Understanding Integrated Gradients with SmoothTaylor for Deep Neural
Network Attribution

Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

22 April 2020

Sebastian Lapuschkin

Alexander Binder

Papers citing "Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution"

10 / 10 papers shown

Title
Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks Javier Viana AAML FAtt 21 0 0 25 May 2024
Hardware Acceleration of Explainable Artificial Intelligence Zhixin Pan Prabhat Mishra 26 0 0 04 May 2023
Maximum Entropy Baseline for Integrated Gradients Hanxiao Tan FAtt 18 4 0 12 Apr 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 14 64 0 24 Feb 2022
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 22 6 0 19 Apr 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 23 118 0 03 Apr 2021
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations Antoine Pirovano H. Heuberger Sylvain Berlemont Saïd Ladjal Isabelle Bloch 16 12 0 29 Sep 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 24 79 0 25 Jun 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019