Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions
A method for explaining a deep learning model prediction is proposed. It uses a combination of the standard autoencoder and the variational autoencoder. The standard autoencoder is exploited to reconstruct original images and to produce hidden representation vectors. The variational autoencoder is t...
Main Authors: | Lev Utkin, Pavel Drobintsev, Maxim Kovalev, Andrei Konstantinov |
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Format: | Article |
Language: | English |
Published: |
FRUCT
2021-01-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://www.fruct.org/publications/fruct28/files/Utk.pdf |
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