LEAVES: Learning Views for Time-Series Data in Contrastive Learning

LEAVES: Learning Views for Time-Series Data in Contrastive Learning

13 October 2022

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Papers citing "LEAVES: Learning Views for Time-Series Data in Contrastive Learning"

16 / 16 papers shown

Title
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification Huy P Phan Kaare B. Mikkelsen Oliver Y. Chén P. Koch Alfred Mertins M. D. Vos 75 188 0 23 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 347 2,362 0 04 Mar 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,072 0 20 Nov 2020
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG Jing Zhang Deng Liang Aiping Liu Min Gao Xiang Chen Xu Zhang Xun Chen 30 56 0 17 Aug 2020
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 398 6,837 0 13 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 114 1,335 0 20 May 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 69 110 0 08 Mar 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 60 64 0 16 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 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 134 251 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 258 3,502 0 30 Sep 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 73 404 0 14 May 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks T. T. Um Franz MJ Pfister Daniel C. Pichler Satoshi Endo Muriel Lang Sandra Hirche U. Fietzek Dana Kulić 90 681 0 02 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 359 5,379 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 198 2,537 0 02 Nov 2016

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