Computationally Efficient Measures of Internal Neuron Importance

26 July 2018

Papers citing "Computationally Efficient Measures of Internal Neuron Importance"

7 / 7 papers shown

Title
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation Hong Li Xingyu Li Pengbo Hu Yinuo Lei Chunxiao Li Yi Zhou 49 22 0 15 Aug 2023
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization Mirtha Lucas Miguel A. Lerma J. Furst D. Raicu FAtt 27 8 0 22 May 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 27 64 0 24 Feb 2022
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 39 64 0 24 Jun 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 24 30 0 12 Feb 2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 17 25 0 15 Sep 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 51 82 0 17 Mar 2020