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Utilizing Expert Features for Contrastive Learning of Time-Series
  Representations

Utilizing Expert Features for Contrastive Learning of Time-Series Representations

23 June 2022
Manuel Nonnenmacher
Lukas Oldenburg
Ingo Steinwart
David Reeb
    AI4TS
ArXivPDFHTML

Papers citing "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"

14 / 14 papers shown
Title
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale
  Traffic Forecasting
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
Tongtong Zhang
Zhiyong Cui
Bingzhang Wang
Yilong Ren
Haiyang Yu
Pan Deng
Yinhai Wang
AI4TS
70
0
0
18 Dec 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
From Orthogonality to Dependency: Learning Disentangled Representation
  for Multi-Modal Time-Series Sensing Signals
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
Ruichu Cai
Zhifan Jiang
Zijian Li
Weilin Chen
Xuexin Chen
Zhifeng Hao
Yifan Shen
Guan-Hong Chen
Kun Zhang
40
1
0
25 May 2024
Self-Supervised Learning for Time Series: Contrastive or Generative?
Self-Supervised Learning for Time Series: Contrastive or Generative?
Ziyu Liu
Azadeh Alavi
Minyi Li
Xiang Zhang
AI4TS
53
7
0
14 Mar 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
27
13
0
16 Feb 2024
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals
  in Factorized Orthogonal Latent Space
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu
Tomoyoshi Kimura
Dongxin Liu
Ruijie Wang
Jinyang Li
Suhas Diggavi
Mani B. Srivastava
Tarek F. Abdelzaher
AI4TS
51
24
0
30 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang
Yu Han
Haishuai Wang
Xiang Zhang
AI4TS
32
46
0
21 Oct 2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
32
17
0
03 Aug 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Yuxuan Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
117
102
0
16 Jun 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
31
50
0
18 May 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
32
13
0
13 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
Supervised Contrastive Learning with Hard Negative Samples
Supervised Contrastive Learning with Hard Negative Samples
Ruijie Jiang
Thuan Q. Nguyen
Prakash Ishwar
Shuchin Aeron
23
16
0
31 Aug 2022
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
178
685
0
10 Oct 2020
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