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Time-Series Representation Learning via Temporal and Contextual
  Contrasting

Time-Series Representation Learning via Temporal and Contextual Contrasting

26 June 2021
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
    AI4TS
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Papers citing "Time-Series Representation Learning via Temporal and Contextual Contrasting"

50 / 207 papers shown
Title
Correlated Time Series Self-Supervised Representation Learning via
  Spatiotemporal Bootstrapping
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
Luxuan Wang
Lei Bai
Ziyue Li
Rui Zhao
Fugee Tsung
AI4TS
SSL
32
13
0
12 Jun 2023
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological
  Representation Learning
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
Philipp Hallgarten
David Bethge
Ozan Özdenizci
T. Große-Puppendahl
Enkelejda Kasneci
AI4TS
11
0
0
10 Jun 2023
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak
  Signals
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals
Amila Silva
Ling Luo
S. Karunasekera
C. Leckie
17
5
0
18 May 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Z. Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
31
50
0
18 May 2023
EENED: End-to-End Neural Epilepsy Detection based on Convolutional
  Transformer
EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer
Chenyu Liu
Xin-qiu Zhou
Yang Liu
ViT
MedIm
18
1
0
17 May 2023
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection
  on Multiple Energy Sources
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources
Taehee Kim
Yuxing Tang
16
0
0
01 May 2023
Self-supervised Activity Representation Learning with Incremental Data:
  An Empirical Study
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study
Jason Liu
Shohreh Deldari
Hao Xue
Van-Hau Nguyen
Flora D. Salim
AI4TS
CLL
SSL
24
2
0
01 May 2023
Full Scaling Automation for Sustainable Development of Green Data Centers
Full Scaling Automation for Sustainable Development of Green Data Centers
Shiyu Wang
Yinbo Sun
X. Shi
Shiyi Zhu
Linfao Ma
James Y. Zhang
Yifei Zheng
Jian Liu
30
8
0
01 May 2023
UniTS: A Universal Time Series Analysis Framework with Self-supervised
  Representation Learning
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning
Zhiyu Liang
Cheng Liang
Zheng Liang
Hongzhi Wang
SSL
AI4TS
20
1
0
24 Mar 2023
Time Series Contrastive Learning with Information-Aware Augmentations
Time Series Contrastive Learning with Information-Aware Augmentations
Dongsheng Luo
Wei Cheng
Yingheng Wang
Dongkuan Xu
Jingchao Ni
...
Xuchao Zhang
Yanchi Liu
Yuncong Chen
Haifeng Chen
Xiang Zhang
AI4TS
24
55
0
21 Mar 2023
Multi-Task Self-Supervised Time-Series Representation Learning
Multi-Task Self-Supervised Time-Series Representation Learning
Heejeong Choi
Pilsung Kang
AI4TS
SSL
52
11
0
02 Mar 2023
TimeMAE: Self-Supervised Representations of Time Series with Decoupled
  Masked Autoencoders
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
Mingyue Cheng
Qi Liu
Zhiding Liu
Haotong Zhang
Rujiao Zhang
Enhong Chen
AI4TS
29
42
0
01 Mar 2023
Label-efficient Time Series Representation Learning: A Review
Label-efficient Time Series Representation Learning: A Review
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
27
13
0
13 Feb 2023
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair
  Mining Approach
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Xiang Lan
Hanshu Yan
linda Qiao
Mengling Feng
AI4TS
21
6
0
07 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDL
AI4TS
30
93
0
06 Feb 2023
Style Feature Extraction Using Contrastive Conditioned Variational
  Autoencoders with Mutual Information Constraints
Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints
S. Yasutomi
Toshihisa Tanaka
SSL
DRL
19
0
0
03 Feb 2023
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
29
82
0
02 Feb 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Zhe Li
Zhongwen Rao
Lujia Pan
Pengyun Wang
Zenglin Xu
AI4TS
26
49
0
21 Jan 2023
Unsupervised Multivariate Time-Series Transformers for Seizure
  Identification on EEG
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
.Ilkay Yildiz Potter
George Zerveas
Carsten Eickhoff
D. Duncan
6
12
0
03 Jan 2023
Convolution-enhanced Evolving Attention Networks
Convolution-enhanced Evolving Attention Networks
Yujing Wang
Yaming Yang
Zhuowan Li
Jiangang Bai
Mingliang Zhang
Xiangtai Li
J. Yu
Ce Zhang
Gao Huang
Yu Tong
ViT
24
6
0
16 Dec 2022
Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
19
29
0
03 Dec 2022
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
23
33
0
02 Dec 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFin
AI4TS
27
1,205
0
27 Nov 2022
DyG2Vec: Efficient Representation Learning for Dynamic Graphs
