On Baselines for Local Feature Attributions

4 January 2021

Gjergji Kasneci

Papers citing "On Baselines for Local Feature Attributions"

23 / 23 papers shown

Title
Guidelines For The Choice Of The Baseline in XAI Attribution Methods Cristian Morasso Giorgio Dolci I. Galazzo Sergey M. Plis Gloria Menegaz 39 0 0 25 Mar 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 94 0 0 30 Dec 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 39 5 0 17 Apr 2024
Root Causing Prediction Anomalies Using Explainable AI R. Vishnampet Rajesh Shenoy Jianhui Chen Anuj Gupta 26 0 0 04 Mar 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 66 20 0 12 Jan 2024
The Disagreement Problem in Faithfulness Metrics Brian Barr Noah Fatsi Leif Hancox-Li Peter Richter Daniel Proano Caleb Mok 42 4 0 13 Nov 2023
Fixing confirmation bias in feature attribution methods via semantic match Giovanni Cina Daniel Fernandez-Llaneza Ludovico Deponte Nishant Mishra Tabea E. Rober Sandro Pezzelle Iacer Calixto Rob Goedhart cS. .Ilker Birbil FAtt 25 0 0 03 Jul 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 16 49 0 11 Jun 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 19 102 0 17 Nov 2022
Change Detection for Local Explainability in Evolving Data Streams Johannes Haug Alexander Braun Stefan Zurn Gjergji Kasneci FAtt 6 9 0 06 Sep 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights Tianshu Feng Zhipu Zhou Tarun Joshi V. Nair FAtt 20 4 0 12 Aug 2022
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence Isha Hameed Samuel Sharpe Daniel Barcklow Justin Au-yeung Sahil Verma Jocelyn Huang Brian Barr C. B. Bruss 35 14 0 12 Jul 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 32 4 0 14 Jun 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 24 8 0 25 May 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 11 5 0 28 Apr 2022
Dynamic Model Tree for Interpretable Data Stream Learning Johannes Haug Klaus Broelemann Gjergji Kasneci 12 7 0 30 Mar 2022
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis Thomas Fel Mélanie Ducoffe David Vigouroux Rémi Cadène Mikael Capelle C. Nicodeme Thomas Serre AAML 23 41 0 15 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods Yao Rong Tobias Leemann V. Borisov Gjergji Kasneci Enkelejda Kasneci FAtt 23 92 0 01 Feb 2022
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines V. Borisov Johannes Meier J. V. D. Heuvel Hamed Jalali Gjergji Kasneci FAtt 39 5 0 14 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 27 646 0 05 Oct 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Mohit Bansal OODD LRM FAtt 18 91 0 01 Jun 2021
Fast Hierarchical Games for Image Explanations Jacopo Teneggi Alexandre Luster Jeremias Sulam FAtt 34 17 0 13 Apr 2021