Beyond explaining: Opportunities and challenges of XAI-based model improvement
Weber, Leander, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech
Published in Information fusion (01.04.2023)
Published in Information fusion (01.04.2023)
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Journal Article
Measurably Stronger Explanation Reliability Via Model Canonization
Motzkus, Franz, Weber, Leander, Lapuschkin, Sebastian
Published in 2022 IEEE International Conference on Image Processing (ICIP) (16.10.2022)
Published in 2022 IEEE International Conference on Image Processing (ICIP) (16.10.2022)
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Conference Proceeding
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Goh, Gary S. W., Lapuschkin, Sebastian, Weber, Leander, Samek, Wojciech, Binder, Alexander
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10.01.2021)
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10.01.2021)
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Conference Proceeding
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Binder, Alexander, Weber, Leander, Lapuschkin, Sebastian, Montavon, Gregoire, Mtiller, Klaus-Robert, Samek, Wojciech
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2023)
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2023)
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Conference Proceeding
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Höhne, Marina MC
Year of Publication 12.01.2024
Year of Publication 12.01.2024
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Journal Article
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Weber, Leander, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech
Year of Publication 15.03.2022
Year of Publication 15.03.2022
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Journal Article
Layer-wise Feedback Propagation
Weber, Leander, Berend, Jim, Binder, Alexander, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian
Year of Publication 23.08.2023
Year of Publication 23.08.2023
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Journal Article
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Binder, Alexander, Weber, Leander, Lapuschkin, Sebastian, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech
Year of Publication 22.11.2022
Year of Publication 22.11.2022
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Journal Article
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
Ede, Sami, Baghdadlian, Serop, Weber, Leander, Nguyen, An, Zanca, Dario, Samek, Wojciech, Lapuschkin, Sebastian
Year of Publication 04.05.2022
Year of Publication 04.05.2022
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Journal Article
A Fresh Look at Sanity Checks for Saliency Maps
Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Höhne, Marina
Published in arXiv.org (03.05.2024)
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Published in arXiv.org (03.05.2024)
Paper
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Goh, Gary S W, Lapuschkin, Sebastian, Weber, Leander, Samek, Wojciech, Binder, Alexander
Published in arXiv.org (02.09.2021)
Published in arXiv.org (02.09.2021)
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Paper
Journal Article
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Hedström, Anna, Weber, Leander, Bareeva, Dilyara, Krakowczyk, Daniel, Motzkus, Franz, Samek, Wojciech, Lapuschkin, Sebastian, Höhne, Marina M. -C
Year of Publication 14.02.2022
Year of Publication 14.02.2022
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Journal Article
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Pahde, Frederik, Dreyer, Maximilian, Weber, Leander, Weckbecker, Moritz, Anders, Christopher J, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian
Year of Publication 07.02.2022
Year of Publication 07.02.2022
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Journal Article
Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models
Anders, Christopher J, Weber, Leander, Neumann, David, Samek, Wojciech, Müller, Klaus-Robert, Lapuschkin, Sebastian
Year of Publication 22.12.2019
Year of Publication 22.12.2019
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Journal Article