Output-targeted baseline for neuron attribution calculation
- 1 August 2022
- journal article
- research article
- Published by Elsevier BV in Image and Vision Computing
Abstract
No abstract availableKeywords
Funding Information
- Japan Society for the Promotion of Science (20H04203)
This publication has 13 references indexed in Scilit:
- LRP-Based path relevances for global explanation of deep architecturesNeurocomputing, 2019
- Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution SummarizationsIEEE Transactions on Visualization and Computer Graphics, 2019
- Top-Down Neural Attention by Excitation BackpropInternational Journal of Computer Vision, 2017
- Interpretable Explanations of Black Boxes by Meaningful PerturbationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Explaining nonlinear classification decisions with deep Taylor decompositionPattern Recognition, 2017
- On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance PropagationPLOS ONE, 2015
- The Pascal Visual Object Classes Challenge: A RetrospectiveInternational Journal of Computer Vision, 2014
- Polynomial calculation of the Shapley value based on samplingComputers & Operations Research, 2009
- Algorithm 778: L-BFGS-BACM Transactions on Mathematical Software, 1997
- Regression Shrinkage and Selection Via the LassoJournal of the Royal Statistical Society: Series B (Methodological), 1996