Interpreting Deep Neural Networks with Relative Sectional Propagation by
Analyzing Comparative Gradients and Hostile Activations

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Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations

AAAI Conference on Artificial Intelligence (AAAI), 2020

7 December 2020

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Papers citing "Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations"

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Title
Speech Emotion Recognition with Phonation Excitation Information and Articulatory KinematicsComputer Vision and Pattern Recognition (CVPR), 2025 Ziqian Zhang Min Huang Zhongzhe Xiao 16 0 0 11 Nov 2025
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance Jung-Ho Hong Woo-Jeoung Nam Kyu-Sung Jeon Seong-Whan Lee 159 3 0 21 Dec 2023
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual UnitsJournal of Computing Science and Engineering (JCSE), 2021 Woo-Jeoung Nam Seong-Whan Lee AAML FAtt 53 1 0 19 Jul 2021