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A Supervised Contrastive Learning Pretrain-Finetune Approach for Time
  Series

A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series

21 November 2023
Trang H. Tran
Lam M. Nguyen
Kyongmin Yeo
Nam H. Nguyen
Roman Vaculin
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series"

19 / 19 papers shown
Title
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Trang H. Tran
Lam M. Nguyen
K. Yeo
Nam H. Nguyen
Dzung Phan
Roman Vaculin
Jayant Kalagnanam
SyDaBDLAI4TS
64
4
0
01 Jun 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series
  Forecasting
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
Xue Wang
Tian Zhou
Qingsong Wen
Jinyang Gao
Bolin Ding
Rong Jin
AI4TS
68
44
0
20 May 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TSAIFin
137
809
0
05 Oct 2022
Less Is More: Fast Multivariate Time Series Forecasting with Light
  Sampling-oriented MLP Structures
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
Tianze Zhang
Yizhuo Zhang
Wei Cao
Jiang Bian
Xiaohan Yi
Shun Zheng
Jian Li
BDLAI4TS
142
168
0
04 Jul 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
125
288
0
17 Jun 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
72
122
0
08 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TS
81
165
0
03 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
246
1,429
0
30 Jan 2022
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSLOODAI4TS
76
277
0
18 Oct 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
Exploring Contrastive Learning in Human Activity Recognition for
  Healthcare
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
Chi Ian Tang
I. Perez-Pozuelo
Dimitris Spathis
Cecilia Mascolo
77
122
0
23 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
127
1,394
0
31 Oct 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
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
151
4,547
0
23 Apr 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
105
1,458
0
04 Dec 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
107
1,420
0
29 Jun 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSLAI4TS
53
452
0
30 Jan 2019
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
211
5,217
0
22 Dec 2015
An Introduction to Convolutional Neural Networks
An Introduction to Convolutional Neural Networks
K. O’Shea
Ryan Nash
FaMLHAI
76
3,152
0
26 Nov 2015
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