Self-Interpretable Model with TransformationEquivariant Interpretation

9 November 2021

Papers citing "Self-Interpretable Model with TransformationEquivariant Interpretation"

20 / 20 papers shown

Title
Self-Explaining Neural Networks for Business Process Monitoring Shahaf Bassan Shlomit Gur Sergey Zeltyn Konstantinos Mavrogiorgos Ron Eliav Dimosthenis Kyriazis 44 0 0 23 Mar 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 52 0 0 15 Feb 2025
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 17 0 0 02 Oct 2024
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoff Kevin Trelenberg Fabian Küppers Jonas Schneider 11 1 0 19 Sep 2024
META-ANOVA: Screening interactions for interpretable machine learning Daniel A. Serino Marc L. Klasky Chanmoo Park Dongha Kim Yongdai Kim 23 0 0 02 Aug 2024
Towards White Box Deep Learning Maciej Satkiewicz AAML 19 0 0 14 Mar 2024
Learning the irreversible progression trajectory of Alzheimer's disease Yipei Wang Bing He S. Risacher A. Saykin Jingwen Yan Xiaoqian Wang 30 0 0 10 Mar 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 8 1 0 19 Jan 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 15 2 0 13 Dec 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 14 1 0 27 Sep 2023
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining Aaron J. Li Robin Netzorg Zhihan Cheng Zhuoqin Zhang Bin Yu 14 3 0 08 Jul 2023
Robustness of Visual Explanations to Common Data Augmentation Lenka Tětková Lars Kai Hansen AAML 9 6 0 18 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 6 6 0 13 Apr 2023
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers S. Sengupta M. Anastasio MedIm 17 6 0 13 Mar 2023
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 23 7 0 18 Dec 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 12 34 0 15 Oct 2022
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation Lu Yu Wei Xiang Juan Fang Yi-Ping Phoebe Chen Lianhua Chi ViT 14 24 0 12 Jul 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics Yipei Wang Xiaoqian Wang XAI 6 7 0 27 Mar 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 222 3,658 0 28 Feb 2017