EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust
and Non-Robust Models

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models

15 March 2023

Ravichandran Ramachandran

Hassan M. Fathallah-Shaykh

Papers citing "EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models"

17 / 17 papers shown

Title
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 192 0 0 23 May 2025
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability Joakim Edin Andreas Geert Motzfeldt Casper L. Christensen Tuukka Ruotsalo Lars Maaløe Maria Maistro 102 4 0 15 Aug 2024
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 42 8 0 25 May 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 59 73 0 07 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 78 409 0 20 Jan 2022
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification Hai T. Phan Anh Totti Nguyen CVBM 61 24 0 07 Dec 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 49 6 0 10 Nov 2021
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 61 5 0 10 Nov 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 59 658 0 22 Jul 2021
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 76 301 0 28 Oct 2020
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 170 1,169 0 19 Jun 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 93 1,776 0 30 May 2018
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,968 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 248 19,929 0 07 Oct 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 221 9,298 0 14 Dec 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 218 4,665 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 277 7,279 0 20 Dec 2013