A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems

13 February 2023

Papers citing "A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems"

8 / 8 papers shown

Title
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 150 281 0 20 Apr 2021
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction H. Zunair Aimon Rahman Nabeel Mohammed Joseph Paul Cohen 64 82 0 26 Jul 2020
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset Sergey P. Morozov Anna E. Andreychenko Nikolay A. Pavlov A. Vladzymyrskyy N. Ledikhova V. Gombolevskiy I. Blokhin P. Gelezhe A. Gonchar V. Chernina 29 247 0 13 May 2020
3D Deep Learning on Medical Images: A Review S. Singh Lipo Wang Sukrit Gupta Haveesh Goli P. Padmanabhan Balázs Gulyás MedIm 74 424 0 01 Apr 2020
Measuring the Effects of Data Parallelism on Neural Network Training Christopher J. Shallue Jaehoon Lee J. Antognini J. Mamou J. Ketterling Yao Wang 80 410 0 08 Nov 2018
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 426 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014