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Denoising-Aware Contrastive Learning for Noisy Time Series

Denoising-Aware Contrastive Learning for Noisy Time Series

7 June 2024
Shuang Zhou
Daochen Zha
Xiao Shen
Xiao Shi Huang
Rui Zhang
Fu-Lai Chung
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Denoising-Aware Contrastive Learning for Noisy Time Series"

17 / 17 papers shown
Title
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Haoran Zhang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
113
93
0
02 Feb 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for
  Multivariate Time Series
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Qianwen Meng
Hangwei Qian
Yong Liu
Li-zhen Cui
Yonghui Xu
Zhiqi Shen
AI4TS
55
35
0
02 Dec 2022
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
134
45
0
05 Oct 2022
Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
127
288
0
17 Jun 2022
Self-Supervised Time Series Representation Learning via Cross
  Reconstruction Transformer
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer
Wen-Rang Zhang
Ling Yang
Shijia Geng
Shenda Hong
ViTAI4TS
58
43
0
20 May 2022
Robust Probabilistic Time Series Forecasting
Robust Probabilistic Time Series Forecasting
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAMLAI4TS
51
18
0
24 Feb 2022
Detecting Anomalies within Time Series using Local Neural
  Transformations
Detecting Anomalies within Time Series using Local Neural Transformations
Tim Schneider
Chen Qiu
Marius Kloft
Decky Aspandi Latif
Steffen Staab
Stephan Mandt
Maja R. Rudolph
AI4TS
67
18
0
08 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
75
122
0
08 Feb 2022
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac
  Signals
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Xiang Lan
Dianwen Ng
linda Qiao
Mengling Feng
OOD
96
52
0
18 Sep 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
Paul Jeha
Michael Bohlke-Schneider
Pedro Mercado
Shubham Kapoor
Rajbir-Singh Nirwan
Valentin Flunkert
Jan Gasthaus
Tim Januschowski
AI4TS
78
51
0
02 Aug 2021
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
87
580
0
19 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
S. Tonekaboni
Danny Eytan
Anna Goldenberg
CMLSSLAI4TS
157
295
0
01 Jun 2021
Time Series Change Point Detection with Self-Supervised Contrastive
  Predictive Coding
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari
Daniel V. Smith
Hao Xue
Flora D. Salim
AI4TS
70
111
0
28 Nov 2020
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and
  Patients
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh
T. Zhu
David Clifton
73
194
0
27 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
The UCR Time Series Archive
The UCR Time Series Archive
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
64
832
0
17 Oct 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSAI4CE
325
2,701
0
12 Sep 2018
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