A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions

Author:

Wang Pei1ORCID,Vasconcelos Nuno1

Affiliation:

1. Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA

Funder

NSF

NVIDIA GPU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference100 articles.

1. Generative Counterfactual Introspection for Explainable Deep Learning

2. Interpretable counterfactual explanations guided by prototypes;van looveren,2019

3. Explaining in Style: Training a GAN to explain a classifier in StyleSpace

4. Visualizing deep neural network decisions: Prediction difference analysis;zintgraf;Proc Int Conf Learn Representations,2017

5. A unified approach to interpreting model predictions;lundberg;Proc Int Conf Neural Inf Process,2017

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