-based model improvement., , , and . Inf. Fusion, (April 2023)The LRP Toolbox for Artificial Neural Networks., , , , and . J. Mach. Learn. Res., (2016)From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space., , , , and . AAAI, page 21046-21054. AAAI Press, (2024)Measurably Stronger Explanation Reliability Via Model Canonization., , and . ICIP, page 516-520. IEEE, (2022)XAI-based Comparison of Audio Event Classifiers with different Input Representations., , , , and . CBMI, page 126-132. ACM, (2023)Human-Centered Evaluation of XAI Methods., , , , and . ICDM (Workshops), page 912-921. IEEE, (2023)