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Uncovering the structure of clinical EEG signals with self-supervised
  learning

Uncovering the structure of clinical EEG signals with self-supervised learning

31 July 2020
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
Denis A. Engemann
Alexandre Gramfort
ArXivPDFHTML

Papers citing "Uncovering the structure of clinical EEG signals with self-supervised learning"

34 / 34 papers shown
Title
EEG-Language Modeling for Pathology Detection
EEG-Language Modeling for Pathology Detection
Sam Gijsen
Kerstin Ritter
93
2
0
02 Sep 2024
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Hui Cai
Xiang Zhang
Xiaofeng Liu
AI4TS
55
0
0
13 Oct 2023
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
123
14,883
0
18 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
84
1,323
0
20 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
446
3,422
0
09 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
317
18,686
0
13 Feb 2020
Machine-Learning-Based Diagnostics of EEG Pathology
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas A. W. Gemein
R. Schirrmeister
P. Chrabaszcz
Daniel Wilson
Joschka Boedecker
A. Schulze-Bonhage
Frank Hutter
T. Ball
43
159
0
11 Feb 2020
Self-supervised ECG Representation Learning for Emotion Recognition
Self-supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar
Ali Etemad
SSL
48
268
0
04 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
347
42,299
0
03 Dec 2019
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
155
12,050
0
13 Nov 2019
Self-supervised representation learning from electroencephalography
  signals
Self-supervised representation learning from electroencephalography signals
Hubert J. Banville
Isabela Albuquerque
Aapo Hyvarinen
G. Moffat
Denis A. Engemann
Alexandre Gramfort
AI4TS
SSL
38
58
0
13 Nov 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
106
1,427
0
22 May 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
108
1,697
0
16 Feb 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
49
450
0
30 Jan 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
129
716
0
25 Jan 2019
Deep learning-based electroencephalography analysis: a systematic review
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
91
949
0
16 Jan 2019
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLM
SSeg
123
1,083
0
21 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.3K
94,511
0
11 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
278
10,253
0
10 Jul 2018
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive
  Learning
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen
Hiroaki Sasaki
Richard Turner
OOD
CML
90
327
0
22 May 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
152
9,390
0
09 Feb 2018
Hierarchical internal representation of spectral features in deep
  convolutional networks trained for EEG decoding
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding
K. Hartmann
R. Schirrmeister
T. Ball
54
27
0
21 Nov 2017
Deep learning with convolutional neural networks for decoding and
  visualization of EEG pathology
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
R. Schirrmeister
Lukas A. W. Gemein
Katharina Eggensperger
Frank Hutter
T. Ball
MedIm
63
149
0
26 Aug 2017
A deep learning architecture for temporal sleep stage classification
  using multivariate and multimodal time series
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAU
AI4TS
58
489
0
05 Jul 2017
Faster independent component analysis by preconditioning with Hessian
  approximations
Faster independent component analysis by preconditioning with Hessian approximations
Pierre Ablin
J. Cardoso
Alexandre Gramfort
CML
55
125
0
25 Jun 2017
Deep learning with convolutional neural networks for EEG decoding and
  visualization
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister
Jost Tobias Springenberg
Lukas Dominique Josef Fiederer
Martin Glasstetter
Katharina Eggensperger
Michael Tangermann
Frank Hutter
Wolfram Burgard
Tonio Ball
68
1,924
0
15 Mar 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
79
957
0
12 Mar 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
330
10,467
0
21 Jul 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
CML
OOD
AI4TS
58
409
0
20 May 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
154
2,978
0
30 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
272
18,587
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
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
619
31,469
0
16 Jan 2013
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