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

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 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 Shuang Zhou Daochen Zha Xiao Shen Xiao Shi Huang Rui Zhang Fu-Lai Chung AI4TS 27 0 0 07 Jun 2024
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 24 1 0 25 May 2024
Self-Supervised Learning for Time Series: Contrastive or Generative? Ziyu Liu Azadeh Alavi Minyi Li Xiang Zhang AI4TS 34 7 0 14 Mar 2024
Parametric Augmentation for Time Series Contrastive Learning Xu Zheng Tianchun Wang Wei Cheng Aitian Ma Haifeng Chen Mo Sha Dongsheng Luo AI4TS 17 12 0 16 Feb 2024
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 39 21 0 30 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Yihe Wang Yu Han Haishuai Wang Xiang Zhang AI4TS 14 21 0 21 Oct 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 25 17 0 03 Aug 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Z. Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 19 50 0 18 May 2023
Label-efficient Time Series Representation Learning: A Review Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 25 13 0 13 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 13 82 0 02 Feb 2023
Supervised Contrastive Learning with Hard Negative Samples Ruijie Jiang Thuan Q. Nguyen Prakash Ishwar Shuchin Aeron 11 16 0 31 Aug 2022
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 146 670 0 10 Oct 2020