This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation

27 August 2021

Michael C. Kampffmeyer

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Papers citing "This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation"

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Title
DocVXQA: Context-Aware Visual Explanations for Document Question Answering Mohamed Ali Souibgui Changkyu Choi Andrey Barsky Kangsoo Jung Ernest Valveny Dimosthenis Karatzas 28 0 0 12 May 2025
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 77 0 0 03 Dec 2024
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models Romain Xu-Darme Aymeric Varasse Alban Grastien Julien Girard Zakaria Chihani 30 0 0 25 Sep 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network Zachariah Carmichael Timothy Redgrave Daniel Gonzalez Cedre Walter J. Scheirer BDL 39 2 0 16 Jul 2024
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers Ananthu Aniraj C. Dantas Dino Ienco Diego Marcos 39 1 0 05 Jul 2024
This actually looks like that: Proto-BagNets for local and global interpretability-by-design K. Djoumessi B. Bah Laura Kühlewein Philipp Berens Lisa M. Koch FAtt 21 0 0 21 Jun 2024
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis ViT 26 6 0 14 Jun 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 35 2 0 12 Jun 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 34 7 0 23 May 2024
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes Poulami Sinhamahapatra Suprosanna Shit Anjany Sekuboyina M. Husseini D. Schinz Nicolas Lenhart Bjoern H. Menze Jan Kirschke Karsten Roscher Stephan Guennemann 50 1 0 03 Apr 2024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges Shreyasi Pathak Jorg Schlotterer Jeroen Veltman J. Geerdink M. V. Keulen Christin Seifert 31 3 0 29 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 38 3 0 27 Mar 2024
Pantypes: Diverse Representatives for Self-Explainable Models R. Kjærsgaard Ahcène Boubekki Line H. Clemmensen 36 2 0 14 Mar 2024
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction Tobias Clement Truong Thanh Hung Nguyen Nils Kemmerzell Mohamed Abdelaal Davor Stjelja 11 3 0 07 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 40 8 0 09 Jan 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 31 2 0 13 Dec 2023
Sanity checks for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 19 6 0 25 Oct 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 38 11 0 25 Sep 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement M. D. L. D. Bouter J. Pardo Z. Geradts M. Worring 13 10 0 20 Sep 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 32 14 0 16 Aug 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 34 11 0 26 Jul 2023
A differentiable Gaussian Prototype Layer for explainable Segmentation M. Gerstenberger Steffen Maass Peter Eisert S. Bosse 30 4 0 25 Jun 2023
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder Ayodeji Ijishakin A. Abdulaal Adamos Hadjivasiliou Sophie Martin James H. Cole DiffM MedIm 33 9 0 05 Jun 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 32 28 0 14 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 15 25 0 11 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 26 3 0 07 Feb 2023
Sanity checks and improvements for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 10 3 0 20 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 48 17 0 30 Dec 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 39 5 0 22 Nov 2022
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam Ahcène Boubekki Stine Hansen Suaiba Amina Salahuddin Robert Jenssen Marina M.-C. Höhne Michael C. Kampffmeyer 25 36 0 15 Oct 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Jie Song Ming-hui Wu Mingli Song ViT 25 53 0 22 Aug 2022
ECLAD: Extracting Concepts with Local Aggregated Descriptors Andres Felipe Posada-Moreno N. Surya Sebastian Trimpe 20 13 0 09 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 24 12 0 09 Jun 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 47 90 0 15 Mar 2022
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation Srishti Gautam Marina M.-C. Höhne Stine Hansen Robert Jenssen Michael C. Kampffmeyer 11 7 0 10 Jan 2022
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017