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Self-Supervised Time Series Representation Learning via Cross
  Reconstruction Transformer

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

20 May 2022
Wen-Rang Zhang
Ling Yang
Shijia Geng
Shenda Hong
    ViT
    AI4TS
ArXivPDFHTML

Papers citing "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer"

16 / 16 papers shown
Title
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
Jinqiao Wang
67
0
0
25 Feb 2025
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin
Haoyu Wang
Hongyan Li
Jun Yu Li
Jiahui Pan
Shenda Hong
94
7
0
15 Feb 2025
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang
Nils Strodthoff
72
5
0
10 Oct 2023
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
55
121
0
08 Feb 2022
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
60
24
0
20 Nov 2021
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
427
7,705
0
11 Nov 2021
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time
  Series
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg
Wenyu Zhang
Jules Samaran
R. Savitha
Chuan-Sheng Foo
AI4TS
78
225
0
23 Sep 2021
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
78
52
0
18 Sep 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
CML
SSL
AI4TS
146
291
0
01 Jun 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
452
3,422
0
09 Mar 2020
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
133
1,962
0
24 Jul 2019
ERNIE: Enhanced Language Representation with Informative Entities
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang
Xu Han
Zhiyuan Liu
Xin Jiang
Maosong Sun
Qun Liu
92
1,397
0
17 May 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSL
AI4TS
49
450
0
30 Jan 2019
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis
  in Multivariate Time Series Data
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh Chawla
AI4TS
144
696
0
20 Nov 2018
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
368
7,381
0
12 Sep 2016
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