Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

17 June 2022

Xiang Zhang

Ziyuan Zhao

Theodoros Tsiligkaridis

Marinka Zitnik

AI4TS

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Papers citing "Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency"

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Interpretable time series neural representation for classification purposes E. L. Naour G. Agoua Nicolas Baskiotis Vincent Guigue AI4TS 19 0 0 25 Oct 2023
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
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Keli Zhang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 35 118 0 16 Oct 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification Hui Cai Xiang Zhang Xiaofeng Liu AI4TS 33 0 0 13 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining Chenguo Lin Xumeng Wen Wei Cao Congrui Huang Jiang Bian Stephen Lin Zhirong Wu AI4TS 41 4 0 11 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan Ö. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 35 123 0 08 Oct 2023
Toward a Foundation Model for Time Series Data Chin-Chia Michael Yeh Xin Dai Huiyuan Chen Yan Zheng Yujie Fan ... Vivian Lai Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang AI4TS AI4CE 36 25 0 05 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Keli Zhang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 53 358 0 03 Oct 2023
Scaling Representation Learning from Ubiquitous ECG with State-Space Models Kleanthis Avramidis Dominika Kunc Bartosz Perz Kranti Adsul Tiantian Feng Przemyslaw Kazienko Stanisław Saganowski Shrikanth Narayanan AI4TS 36 3 0 26 Sep 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning B. U. Demirel Christian Holz AI4TS 24 18 0 23 Sep 2023
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning A. Atienza J. Bardram S. Puthusserypady AI4TS 20 0 0 14 Sep 2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals Ran Liu Ellen L. Zippi Hadi Pouransari Chris Sandino Jingping Nie Hanlin Goh Erdrin Azemi Ali Moin 39 12 0 12 Sep 2023
Examining the Effect of Pre-training on Time Series Classification Jiashu Pu Shiwei Zhao Ling Cheng Yongzhu Chang Runze Wu Tangjie Lv Rongsheng Zhang AI4TS 36 0 0 11 Sep 2023
Graph-Aware Contrasting for Multivariate Time-Series Classification Yucheng Wang Yuecong Xu Jianfei Yang Min-man Wu Xiaoli Li Lihua Xie Zhenghua Chen AI4TS 21 15 0 11 Sep 2023
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series Nicasia Beebe-Wang Sayna Ebrahimi Jinsung Yoon Sercan Ö. Arik Tomas Pfister AI4TS 21 3 0 25 Aug 2023
A Co-training Approach for Noisy Time Series Learning Jiexia Ye Jianfeng Zhang Jia Li Fugee Tsung AI4TS 36 12 0 24 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 38 46 0 16 Aug 2023
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals Hyewon Jeong Collin M. Stultz Marzyeh Ghassemi 25 4 0 09 Aug 2023
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach Chunwei Yang Xiaoxu Chen Lijun Sun Hongyu Yang Yuankai Wu AI4TS 30 3 0 02 Aug 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series Aniruddh Raghu P. Chandak Ridwan Alam John Guttag Collin M. Stultz AI4TS 25 13 0 20 Jul 2023
Multi-view self-supervised learning for multivariate variable-channel time series Thea Brusch Mikkel N. Schmidt T. S. Alstrøm BDL SSL AI4TS 22 7 0 13 Jul 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 Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 117 102 0 16 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 37 17 0 03 Jun 2023
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs Xinlan Dai Yujie Fan Zhongfang Zhuang Shubham Jain Chin-Chia Michael Yeh Junpeng Wang Liang Wang Yan Zheng Prince Osei Aboagye Wei Zhang 14 1 0 02 Jun 2023
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
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps Yanfang Li Huan Wang Muxia Sun LM&MA AI4TS AI4CE 29 46 0 10 May 2023
BIOT: Cross-data Biosignal Learning in the Wild Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun 13 9 0 10 May 2023
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning Zhiyu Liang Cheng Liang Zheng Liang Hongzhi Wang SSL AI4TS 20 1 0 24 Mar 2023
Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection Lichin Chen Kuo-Hsuan Hung Y. Tseng Hsin-Yao Wang T. Lu Wei-Chieh Huang Yu Tsao 24 7 0 13 Mar 2023
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders Mingyue Cheng Qi Liu Zhiding Liu Haotong Zhang Rujiao Zhang Enhong Chen AI4TS 39 42 0 01 Mar 2023
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
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach Xiang Lan Hanshu Yan linda Qiao Mengling Feng AI4TS 29 6 0 07 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts Huan He Owen Queen Teddy Koker Consuelo Cuevas Theodoros Tsiligkaridis Marinka Zitnik AI4TS 28 60 0 06 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Navid Mohammadi Foumani Lynn Miller Chang Wei Tan G. I. Webb Germain Forestier Mahsa Salehi BDL AI4TS 33 93 0 06 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 57 22 0 04 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 31 82 0 02 Feb 2023
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 39 129 0 09 Nov 2022
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan SSL AI4TS 9 80 0 13 Aug 2022
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition Haoning Kan Jiale Yu Jiajin Huang Zihe Liu Haiyan Zhou 20 27 0 12 Jul 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 34 45 0 13 Jun 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 117 394 0 03 Feb 2022
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 35 9 0 14 Oct 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation Xinyi Wu Zhenyao Wu Haojie Guo L. Ju Song Wang 101 143 0 22 Apr 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 299 1,084 0 17 Feb 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 54 69 0 16 Oct 2020