CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals

25 June 2021

Papers citing "CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals"

31 / 31 papers shown

Title
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging Ziyu Jia Youfang Lin Jing Wang Xuehui Wang Peiyi Xie Yingbin Zhang 28 91 0 24 May 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation Elizabeth Fons Paula Dawson Xiao-Jun Zeng J. Keane Alexandros Iosifidis AI4TS 33 23 0 16 Feb 2021
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering Aaqib Saeed David Grangier Olivier Pietquin Neil Zeghidour 41 21 0 21 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian Chen Lin Ming Sun Luping Zhou Junjie Yan Wanli Ouyang 33 48 0 30 Sep 2020
Subject-Aware Contrastive Learning for Biosignals Joseph Y. Cheng Hanlin Goh Kaan Dogrusoz Oncel Tuzel Erdrin Azemi SSL 35 110 0 30 Jun 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 49 109 0 08 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 186 18,523 0 13 Feb 2020
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 35 155 0 11 Feb 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 55 197 0 24 Dec 2019
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 47 204 0 16 Nov 2019
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Mathias Perslev M. Jensen S. Darkner P. Jennum Christian Igel AI4TS 76 247 0 24 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 183 3,458 0 30 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 300 5,664 0 25 Jul 2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy Chen Lin Minghao Guo Chuming Li Yuan Xin Wei Wu Dahua Lin Wanli Ouyang Junjie Yan ODL 35 84 0 17 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 48 402 0 14 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 62 593 0 01 May 2019
Deep learning-based electroencephalography analysis: a systematic review Yannick Roy Hubert J. Banville Isabela Albuquerque Alexandre Gramfort T. Falk J. Faubert 86 944 0 16 Jan 2019
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 159 4,326 0 24 Jun 2018
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates J. Schwabedal John C. Snyder Ayse S. Cakmak S. Nemati Gari D. Clifford 23 27 0 20 Jun 2018
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals K. Hartmann R. Schirrmeister T. Ball GAN AI4TS 41 231 0 05 Jun 2018
HAMLET: Interpretable Human And Machine co-LEarning Technique Olivier Deiss Siddharth Biswal Jing Jin Haoqi Sun M. P. M. Brandon Westover Jimeng Sun 34 11 0 26 Mar 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 84 300 0 31 Oct 2017
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 45 488 0 05 Jul 2017
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 48 1,924 0 15 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 212 5,323 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 104 2,518 0 02 Nov 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation Søren Hauberg Oren Freifeld Anders Boesen Lindbo Larsen John W. Fisher III Lars Kai Hansen 31 154 0 09 Oct 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 117 391 0 17 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 736 149,474 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 208 10,365 0 06 Nov 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 296 3,099 0 15 Aug 2013