Lead-agnostic Self-supervised Learning for Local and Global
Representations of Electrocardiogram

v1v2 (latest)

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

14 March 2022

Jungwoo Oh

Hyunseung Chung

Joon-Myoung Kwon

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Papers citing "Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram"

9 / 9 papers shown

Title
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model Jiarui Jin Haoyu Wang Hongyan Li Jun Yu Li Jiahui Pan Shenda Hong 106 7 0 15 Feb 2025
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning Jialu Tang Tong Xia Yuan Lu Cecilia Mascolo Aaqib Saeed AI4MH 74 3 0 18 Oct 2024
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 282 5,801 0 20 Jun 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 371 6,806 0 13 Jun 2020
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients Dani Kiyasseh T. Zhu David Clifton 73 192 0 27 May 2020
fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli VLM FaML 109 3,151 0 01 Apr 2019
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 172 5,011 0 27 Jun 2016

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