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Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

6 October 2021

Papers citing "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy"

35 / 185 papers shown

Title
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 96 104 0 06 Jul 2023
Precursor-of-Anomaly Detection for Irregular Time Series Sheo Yon Jhin Jaehoon Lee Noseong Park AI4TS 50 9 0 27 Jun 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection Yiyuan Yang Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 183 131 0 17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 229 115 0 16 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 128 23 0 14 Jun 2023
RITA: Group Attention is All You Need for Timeseries Analytics Jiaming Liang Lei Cao Samuel Madden Z. Ives Guoliang Li AI4TS 46 1 0 02 Jun 2023
Diagnostic Spatio-temporal Transformer with Faithful Encoding Jokin Labaien T. Idé Pin-Yu Chen E. Zugasti Xabier De Carlos 94 3 0 26 May 2023
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision Han Gao Huiyuan Luo Fei Shen Zhengtao Zhang 62 6 0 25 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 103 55 0 18 May 2023
Evaluation Strategy of Time-series Anomaly Detection with Decay Function Yongwan Gim Kyushik Min 69 0 0 15 May 2023
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme Yungi Jeong Eu-Hui Yang Jung Hyun Ryu Imseong Park Myung-joo Kang ViT AI4TS 72 31 0 08 May 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li Shiyang Li Xifeng Yan AI4TS 94 58 0 01 Mar 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 156 439 0 23 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 87 33 0 17 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 142 94 0 02 Feb 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series Usman Anjum Samuel Lin J. Zhan AI4TS 35 0 0 30 Jan 2023
Semi-Structured Object Sequence Encoders V. Rudramurthy Riyaz Ahmad Bhat Chulaka Gunasekara Siva Sankalp Patel H. Wan Tejas I. Dhamecha Danish Contractor Marina Danilevsky 118 0 0 03 Jan 2023
A principled distributional approach to trajectory similarity measurement Yufan Wang Kai Ming Ting Yuanyi Shang 37 0 0 01 Jan 2023
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks Miao Ye Qinghao Zhang Xingsi Xue Yong Wang Qiuxiang Jiang Hongbing Qiu 33 0 0 26 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark Fanxing Liu Cheng Zeng Le Zhang Yingjie Zhou Qing Mu Yanru Zhang Ling Zhang Ce Zhu OOD FedML AI4TS 91 8 0 19 Dec 2022
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 84 162 0 09 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 89 69 0 18 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 154 842 0 05 Oct 2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection Neelu Madan Nicolae-Cătălin Ristea Radu Tudor Ionescu Kamal Nasrollahi Fahad Shahbaz Khan T. Moeslund M. Shah ViT MedIm 341 70 0 25 Sep 2022
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics Alexander Beattie Pavol Mulinka Subham S. Sahoo I. Christou Charalampos Kalalas Daniel Gutierrez-Rojas P. H. Nardelli 33 6 0 23 Sep 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 104 22 0 03 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 98 50 0 25 Jul 2022
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect Li Shen Yuning Wei Yangzhu Wang AI4TS 101 8 0 22 Jul 2022
Do we really need temporal convolutions in action segmentation? Dazhao Du Fuchun Sun Yu Li Zhongang Qi Hui Xiong Ying Shan ViT 67 17 0 26 May 2022
Crypto Pump and Dump Detection via Deep Learning Techniques Viswanath Chadalapaka Kyle Chang Gireesh Mahajan Anuj Vasil 36 3 0 10 May 2022
Transformers in Time-series Analysis: A Tutorial Sabeen Ahmed Ian E. Nielsen Aakash Tripathi Shamoon Siddiqui Ghulam Rasool R. Ramachandran AI4TS 88 161 0 28 Apr 2022
TiSAT: Time Series Anomaly Transformer Keval Doshi Shatha Abudalou Yasin Yılmaz AI4TS 84 17 0 10 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection Luca Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 37 2 0 25 Feb 2022
StackVAE-G: An efficient and interpretable model for time series anomaly detection Wenkai Li Wenbo Hu Ting Chen Ning Chen Cheng Feng BDL AI4TS 28 6 0 18 May 2021
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Mathias Perslev M. Jensen S. Darkner P. Jennum Christian Igel AI4TS 138 251 0 24 Oct 2019