Interpretable Image Classification with Differentiable Prototypes
Assignment

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Interpretable Image Classification with Differentiable Prototypes Assignment

6 December 2021

Dawid Rymarczyk

Michal Górszczak

Bartosz Zieliñski

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Papers citing "Interpretable Image Classification with Differentiable Prototypes Assignment"

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Title
Interpreting and Correcting Medical Image Classification with PIP-Net Meike Nauta J. H. Hegeman J. Geerdink Jorg Schlotterer M. V. Keulen Christin Seifert MedIm 71 14 0 19 Jul 2023
A differentiable Gaussian Prototype Layer for explainable Segmentation M. Gerstenberger Steffen Maass Peter Eisert S. Bosse 71 4 0 25 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 154 71 0 06 Jun 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 96 6 0 25 May 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Yuanyuan Wei Roger Tam Xiaoying Tang MedIm 71 12 0 13 Apr 2023
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations Daniel Flores-Araiza F. Lopez-Tiro Jonathan El Beze Jacques Hubert M. González-Mendoza Gilberto Ochoa-Ruiz Christian Daul MedIm OOD 73 6 0 08 Apr 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 93 7 0 23 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 114 29 0 17 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 106 28 0 14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 123 30 0 28 Jan 2023
Sanity checks and improvements for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 117 3 0 20 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang Yuyuan Liu Yuanhong Chen Fengbei Liu Yu Tian Davis J. McCarthy Helen Frazer G. Carneiro 143 26 0 08 Jan 2023
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang Mengqi Xue Wenqi Huang Haofei Zhang Mingli Song Yongcheng Jing Mingli Song AAML 92 28 0 12 Dec 2022
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction Dawid Rymarczyk D. Dobrowolski Tomasz Danel 114 5 0 07 Oct 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 141 134 0 27 Jul 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 122 2 0 22 May 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.4K 17,241 0 16 Feb 2016