Time-Series Representation Learning via Temporal and Contextual Contrasting

26 June 2021

Papers citing "Time-Series Representation Learning via Temporal and Contextual Contrasting"

50 / 207 papers shown

Title
Time-Series Contrastive Learning against False Negatives and Class Imbalance Xi Jin Jing Wang Lei Liu Youfang Lin 26 1 0 19 Dec 2023
Event-Based Contrastive Learning for Medical Time Series Hyewon Jeong Nassim Oufattole Matthew B. A. McDermott Aparna Balagopalan P. Chandak Marzyeh Ghassemi Collin M. Stultz 21 4 0 16 Dec 2023
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation Hyun Ryu Sunjae Yoon Hee Suk Yoon Eunseop Yoon Changdong Yoo AI4TS 22 2 0 10 Dec 2023
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting Jiaxin Gao Yuxiao Hu Qinglong Cao Siqi Dai Yuntian Chen AI4TS 16 0 0 10 Dec 2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 152 1 0 09 Dec 2023
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series Ching Chang Chiao-Tung Chan Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 23 2 0 07 Dec 2023
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification Navid Mohammadi Foumani Chang Wei Tan Geoffrey I. Webb Hamid Rezatofighi Mahsa Salehi SSL AI4TS 31 5 0 07 Dec 2023
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series Hongbo Guo Xinzi Xu Hao Wu Guoxing Wang AI4TS 21 1 0 06 Dec 2023
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling Daesoo Lee Sara Malacarne Erlend Aune AI4TS 34 9 0 21 Nov 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series Trang H. Tran Lam M. Nguyen Kyongmin Yeo Nam H. Nguyen Roman Vaculin AI4TS 24 0 0 21 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 15 10 0 19 Nov 2023
Self-Distilled Representation Learning for Time Series Felix Pieper Konstantin Ditschuneit Martin Genzel Alexandra Lindt Johannes Otterbach AI4TS 21 1 0 19 Nov 2023
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution Yuting Sun Guansong Pang Guanhua Ye Tong Chen Xia Hu Hongzhi Yin 27 8 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 26 2 0 14 Nov 2023
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network Haili Sun Yan-Ming Huang Lansheng Han Cai Fu Hongle Liu Xiang Long 29 9 0 04 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 26 30 0 31 Oct 2023
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 46 24 0 30 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Yihe Wang Yu Han Haishuai Wang Xiang Zhang AI4TS 22 46 0 21 Oct 2023
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features Huayu Li Ana S. Carreon-Rascon Xiwen Chen Geng Yuan Ao Li AI4TS 11 5 0 19 Oct 2023
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport Songpengcheng Xia Lei Chu Ling Pei Jiarui Yang Wenxian Yu Robert C. Qiu AI4TS 23 8 0 13 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
Self-supervised Representation Learning From Random Data Projectors Yi Sui Tongzi Wu Jesse C. Cresswell Ga Wu George Stein Xiao Shi Huang Xiaochen Zhang M. Volkovs 26 10 0 11 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 36 4 0 11 Oct 2023
T-Rep: Representation Learning for Time Series using Time-Embeddings Archibald Fraikin Adrien Bennetot S. Allassonnière AI4TS 15 10 0 06 Oct 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
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing Sewoong Lee JinKyou Choi Min Su Kim AI4TS 14 0 0 20 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 31 12 0 12 Sep 2023
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data Yucheng Wang Yuecong Xu Jianfei Yang Min-man Wu Xiaoli Li Lihua Xie Zhenghua Chen AI4TS 36 37 0 11 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 31 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 16 15 0 11 Sep 2023
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training Che Liu Zhongwei Wan Sibo Cheng Mi Zhang Rossella Arcucci 27 36 0 06 Sep 2023
Mobile Foundation Model as Firmware Jinliang Yuan Chenchen Yang Dongqi Cai Shihe Wang Xin Yuan ... Di Zhang Hanzi Mei Xianqing Jia Shangguang Wang Mengwei Xu 40 19 0 28 Aug 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 Weiqi Zhang Jianfeng Zhang Jia Li Fugee Tsung AI4TS 33 12 0 24 Aug 2023
A Survey on Self-Supervised Representation Learning Tobias Uelwer Jan Robine Stefan Sylvius Wagner Marc Höftmann Eric Upschulte S. Konietzny Maike Behrendt Stefan Harmeling SSL AI4TS OOD 19 12 0 22 Aug 2023
Large Transformers are Better EEG Learners Bingxin Wang Xiao-Ying Fu Yuan Lan Luchan Zhang Wei Zheng Yang Xiang 22 4 0 20 Aug 2023
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection Zahra Zamanzadeh Darban Geoffrey I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 32 18 0 18 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 45 0 16 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 37 112 0 16 Aug 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 30 17 0 03 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 28 3 0 02 Aug 2023
Shuffled Differentially Private Federated Learning for Time Series Data Analytics Chenxi Huang Chaoyang Jiang Zhenghua Chen FedML AI4TS 13 0 0 30 Jul 2023
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data Mohamed Ragab Emadeldeen Eldele Min-man Wu Chuan-Sheng Foo Xiaoli Li Zhenghua Chen TTA AI4TS 19 18 0 14 Jul 2023
Multi-view self-supervised learning for multivariate variable-channel time series Thea Brusch Mikkel N. Schmidt T. S. Alstrøm BDL SSL AI4TS 20 7 0 13 Jul 2023
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting Lincan Li Kaixiang Yang Feng Luo Jichao Bi AI4TS 19 2 0 05 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 20 0 0 30 Jun 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 114 102 0 16 Jun 2023
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals Donghong Cai Junru Chen Yang Yang Te-Chun Liu Yafeng Li 16 20 0 15 Jun 2023
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning Junru Chen Yang Yang Tao Yu Yingying Fan Xiaolong Mo Carl Yang DiffM MedIm 8 27 0 15 Jun 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Vijayabharathi Ekambaram Arindam Jati Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AI4TS 40 134 0 14 Jun 2023