The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

14 February 2023

Anna Hedström

P. Bommer

Kristoffer K. Wickstrom

Papers citing "The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus"

20 / 20 papers shown

Title
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution Carlos Eiras-Franco Anna Hedström Marina M.-C. Höhne XAI 38 0 0 24 Feb 2025
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström AAML 84 2 0 07 Dec 2024
Expected Grad-CAM: Towards gradient faithfulness Vincenzo Buono Peyman Sheikholharam Mashhadi M. Rahat Prayag Tiwari Stefan Byttner FAtt 31 1 0 03 Jun 2024
CoSy: Evaluating Textual Explanations of Neurons Laura Kopf P. Bommer Anna Hedström Sebastian Lapuschkin Marina M.-C. Höhne Kirill Bykov 44 7 0 30 May 2024
A Fresh Look at Sanity Checks for Saliency Maps Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne FAtt LRM 42 5 0 03 May 2024
CNN-based explanation ensembling for dataset, representation and explanations evaluation Weronika Hryniewska-Guzik Luca Longo P. Biecek FAtt 48 0 0 16 Apr 2024
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris FAtt ViT 33 5 0 07 Mar 2024
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques Weronika Hryniewska-Guzik Bartosz Sawicki P. Biecek 38 0 0 30 Jan 2024
A comprehensive study on fidelity metrics for XAI Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 36 11 0 19 Jan 2024
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne LRM 32 3 0 12 Jan 2024
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability Shanghua Liu Anna Hedström D. H. Basavegowda Cornelia Weltzien Marina M.-C. Höhne 12 0 0 13 Dec 2023
Class-Discriminative Attention Maps for Vision Transformers L. Brocki Jakub Binda N. C. Chung MedIm 30 3 0 04 Dec 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 39 4 0 27 Oct 2023
Is Task-Agnostic Explainable AI a Myth? Alicja Chaszczewicz 26 2 0 13 Jul 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future P. Hacker AILaw 26 59 0 25 Nov 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 186 0 03 Feb 2022
Framework for Evaluating Faithfulness of Local Explanations S. Dasgupta Nave Frost Michal Moshkovitz FAtt 111 61 0 01 Feb 2022
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014