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AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation
[article]
2019
arXiv
pre-print
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We also propose a method of applying AdaFlow to the unpaired cross-domain translation problem, in which one has to train a cross-domain translation model with only unpaired samples. ...
To address this difficulty, we propose AdaFlow, a new DNN-based density estimator that can be easily adapted to the change of the distribution. ...
APPLICATION TO UNPAIRED CROSS-DOMAIN TRANSLATION Though AdaFlow was originally designed for conducting density estimation on multiple domains, we demonstrate that it can be also used for the unpaired cross-domain ...
arXiv:1812.05796v2
fatcat:aj2undvyfbboxdmjksuyynlegy
Comparison of Anomaly Detectors: Context Matters
[article]
2021
arXiv
pre-print
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The objective of this comparison is twofold: to compare anomaly detection methods of various paradigms with focus on deep generative models, and identification of sources of variability that can yield ...
We identified the main sources of variability to be experimental conditions: i) the type data set (tabular or image) and the nature of anomalies (statistical or semantic), and ii) strategy of selection ...
[93] Masataka Yamaguchi, Yuma Koizumi, and Noboru
Harada. Adaflow: Domain-adaptive density estimator
with application to anomaly detection and unpaired
cross-domain translation. ...
arXiv:2012.06260v3
fatcat:min2zullxrbupf36o6uoeauwhi
Robust Audio Anomaly Detection
2022
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
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The presented approach doesn't assume the presence of labeled anomalies in the training dataset and uses a novel deep neural network architecture to learn the temporal dynamics of the multivariate time ...
We demonstrate the effectiveness of our approach in anomaly detection by comparing against several state-of-the-art models. ...
Adaflow: Domain-adaptive density estimator with application to anomaly detection and unpaired cross-domain translation. pp. 3647-3651. IEEE, 2019. ...
doi:10.48550/arxiv.2202.01784
fatcat:bkkdljcq65evnkgvldy25hgdte