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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

16 June 2023
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
Yong Liu
James Y. Zhang
Y. Liang
Guansong Pang
Dongjin Song
Shirui Pan
    AI4TS
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Papers citing "Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects"

18 / 18 papers shown
Title
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Muyao Zhong
Yushi Lin
Peng Yang
AI4TS
27
0
0
04 May 2025
DCdetector: Dual Attention Contrastive Representation Learning for Time
  Series Anomaly Detection
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
70
28
0
17 Jun 2023
GT-GAN: General Purpose Time Series Synthesis with Generative
  Adversarial Networks
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Jinsung Jeon
Jeonghak Kim
Haryong Song
Seunghyeon Cho
Noseong Park
AI4TS
54
25
0
05 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
199
800
0
02 Sep 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
104
266
0
21 May 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
103
102
0
18 May 2022
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
93
357
0
03 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
249
5,353
0
11 Nov 2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim
K. Choi
Hyun-Soo Choi
Byunghan Lee
Sungroh Yoon
AI4TS
56
102
0
11 Sep 2021
Neural Contextual Anomaly Detection for Time Series
Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona
Franccois-Xavier Aubet
Valentin Flunkert
Jan Gasthaus
BDL
AI4TS
42
54
0
16 Jul 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
88
142
0
25 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
86
175
0
18 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
139
2,327
0
14 Dec 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
138
554
0
10 Oct 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
217
1,281
0
18 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
253
8,946
0
12 Dec 2018
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
51
471
0
29 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
194
7,006
0
21 Nov 2016
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