Deep Anomaly Detection with Outlier Exposure. Anonymous , 2018.
abstract   bibtex   
It is important to detect and handle anomalous inputs when deploying machine learning systems. The use of larger and more complex inputs in deep learning magnifies the difficulty of distinguishing.
@Article{Anonymous2018a,
author = {Anonymous}, 
title = {Deep Anomaly Detection with Outlier Exposure}, 
journal = {}, 
volume = {}, 
number = {}, 
pages = {}, 
year = {2018}, 
abstract = {It is important to detect and handle anomalous inputs when deploying machine learning systems. The use of larger and more complex inputs in deep learning magnifies the difficulty of distinguishing.}, 
location = {}, 
keywords = {}}

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