Latent Outlier Exposure for Anomaly Detection with Contaminated Data

16 February 2022

Papers citing "Latent Outlier Exposure for Anomaly Detection with Contaminated Data"

7 / 7 papers shown

Title
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 35 1 0 29 May 2024
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 Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 30 13 0 15 Feb 2023
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Ajay Chawda S. Grimm Marius Kloft 24 4 0 25 Oct 2022
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
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 21 11 0 24 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 30 295 0 19 Jun 2022