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ARES: Locally Adaptive Reconstruction-based Anomaly Scoring

ARES: Locally Adaptive Reconstruction-based Anomaly Scoring

15 June 2022
Adam Goodge
Bryan Hooi
See Kiong Ng
Wee Siong Ng
ArXivPDFHTML

Papers citing "ARES: Locally Adaptive Reconstruction-based Anomaly Scoring"

6 / 6 papers shown
Title
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural
  Networks
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge
Bryan Hooi
See Kiong Ng
Wee Siong Ng
42
108
0
10 Dec 2021
Deep Nearest Neighbor Anomaly Detection
Deep Nearest Neighbor Anomaly Detection
Liron Bergman
Niv Cohen
Yedid Hoshen
UQCV
79
160
0
24 Feb 2020
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
100
434
0
04 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
268
8,876
0
25 Aug 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
204
1,351
0
19 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
263
78
0
26 May 2016
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