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Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
28 January 2022
Naoki Sato
Hideaki Iiduka
EGVM
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Papers citing
"Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule"
7 / 7 papers shown
Title
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
66
234
0
01 Nov 2021
Low-Rank Subspaces in GANs
Jiapeng Zhu
Ruili Feng
Yujun Shen
Deli Zhao
Zhengjun Zha
Jingren Zhou
Qifeng Chen
GAN
34
71
0
08 Jun 2021
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang
Tommy M. Tang
Yifan Ding
S. Tatikonda
Nicha Dvornek
X. Papademetris
James S. Duncan
ODL
73
505
0
15 Oct 2020
Convergence rates for the stochastic gradient descent method for non-convex objective functions
Benjamin J. Fehrman
Benjamin Gess
Arnulf Jentzen
49
101
0
02 Apr 2019
Progressive Augmentation of GANs
Dan Zhang
Anna Khoreva
38
27
0
29 Jan 2019
Measuring the Effects of Data Parallelism on Neural Network Training
Christopher J. Shallue
Jaehoon Lee
J. Antognini
J. Mamou
J. Ketterling
Yao Wang
68
408
0
08 Nov 2018
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
122
9,509
0
31 Mar 2017
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