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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
ArXivPDFHTML

Papers citing "Time-Series Representation Learning via Temporal and Contextual Contrasting"

50 / 207 papers shown
Title
Omni-Dimensional Frequency Learner for General Time Series Analysis
Omni-Dimensional Frequency Learner for General Time Series Analysis
Xianing Chen.Hanting Chen
Hanting Chen
Hailin Hu
AI4TS
37
0
0
15 Jul 2024
Guidelines for Augmentation Selection in Contrastive Learning for Time
  Series Classification
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
Ziyu Liu
Azadeh Alavi
Minyi Li
Xiang Zhang
AI4TS
27
2
0
12 Jul 2024
Capturing Temporal Components for Time Series Classification
Capturing Temporal Components for Time Series Classification
Venkata Ragavendra Vavilthota
Ranjith Ramanathan
Sathyanarayanan N. Aakur
28
0
0
20 Jun 2024
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in
  Cardiovascular System Signals
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
Qihan Hu
Daomiao Wang
Hong Wu
Jian Liu
Cuiwei Yang
38
0
0
13 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
Denoising-Aware Contrastive Learning for Noisy Time Series
Shuang Zhou
Daochen Zha
Xiao Shen
Xiao Shi Huang
Rui Zhang
Fu-Lai Chung
AI4TS
32
0
0
07 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person
  Generalization in Activity Recognition
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
Junru Zhang
Lang Feng
Zhidan Liu
Yuhan Wu
Yang He
Yabo Dong
Duanqing Xu
27
1
0
07 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md. Atik Ahamed
Qiang Cheng
Mamba
66
1
0
06 Jun 2024
CAP: A Context-Aware Neural Predictor for NAS
CAP: A Context-Aware Neural Predictor for NAS
Han Ji
Yuqi Feng
Yanan Sun
29
0
0
04 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with
  Temporal Imputation
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Min-man Wu
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
40
2
0
04 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
An Unsupervised Approach for Periodic Source Detection in Time Series
B. U. Demirel
Christian Holz
AI4TS
44
1
0
01 Jun 2024
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with
  LLM-Enhanced Cardiological Text
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
Han Yu
Peikun Guo
Akane Sano
34
15
0
26 May 2024
ROSE: Register Assisted General Time Series Forecasting with Decomposed
  Frequency Learning
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Yihang Wang
Yuying Qiu
Peng Chen
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
AI4CE
36
10
0
24 May 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from
  Intracranial Neural signals
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Hui Zheng
Haiteng Wang
Wei-Bang Jiang
Zhongtao Chen
Li He
Pei-Yang Lin
Peng-Hu Wei
Guo-Guang Zhao
Yun-Zhe Liu
52
1
0
19 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series
  Models
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
AI4TS
48
3
0
17 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion
  Process and Imputation-Interpolation-Forecasting Mask
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
Zineb Senane
Lele Cao
V. Buchner
Yusuke Tashiro
Lei You
P. Herman
Mats Nordahl
Ruibo Tu
Vilhelm von Ehrenheim
DiffM
AI4TS
22
10
0
09 May 2024
Representation Learning of Daily Movement Data Using Text Encoders
Representation Learning of Daily Movement Data Using Text Encoders
Alexander Capstick
Tianyu Cui
Yu Chen
Payam Barnaghi
AI4TS
28
2
0
07 May 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based
  Cross-Center Brain Disease Diagnosis under Unreliable Annotations
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
Zhenxi Song
Ruihan Qin
Huixia Ren
Zhen Liang
Yi Guo
Min Zhang
Zhiguo Zhang
21
1
0
29 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
Xiaoli Li
AI4TS
AIFin
36
36
0
12 Apr 2024
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies
Haili Sun
Yan-Ming Huang
Lansheng Han
Cai Fu
Chunjie Zhou
17
0
0
12 Apr 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep
  Stage Classification Using Single-Channel EEG
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
37
5
0
10 Apr 2024
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for
  Explorable Time Series Analysis
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
Zhiyu Liang
Cheng Liang
Zheng Liang
Hongzhi Wang
Bo Zheng
21
1
0
07 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
36
19
0
30 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing
Yansen Wang
Guoxin Sui
Jing Hong
Jingrui He
Yuqing Yang
Dongsheng Li
Kan Ren
AI4TS
32
6
0
19 Mar 2024
Learning Transferable Time Series Classifier with Cross-Domain
  Pre-training from Language Model
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model
