MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural
Networks for Detecting Ventricular Arrhythmias based on ECGs

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MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs

25 February 2022

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Papers citing "MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs"

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Title
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems Zhenge Jia Zhepeng Wang Feng Hong Lichuan Ping Yiyu Shi Jiaxi Hu 51 17 0 18 Aug 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units linda Qiao Yanbo Xu Alind Khare Satria Priambada K. Maher Alaa Aljiffry Jimeng Sun Alexey Tumanov OOD 55 88 0 10 Aug 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 398 1,988 0 11 Apr 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 107 1,697 0 30 Mar 2020
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability Antoine Caubrière N. Tomashenko Antoine Laurent Emmanuel Morin Nathalie Camelin Yannick Esteve 50 54 0 18 Jun 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals linda Qiao Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun 71 67 0 27 May 2019
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 76 762 0 08 Oct 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 244 2,239 0 08 Mar 2018
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes Yang Zhang P. David Boqing Gong SSeg 108 322 0 29 Jul 2017
Curriculum Dropout Pietro Morerio Jacopo Cavazza Riccardo Volpi René Vidal Vittorio Murino ODL 130 104 0 18 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 524 10,351 0 16 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 351 4,636 0 10 Nov 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016