Inherently Interpretable Multi-Label Classification Using Class-Specific
Counterfactuals

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Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals

1 March 2023

Christian F. Baumgartner

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Papers citing "Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals"

12 / 12 papers shown

Title
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 233 0 0 23 May 2025
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering Suparshva Jain Amit Sangroya Lovekesh Vig DiffM 123 1 0 17 Feb 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 131 2 0 06 Feb 2025
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology Susu Sun Leslie Tessier Frédérique Meeuwsen Clément Grisi Dominique van Midden G. Litjens Christian F. Baumgartner 138 2 0 06 Jan 2025
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 156 2 0 16 Sep 2024
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations Nima Fathi Amar Kumar Brennan Nichyporuk Mohammad Havaei Tal Arbel DiffM CML 137 2 0 15 May 2024
Counterfactual contrastive learning: robust representations via causal image synthesis Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD 94 5 0 14 Mar 2024
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models I. Ilanchezian Valentyn Boreiko Laura Kühlewein Ziwei Huang M. Ayhan Matthias Hein Lisa M. Koch Philipp Berens DiffM MedIm 70 4 0 20 Nov 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 136 13 0 02 Oct 2023
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis Zirui Qiu H. Rivaz Yiming Xiao FAtt 50 5 0 29 Aug 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 103 16 0 23 Jul 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,241 0 16 Feb 2016