DyG2Vec: Efficient Representation Learning for Dynamic Graphs
Mohammad Ali Alomrani
Mahdi Biparva
Yingxue Zhang
Mark J. Coates
AI4TS
36
3
0
30 Oct 2022
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT
  Devices
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices
Oshan Jayawardena
Fariza Rashid
Suranga Seneviratne
11
0
0
24 Oct 2022
Self-supervised Learning for Label-Efficient Sleep Stage Classification:
  A Comprehensive Evaluation
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
18
23
0
10 Oct 2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep
  Stage Recognition
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
Jianchao Lu
Yuzhe Tian
Shuang Wang
Michael Sheng
Xianglin Zheng
GNN
27
6
0
26 Sep 2022
A Novel Semi-supervised Meta Learning Method for Subject-transfer
  Brain-computer Interface
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface
Jingcong Li
Fei Wang
Haiyun Huang
Feifei Qi
Jiahui Pan
19
31
0
07 Sep 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
224
1,302
0
02 Sep 2022
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault
  Diagnosis in Chemical Processes
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes
Maksim Golyadkin
Vitaliy Pozdnyakov
L. Zhukov
Ilya Makarov
22
8
0
17 Aug 2022
Multi-level Contrast Network for Wearables-based Joint Activity
  Segmentation and Recognition
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Songpengcheng Xia
Lei Chu
Ling Pei
Wenxi Yu
Robert C. Qiu
15
2
0
16 Aug 2022
Self-supervised Contrastive Representation Learning for Semi-supervised
  Time-Series Classification
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
SSL
AI4TS
9
80
0
13 Aug 2022
COCOA: Cross Modality Contrastive Learning for Sensor Data
COCOA: Cross Modality Contrastive Learning for Sensor Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Daniel V. Smith
Flora D. Salim
SSL
40
38
0
31 Jul 2022
Respecting Time Series Properties Makes Deep Time Series Forecasting
  Perfect
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect
Li Shen
Yuning Wei
Yangzhu Wang
AI4TS
16
8
0
22 Jul 2022
Utilizing Expert Features for Contrastive Learning of Time-Series
  Representations
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher
Lukas Oldenburg
Ingo Steinwart
David Reeb
AI4TS
21
21
0
23 Jun 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
25
272
0
17 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
26
45
0
13 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
25
37
0
06 Jun 2022
Analysis of Augmentations for Contrastive ECG Representation Learning
Analysis of Augmentations for Contrastive ECG Representation Learning
S. Soltanieh
Ali Etemad
J. Hashemi
SSL
16
19
0
30 May 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
ViT
AI4TS
37
41
0
20 May 2022
Large Scale Time-Series Representation Learning via Simultaneous Low and
  High Frequency Feature Bootstrapping
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping
Vandan Gorade
Azad Singh
Deepak Mishra
SSL
AI4TS
17
7
0
24 Apr 2022
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised
  Neurological Pretraining
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
Di Wu
Siyuan Li
Jie Yang
Mohamad Sawan
SSL
28
14
0
20 Apr 2022
mulEEG: A Multi-View Representation Learning on EEG Signals
mulEEG: A Multi-View Representation Learning on EEG Signals
Vamsi Kumar
Likith Reddy
Shivam Kumar Sharma
Kamalakar Dadi
Chiranjeevi Yarra
B. Raju
Srijithesh P. Rajendran
11
16
0
07 Apr 2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Wee Ling Tan
Chuan-Sheng Foo
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
TTA
OOD
AI4TS
19
66
0
15 Mar 2022
CaSS: A Channel-aware Self-supervised Representation Learning Framework
  for Multivariate Time Series Classification
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Yijiang Chen
Xiangdong Zhou
Zhen Xing
Zhidan Liu
Minyang Xu
AI4TS
SSL
19
5
0
08 Mar 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
36
85
0
22 Feb 2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based
  Tasks?
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Hangwei Qian
Tian Tian
C. Miao
SSL
28
50
0
12 Feb 2022
Similarity learning for wells based on logging data
Similarity learning for wells based on logging data
Evgenia Romanenkova
Alina Rogulina
A. Shakirov
N. Stulov
Alexey Zaytsev
L. Ismailova
D. Kovalev
Klemens Katterbauer
A. Alshehri
17
16
0
11 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
25
119
0
08 Feb 2022
Contrastive predictive coding for Anomaly Detection in Multi-variate
  Time Series Data
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Theivendiram Pranavan
Terence Sim
Arulmurugan Ambikapathi
Savitha Ramasamy
AI4TS
26
7
0
08 Feb 2022
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