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Weakly Augmented Variational Autoencoder in Time Series Anomaly
  Detection

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection

7 January 2024
Zhangkai Wu
LongBing Cao
Qi Zhang
Junxian Zhou
Hui Chen
ArXivPDFHTML

Papers citing "Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection"

2 / 2 papers shown
Title
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Y. Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
109
97
0
16 Jun 2023
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
111
391
0
03 Feb 2022
1