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Distributionally Robust Cross Subject EEG Decoding

Distributionally Robust Cross Subject EEG Decoding

19 August 2023
Tiehang Duan
Zhenyi Wang
Gianfranco Doretto
Fang Li
Cui Tao
Don Adjeroh
ArXiv (abs)PDFHTML

Papers citing "Distributionally Robust Cross Subject EEG Decoding"

13 / 13 papers shown
Title
Improving Task-free Continual Learning by Distributionally Robust Memory
  Evolution
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Tiehang Duan
Mingchen Gao
OOD
81
42
0
15 Jul 2022
Meta Learning on a Sequence of Imbalanced Domains with Difficulty
  Awareness
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang
Tiehang Duan
Le Fang
Qiuling Suo
Mingchen Gao
238
18
0
29 Sep 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG
  Signals
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Cédric Rommel
Thomas Moreau
Joseph Paillard
Alexandre Gramfort
73
37
0
25 Jun 2021
Learning from Heterogeneous EEG Signals with Differentiable Channel
  Reordering
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering
Aaqib Saeed
David Grangier
Olivier Pietquin
Neil Zeghidour
66
21
0
21 Oct 2020
Subject-Aware Contrastive Learning for Biosignals
Subject-Aware Contrastive Learning for Biosignals
Joseph Y. Cheng
Hanlin Goh
Kaan Dogrusoz
Oncel Tuzel
Erdrin Azemi
SSL
55
112
0
30 Jun 2020
Principled learning method for Wasserstein distributionally robust
  optimization with local perturbations
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Yongchan Kwon
Wonyoung Hedge Kim
Joong-Ho Won
M. Paik
91
12
0
05 Jun 2020
DADA: Differentiable Automatic Data Augmentation
DADA: Differentiable Automatic Data Augmentation
Yonggang Li
Guosheng Hu
Yongtao Wang
Timothy M. Hospedales
N. Robertson
Yongxin Yang
72
110
0
08 Mar 2020
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,249
0
20 Nov 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
113
964
0
16 Jan 2019
EEG-GAN: Generative adversarial networks for electroencephalograhic
  (EEG) brain signals
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
K. Hartmann
R. Schirrmeister
T. Ball
GANAI4TS
66
232
0
05 Jun 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
319
12,138
0
19 Jun 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
116
2,914
0
23 Nov 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,587
0
16 Aug 2016
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