Quantifying Explainability of Saliency Methods in Deep Neural Networks
with a Synthetic Dataset

Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset

7 September 2020

Papers citing "Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset"

12 / 12 papers shown

Title
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 35 2 0 17 Jun 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 42 5 0 17 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 42 2 0 06 Apr 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 50 1 0 03 Apr 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation Zeliang Zhang Mingqian Feng Jinyang Jiang Rongyi Zhu Yijie Peng Chenliang Xu FAtt 34 2 0 22 Mar 2024
A Pseudo-Boolean Polynomials Approach for Image Edge Detection T. M. Chikake B. Goldengorin 8 1 0 29 Aug 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 31 1 0 16 Jul 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification Marta Oliveira Rick Wilming Benedict Clark Céline Budding Fabian Eitel K. Ritter Stefan Haufe 16 1 0 21 Jun 2023
Validation of a Hospital Digital Twin with Machine Learning M. Ahmad V. Chickarmane Farinaz Sabz Ali Pour Nima Shariari Taposh Dutta Roy AI4CE 8 1 0 07 Mar 2023
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI Erico Tjoa Hong Jing Khok Tushar Chouhan G. Cuntai FAtt 25 4 0 30 Dec 2021
Evaluating saliency methods on artificial data with different background types Céline Budding Fabian Eitel K. Ritter Stefan Haufe XAI FAtt MedIm 27 5 0 09 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 24 303 0 01 Nov 2021