Sanity Checks for Saliency Metrics

29 November 2019

Papers citing "Sanity Checks for Saliency Metrics"

28 / 28 papers shown

Title
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 62 4 0 10 Jan 2025
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 54 1 0 03 Nov 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 34 3 0 16 Jul 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law Benjamin Frész Elena Dubovitskaya Danilo Brajovic Marco F. Huber Christian Horz 57 7 0 19 Apr 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
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Yao Rong Peizhu Qian Vaibhav Unhelkar Enkelejda Kasneci 34 0 0 19 Dec 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström P. Bommer Kristoffer K. Wickstrom Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne 37 21 0 14 Feb 2023
On The Coherence of Quantitative Evaluation of Visual Explanations Benjamin Vandersmissen José Oramas XAI FAtt 36 3 0 14 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 22 4 0 11 Feb 2023
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 33 2 0 21 Dec 2022
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models Atsushi Kikuchi Kotaro Uchida Masaki Waga Kohei Suenaga FAtt 26 1 0 31 Oct 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 22 8 0 25 May 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre S. Collin Ninon Burgos O. Colliot 16 4 0 14 Apr 2022
Sensing accident-prone features in urban scenes for proactive driving and accident prevention Sumit Mishra Praveenbalaji Rajendran L. Vecchietti Dongsoo Har 19 13 0 25 Feb 2022
Evaluating Feature Attribution Methods in the Image Domain Arne Gevaert Axel-Jan Rousseau Thijs Becker D. Valkenborg T. D. Bie Yvan Saeys FAtt 24 22 0 22 Feb 2022
Turath-150K: Image Database of Arab Heritage Dani Kiyasseh Rasheed el-Bouri 19 0 0 01 Jan 2022
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo S. Feizi FAtt 20 80 0 29 Nov 2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 114 58 0 07 Nov 2021
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 19 20 0 07 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 45 647 0 05 Oct 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E. Amparore Alan Perotti P. Bajardi FAtt 17 68 0 01 Jun 2021
Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 38 17 0 13 May 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 21 57 0 25 Feb 2021
Towards Robust Explanations for Deep Neural Networks Ann-Kathrin Dombrowski Christopher J. Anders K. Müller Pan Kessel FAtt 21 63 0 18 Dec 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 30 143 0 10 Feb 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017