Black Box Explanation by Learning Image Exemplars in the Latent Feature
Space

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

27 January 2020

Riccardo Guidotti

Papers citing "Black Box Explanation by Learning Image Exemplars in the Latent Feature Space"

18 / 18 papers shown

Title
Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability Simone Piaggesi Riccardo Guidotti F. Giannotti D. Pedreschi FAtt LRM 148 0 0 29 Apr 2025
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model Fabio Michele Russo C. Metta Anna Monreale S. Rinzivillo Fabio Pinelli 70 0 0 06 Mar 2025
Transparent Neighborhood Approximation for Text Classifier Explanation Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AAML 71 0 0 25 Nov 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
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 22 11 0 18 Jan 2023
Causality-Aware Local Interpretable Model-Agnostic Explanations Martina Cinquini Riccardo Guidotti CML 49 1 0 10 Dec 2022
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders Priya Mani C. Domeniconi BDL SSL DRL 21 0 0 18 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 21 1 0 03 Nov 2022
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners K. Ramamurthy Amit Dhurandhar Dennis L. Wei Zaid Bin Tariq FAtt 38 3 0 02 Feb 2022
Explainable Deep Image Classifiers for Skin Lesion Diagnosis C. Metta Andrea Beretta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo F. Giannotti 13 5 0 22 Nov 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation Yi Cai Arthur Zimek Eirini Ntoutsi 25 5 0 30 Sep 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez López Massimo Caccia Alexandre Lacoste L. Zamparo I. Laradji Laurent Charlin David Vazquez AAML 37 55 0 18 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 80 262 0 03 Dec 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 19 111 0 29 Nov 2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers Rajat Sharma N. Reddy V. Kamakshi N. C. Krishnan Shweta Jain FAtt 19 7 0 03 Nov 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks Hong G Jung Sin-Han Kang Hee-Dong Kim Dong-Ok Won Seong-Whan Lee OOD FAtt 17 22 0 05 Aug 2020