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Large Scale Time-Series Representation Learning via Simultaneous Low and
  High Frequency Feature Bootstrapping

Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping

24 April 2022
Vandan Gorade
Azad Singh
Deepak Mishra
    SSL
    AI4TS
ArXivPDFHTML

Papers citing "Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping"

29 / 29 papers shown
Title
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang
Nils Strodthoff
52
5
0
10 Oct 2023
Improving the Efficiency of Transformers for Resource-Constrained
  Devices
Improving the Efficiency of Transformers for Resource-Constrained Devices
Hamid Tabani
Ajay Balasubramaniam
Shabbir Marzban
Elahe Arani
Bahram Zonooz
49
21
0
30 Jun 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
62
494
0
26 Jun 2021
A Comprehensive Survey of Scene Graphs: Generation and Application
A Comprehensive Survey of Scene Graphs: Generation and Application
Xiaojun Chang
Pengzhen Ren
Pengfei Xu
Zhihui Li
Xiaojiang Chen
Alexander G. Hauptmann
3DV
79
229
0
17 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
191
2,321
0
04 Mar 2021
SelfHAR: Improving Human Activity Recognition through Self-training with
  Unlabeled Data
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang
I. Perez-Pozuelo
Dimitris Spathis
S. Brage
N. Wareham
Cecilia Mascolo
SSL
HAI
VLM
32
91
0
11 Feb 2021
Sequence-to-Sequence Contrastive Learning for Text Recognition
Sequence-to-Sequence Contrastive Learning for Text Recognition
Aviad Aberdam
Ron Litman
Shahar Tsiper
Oron Anschel
Ron Slossberg
Shai Mazor
R. Manmatha
Pietro Perona
52
104
0
20 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
154
3,992
0
20 Nov 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
40
499
0
31 Jul 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
86
1,604
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
247
6,718
0
13 Jun 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
158
18,523
0
13 Feb 2020
Self-supervised ECG Representation Learning for Emotion Recognition
Self-supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar
Ali Etemad
SSL
32
265
0
04 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
83
11,959
0
13 Nov 2019
DEVDAN: Deep Evolving Denoising Autoencoder
DEVDAN: Deep Evolving Denoising Autoencoder
Andri Ashfahani
Mahardhika Pratama
E. Lughofer
Yew-Soon Ong
49
98
0
08 Oct 2019
Surface Type Classification for Autonomous Robot Indoor Navigation
Surface Type Classification for Autonomous Robot Indoor Navigation
Francesco Lomio
Erjon Skenderi
Damoon Mohamadi
J. Collin
R. Ghabcheloo
H. Huttunen
32
13
0
01 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
SSL
AI4TS
39
449
0
30 Jan 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
204
10,152
0
10 Jul 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
178
3,272
0
21 Mar 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
67
4,759
0
04 Mar 2018
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
44
667
0
29 Nov 2016
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
73
1,478
0
16 Nov 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
29
5,277
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
119
2,965
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
99
3,524
0
28 Mar 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
SSL
AI4TS
31
505
0
17 Feb 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
332
16,972
0
20 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
260
33,445
0
16 Oct 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
142
12,384
0
24 Jun 2012
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