Guidelines For The Choice Of The Baseline in XAI Attribution Methods

Guidelines For The Choice Of The Baseline in XAI Attribution Methods

25 March 2025

Cristian Morasso

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Papers citing "Guidelines For The Choice Of The Baseline in XAI Attribution Methods"

18 / 18 papers shown

Title
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 49 7 0 30 May 2024
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey Mahfuzur Rahman Vince D. Calhoun Sergey Plis 21 3 0 14 Jul 2023
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 88 442 0 11 Nov 2021
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary Shuyue Guan Murray H. Loew 83 29 0 16 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 98 64 0 11 Sep 2020
A Baseline for Shapley Values in MLPs: from Missingness to Neutrality Cosimo Izzo Aldo Lipani Ramin Okhrati F. Medda FAtt 42 18 0 08 Jun 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution Gary S. W. Goh Sebastian Lapuschkin Leander Weber Wojciech Samek Alexander Binder FAtt 65 35 0 22 Apr 2020
Characterizing the Decision Boundary of Deep Neural Networks Hamid Karimi Hanyu Wang Jiliang Tang 61 67 0 24 Dec 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 117 1,452 0 17 Jul 2019
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 123 683 0 28 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 202 9,479 0 09 Feb 2018
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 106 688 0 02 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 129 2,366 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,883 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,024 0 04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014

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