Mingyue Cheng
Xiaoyu Tao
Qi Liu
Hao Zhang
Yiheng Chen
Chenyi Lei
AI4TS
33
4
0
19 Mar 2024
Advancing Time Series Classification with Multimodal Language Modeling
Advancing Time Series Classification with Multimodal Language Modeling
Mingyue Cheng
Yiheng Chen
Qi Liu
Zhiding Liu
Yucong Luo
AI4TS
33
11
0
19 Mar 2024
Time Series Representation Learning with Supervised Contrastive Temporal
  Transformer
Time Series Representation Learning with Supervised Contrastive Temporal Transformer
Yuansan Liu
S. Wijewickrema
C. Bester
Stephen O'Leary
James Bailey
AI4TS
28
1
0
16 Mar 2024
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Md. Atik Ahamed
Qiang Cheng
Mamba
AI4TS
66
47
0
14 Mar 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time
  Clinical Knowledge Enhancement
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
Che Liu
Zhongwei Wan
Ouyang Cheng
Anand Shah
Wenjia Bai
Rossella Arcucci
37
28
0
11 Mar 2024
A Scalable and Transferable Time Series Prediction Framework for Demand
  Forecasting
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
Young-Jin Park
Donghyun Kim
Frédéric Odermatt
Juho Lee
KyungHyun Kim
AI4TS
42
3
0
29 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series
  Forecasting
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Zhiding Liu
Jiqian Yang
Mingyue Cheng
Yucong Luo
Zhi Li
AI4TS
27
14
0
26 Feb 2024
United We Pretrain, Divided We Fail! Representation Learning for Time
  Series by Pretraining on 75 Datasets at Once
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once
Maurice Kraus
Felix Divo
David Steinmann
D. Dhami
Kristian Kersting
AI4TS
36
0
0
23 Feb 2024
EEG2Rep: Enhancing Self-supervised EEG Representation Through
  Informative Masked Inputs
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
Navid Mohammadi Foumani
G. Mackellar
Soheila Ghane
Saad Irtza
Nam Nguyen
Mahsa Salehi
14
14
0
17 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
22
13
0
16 Feb 2024
Bidirectional Generative Pre-training for Improving Time Series
  Representation Learning
Bidirectional Generative Pre-training for Improving Time Series Representation Learning
Ziyang Song
Qincheng Lu
He Zhu
Yue Li
AI4TS
14
3
0
14 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation
  Learning
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning
Yuxuan Bian
Xu Ju
Jiangtong Li
Zhijian Xu
Dawei Cheng
Qiang Xu
AI4TS
KELM
30
19
0
07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFin
AI4TS
71
111
0
06 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
21
2
0
31 Jan 2024
Distillation Enhanced Time Series Forecasting Network with Momentum
  Contrastive Learning
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning
Haozhi Gao
Qianqian Ren
Jinbao Li
AI4TS
29
2
0
31 Jan 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
Large Language Model Guided Knowledge Distillation for Time Series
  Anomaly Detection
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
Chen Liu
Shibo He
Qihang Zhou
Shizhong Li
Wenchao Meng
AI4TS
28
15
0
26 Jan 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
M. A. Ma'sum
MD Rasel Sarkar
Mahardhika Pratama
Savitha Ramasamy
S. Anavatti
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
AI4TS
27
0
0
25 Jan 2024
Data Augmentation for Traffic Classification
Data Augmentation for Traffic Classification
Chao Wang
A. Finamore
Pietro Michiardi
Massimo Gallo
Dario Rossi
37
6
0
19 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
33
6
0
18 Jan 2024
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG
  Foundation Model
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
Yuqi Chen
Kan Ren
Kaitao Song
Yansen Wang
Yifan Wang
Dongsheng Li
Lili Qiu
36
15
0
11 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
32
12
0
09 Jan 2024
Universal Time-Series Representation Learning: A Survey
Universal Time-Series Representation Learning: A Survey
Patara Trirat
Yooju Shin
Junhyeok Kang
Youngeun Nam
Jihye Na
Minyoung Bae
Joeun Kim
Byunghyun Kim
Jae-Gil Lee
AI4TS
73
15
0
08 Jan 2024
Learning to Embed Time Series Patches Independently
Learning to Embed Time Series Patches Independently
Seunghan Lee
Taeyoung Park
Kibok Lee
SSL
AI4TS
20
27
0
27 Dec 2023
Soft Contrastive Learning for Time Series
Soft Contrastive Learning for Time Series
Seunghan Lee
Taeyoung Park
Kibok Lee
AI4TS
27
19
0
27 Dec 2023
TimesURL: Self-supervised Contrastive Learning for Universal Time Series
  Representation Learning
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
Jiexi Liu
Songcan Chen
AI4TS
13
32
0
25 Dec 2023
SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised
  Temporal Action Segmentation
SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation
Feixiang Zhou
Zheheng Jiang
Huiyu Zhou
Xuelong Li
24
0
0
19 Dec 2023
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