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MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction

MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction

Xu Tan
Jiawei Yang
Junqi Chen
S. Rahardja
S. Rahardja
    UQCV
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Papers citing "MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction"

3 / 3 papers shown
Title
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Seonho Park
George Adosoglou
P. Pardalos
DRL
UQCV
34
16
0
05 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015