Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias
Correction of Deep Models

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Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

22 March 2023

Maximilian Dreyer

Sebastian Lapuschkin

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Papers citing "Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models"

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Title
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 190 1 0 07 Mar 2025
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023 Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 424 352 0 30 Oct 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation ByproductsIEEE International Conference on Computer Vision (ICCV), 2023 Dongyoon Han Junsuk Choe Dante Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Y. Song Seong Joon Oh OOD 1.3K 4 1 30 Mar 2023
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 177 27 0 21 Nov 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional DivergenceInternational Conference on Learning Representations (ICLR), 2022 Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 322 17 0 07 Feb 2022