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Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
v1v2v3 (latest)

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion

8 February 2022
Ling Yang
linda Qiao
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion"

36 / 36 papers shown
Title
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maxmilian Forstenhäusler
Daniel Külzer
Christos Anagnostopoulos
Shameem Puthiya Parambath
Natascha Weber
AI4TSMedIm
166
0
0
14 Apr 2025
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin
Haoyu Wang
Hongyan Li
Jun Yu Li
Jiahui Pan
Shenda Hong
106
7
0
15 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
123
12
0
03 Jan 2025
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
58
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
426
2
0
09 Dec 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
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
119
24
0
04 Feb 2023
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph
  Representation Learning
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang
linda Qiao
105
12
0
31 May 2022
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac
  Signals
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Xiang Lan
Dianwen Ng
linda Qiao
Mengling Feng
OOD
96
52
0
18 Sep 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
85
503
0
26 Jun 2021
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
76
570
0
19 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
S. Tonekaboni
Danny Eytan
Anna Goldenberg
CMLSSLAI4TS
150
291
0
01 Jun 2021
Mind the Gap when Conditioning Amortised Inference in Sequential
  Latent-Variable Models
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer
Maximilian Soelch
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
88
15
0
18 Jan 2021
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
85
922
0
06 Oct 2020
An Empirical Survey of Data Augmentation for Time Series Classification
  with Neural Networks
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana
S. Uchida
AI4TS
57
503
0
31 Jul 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
160
1,840
0
20 May 2020
Time Series Data Augmentation for Neural Networks by Time Warping with a
  Discriminative Teacher
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Brian Kenji Iwana
S. Uchida
AI4TS
62
89
0
19 Apr 2020
Anomaly Detection in Univariate Time-series: A Survey on the
  State-of-the-Art
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
Mohammad Braei
Sebastian Wagner
AI4TS
33
194
0
01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
70
208
0
31 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
ROCKET: Exceptionally fast and accurate time series classification using
  random convolutional kernels
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster
Franccois Petitjean
Geoffrey I. Webb
AI4TS
78
778
0
29 Oct 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
115
1,054
0
24 May 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSLAI4TS
49
451
0
30 Jan 2019
Improving Clinical Predictions through Unsupervised Time Series
  Representation Learning
Improving Clinical Predictions through Unsupervised Time Series Representation Learning
Xinrui Lyu
Matthias Huser
Stephanie L. Hyland
George Zerveas
Gunnar Rätsch
SSLOODAI4TS
62
43
0
02 Dec 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
320
10,302
0
10 Jul 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
95
4,815
0
04 Mar 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
AI4TS
117
1,248
0
13 Feb 2018
TimeNet: Pre-trained deep recurrent neural network for time series
  classification
TimeNet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra
T. Vishnu
Lovekesh Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
44
174
0
23 Jun 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRLCoGeOOD
76
552
0
31 May 2017
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram
  Features
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features
Matteo Pagliardini
Prakhar Gupta
Martin Jaggi
SSL
164
694
0
07 Mar 2017
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
90
457
0
30 Sep 2016
Sequential Neural Models with Stochastic Layers
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
117
398
0
24 May 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and
  Nonlinear ICA
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen
H. Morioka
CMLOODAI4TS
67
409
0
20 May 2016
Multi-layer Representation Learning for Medical Concepts
Multi-layer Representation Learning for Medical Concepts
Edward Choi
M. T. Bahadori
Elizabeth Searles
Catherine Coffey
Jimeng Sun
SSLAI4TS
51
506
0
17 Feb 2016
A Recurrent Latent Variable Model for Sequential Data
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung
Kyle Kastner
Laurent Dinh
Kratarth Goel
Aaron Courville
Yoshua Bengio
DRLBDL
87
1,259
0
07 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
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
677
31,512
0
16 Jan 2013
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