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arXiv · 2010.12754

Autoencoder Watchdog Outlier Detection for Classifiers

Justin Bui·Robert J Marks II
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Abstract

Neural networks have often been described as black boxes. A generic neural network trained to differentiate between kittens and puppies will classify a picture of a kumquat as a kitten or a puppy. An autoencoder watch dog screens trained classifier/regression machine input candidates before processing, e.g. to first test whether the neural network input is a puppy or a kitten. Preliminary results are presented using convolutional neural networks and convolutional autoencoder watchdogs using MNIST images.

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BibTeXRIS

Justin Bui, Robert J Marks II. 2020-10-24. Autoencoder Watchdog Outlier Detection for Classifiers. https://doi.org/10.5220/0010300509900996

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