ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.00750
  4. Cited By
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

1 June 2021
S. Tonekaboni
Danny Eytan
Anna Goldenberg
    CML
    SSL
    AI4TS
ArXivPDFHTML

Papers citing "Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding"

44 / 44 papers shown
Title
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
46
0
0
24 Feb 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Kevin Garcia
Juan Manuel Perez
Yifeng Gao
AI4TS
52
0
0
14 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
Sander van Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
100
0
0
10 Feb 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
60
13
0
03 Jan 2025
PaPaGei: Open Foundation Models for Optical Physiological Signals
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai
Dimitris Spathis
F. Kawsar
Mohammad Malekzadeh
VLM
44
7
0
27 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
59
2
0
18 Oct 2024
EBES: Easy Benchmarking for Event Sequences
EBES: Easy Benchmarking for Event Sequences
Dmitry Osin
Igor Udovichenko
Viktor Moskvoretskii
Egor Shvetsov
Evgeny Burnaev
54
1
0
04 Oct 2024
Capturing Temporal Components for Time Series Classification
Capturing Temporal Components for Time Series Classification
Venkata Ragavendra Vavilthota
Ranjith Ramanathan
Sathyanarayanan N. Aakur
33
0
0
20 Jun 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Xiaojun Jia
Mahsa Salehi
65
0
0
17 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
51
19
0
30 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing
Yansen Wang
Guoxin Sui
Jing Hong
Jingrui He
Yuqing Yang
Dongsheng Li
Kan Ren
AI4TS
37
6
0
19 Mar 2024
Pretext Training Algorithms for Event Sequence Data
Pretext Training Algorithms for Event Sequence Data
Yimu Wang
He Zhao
Ruizhi Deng
Frederick Tung
Greg Mori
AI4TS
34
0
0
16 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
29
2
0
31 Jan 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
79
15
0
30 Jan 2024
MLEM: Generative and Contrastive Learning as Distinct Modalities for
  Event Sequences
MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
Viktor Moskvoretskii
Dmitry Osin
Egor Shvetsov
Igor Udovichenko
Maxim Zhelnin
Andrey Dukhovny
Anna Zhimerikina
Evgeny Burnaev
AI4TS
48
2
0
29 Jan 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical
  Learning
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
Zhishuai Li
Yunhao Nie
Ziyue Li
Lei Bai
Yisheng Lv
Rui Zhao
23
5
0
23 Jan 2024
Event-Based Contrastive Learning for Medical Time Series
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
34
4
0
16 Dec 2023
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
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
29
2
0
10 Dec 2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
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
250
1
0
09 Dec 2023
Series2Vec: Similarity-based Self-supervised Representation Learning for
  Time Series Classification
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
33
5
0
07 Dec 2023
Large Pre-trained time series models for cross-domain Time series
  analysis tasks
Large Pre-trained time series models for cross-domain Time series analysis tasks
Harshavardhan Kamarthi
B. A. Prakash
VLM
AI4TS
27
10
0
19 Nov 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised
  Learning
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng
Yihe Dong
Sercan O. Arik
Yan Liu
Tomas Pfister
CML
AI4TS
34
0
0
01 Nov 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
42
46
0
21 Oct 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series
  Forecasters
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Ching Chang
Wei-Yao Wang
Wenjie Peng
Tien-Fu Chen
AI4TS
43
46
0
16 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for
  Time Series
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun
Hongyan Li
Yaliang Li
linda Qiao
AI4TS
42
115
0
16 Aug 2023
Improving the Transferability of Time Series Forecasting with
  Decomposition Adaptation
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation
Yan-hong Gao
Yan Wang
Qiang Wang
AI4TS
31
0
0
30 Jun 2023
Pixel-wise Agricultural Image Time Series Classification: Comparisons
  and a Deformable Prototype-based Approach
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
Elliot Vincent
Jean Ponce
Mathieu Aubry
AI4TS
15
5
0
22 Mar 2023
TimeMAE: Self-Supervised Representations of Time Series with Decoupled
  Masked Autoencoders
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
Mingyue Cheng
Qi Liu
Zhiding Liu
Haotong Zhang
Rujiao Zhang
Enhong Chen
AI4TS
47
42
0
01 Mar 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
40
13
0
13 Feb 2023
Unsupervised Driving Event Discovery Based on Vehicle CAN-data
Unsupervised Driving Event Discovery Based on Vehicle CAN-data
Thomas Kreutz
O. Esbel
M. Mühlhäuser
Alejandro Sánchez Guinea
30
1
0
12 Jan 2023
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings
  with Multivariate Occupancy Time Series
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series
T. Kreutz
M. Mühlhäuser
Alejandro Sánchez Guinea
54
13
0
30 Dec 2022
Convolution-enhanced Evolving Attention Networks
Convolution-enhanced Evolving Attention Networks
Yujing Wang
Yaming Yang
Zhuowan Li
Jiangang Bai
Mingliang Zhang
Xiangtai Li
Jiahao Yu
Ce Zhang
Gao Huang
Yu Tong
ViT
32
6
0
16 Dec 2022
Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
27
29
0
03 Dec 2022
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for
  Multivariate Time Series
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Qianwen Meng
Hangwei Qian
Yong Liu
Li-zhen Cui
Yonghui Xu
Zhiqi Shen
AI4TS
36
33
0
02 Dec 2022
Contrastive Learning for Time Series on Dynamic Graphs
Contrastive Learning for Time Series on Dynamic Graphs
Yitian Zhang
Florence Regol
Antonios Valkanas
Mark Coates
AI4TS
24
0
0
21 Sep 2022
Utilizing Expert Features for Contrastive Learning of Time-Series
  Representations
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher
Lukas Oldenburg
Ingo Steinwart
David Reeb
AI4TS
45
21
0
23 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
47
272
0
17 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
41
45
0
13 Jun 2022
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance
  Evaluated on Non-stationary Seismic Signal Time Series
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series
Daesoo Lee
Erlend Aune
N. Langet
J. Eidsvik
20
0
0
06 Apr 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
47
86
0
22 Feb 2022
Time Series Anomaly Detection by Cumulative Radon Features
Time Series Anomaly Detection by Cumulative Radon Features
Yedid Hoshen
AI4TS
21
2
0
08 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
33
119
0
08 Feb 2022
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
49
9
0
05 Jun 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
322
31,297
0
16 Jan 2013
1