Utilizing Expert Features for Contrastive Learning of Time-Series
Representations

Utilizing Expert Features for Contrastive Learning of Time-Series Representations

International Conference on Machine Learning (ICML), 2022

23 June 2022

Manuel Nonnenmacher

Lukas Oldenburg

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

14 / 14 papers shown

Title
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing Amin Jalali Milad Soltany Michael A. Greenspan Ali Etemad AI4TS 60 0 0 02 Oct 2025
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 261 2 0 18 Dec 2024
Denoising-Aware Contrastive Learning for Noisy Time SeriesInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Shuang Zhou Daochen Zha Xiao Shen Xiao Shi Huang Rui Zhang Fu-Lai Chung AI4TS 177 8 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 263 3 0 25 May 2024
Self-Supervised Learning for Time Series: Contrastive or Generative? Ziyu Liu Azadeh Alavi Minyi Li Xiang Zhang AI4TS 160 8 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 162 24 0 16 Feb 2024
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent SpaceNeural Information Processing Systems (NeurIPS), 2023 Shengzhong Liu Tomoyoshi Kimura Dongxin Liu Ruijie Wang Jinyang Li Suhas Diggavi Mani B. Srivastava Tarek Abdelzaher AI4TS 178 46 0 30 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-SeriesNeural Information Processing Systems (NeurIPS), 2023 Yihe Wang Yu Han Haishuai Wang Xiang Zhang AI4TS 228 76 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 135 28 0 03 Aug 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 382 180 0 16 Jun 2023
A Survey on Time-Series Pre-Trained ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 221 87 0 18 May 2023
Label-efficient Time Series Representation Learning: A ReviewIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Ruibing Jin C. Kwoh Xiaoli Li AI4TS 331 26 0 13 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series ModelingNeural Information Processing Systems (NeurIPS), 2023 Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 390 135 0 02 Feb 2023
Supervised Contrastive Learning with Hard Negative SamplesIEEE International Joint Conference on Neural Network (IJCNN), 2022 Ruijie Jiang Thuan Q. Nguyen Prakash Ishwar Shuchin Aeron 222 26 0 31 Aug 2022