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Latent Outlier Exposure for Anomaly Detection with Contaminated Data

Latent Outlier Exposure for Anomaly Detection with Contaminated Data

16 February 2022
Chen Qiu
Aodong Li
Marius Kloft
Maja R. Rudolph
Stephan Mandt
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Papers citing "Latent Outlier Exposure for Anomaly Detection with Contaminated Data"

6 / 6 papers shown
Title
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
27
1
0
29 May 2024
Label-Free Multivariate Time Series Anomaly Detection
Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou
Shibo He
Haoyu Liu
Jiming Chen
Wenchao Meng
AI4TS
19
10
0
17 Dec 2023
Deep Anomaly Detection under Labeling Budget Constraints
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li
Chen Qiu
Marius Kloft
Padhraic Smyth
Stephan Mandt
Maja R. Rudolph
10
13
0
15 Feb 2023
Unsupervised Anomaly Detection for Auditing Data and Impact of
  Categorical Encodings
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Ajay Chawda
S. Grimm
Marius Kloft
12
4
0
25 Oct 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label
Detecting Multivariate Time Series Anomalies with Zero Known Label
Qihang Zhou
Jiming Chen
Haoyu Liu
Shibo He
Wenchao Meng
AI4TS
27
22
0
03 Aug 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
22
294
0
19 Jun 2022
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