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DCdetector: Dual Attention Contrastive Representation Learning for Time
  Series Anomaly Detection

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

17 June 2023
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
    AI4TS
ArXivPDFHTML

Papers citing "DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection"

14 / 14 papers shown
Title
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
Wenxin Zhang
Ding Xu
Guangzhen Yao
Xiaojian Lin
Renxiang Guan
Chengze Du
Renda Han
Xi Xuan
Cuicui Luo
AI4TS
54
0
0
02 May 2025
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Tian-Shing Lan
Yifei Gao
Yimeng Lu
Chen Zhang
53
0
0
01 May 2025
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
W. Zhang
X. Lin
Wenjun Yu
Guangzhen Yao
jingxiang Zhong
Y. Li
Renda Han
Songcheng Xu
Hao Shi
Cuicui Luo
AI4TS
31
0
0
19 Apr 2025
Decomposition-based multi-scale transformer framework for time series anomaly detection
Decomposition-based multi-scale transformer framework for time series anomaly detection
Wenxin Zhang
Cuicui Luo
AI4TS
23
0
0
19 Apr 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
Qingxiang Liu
Chenghao Liu
Sheng Sun
Di Yao
Yuxuan Liang
AI4TS
54
0
0
30 Jan 2025
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
0
0
18 Nov 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu
Xiangfei Qiu
Zhengyu Li
Yihang Wang
Jilin Hu
Chenjuan Guo
Hui Xiong
Bin Yang
AI4TS
61
12
0
16 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
X. Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
36
26
0
24 Sep 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong
Sekwang Oh
Jaesik Choi
AI4TS
39
0
0
06 Jun 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu
Beibu Li
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
53
5
0
24 May 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Shirui Pan
Mahsa Salehi
60
0
0
17 Apr 2024
Generative Semi-supervised Graph Anomaly Detection
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao
Qingsong Wen
Xiaoli Li
Ee-Peng Lim
Guansong Pang
37
7
0
19 Feb 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
33
6
0
18 Jan 2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
36
57
0
11 Jul 2023
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