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Empirical Analysis of Overfitting and Mode Drop in GAN Training

Empirical Analysis of Overfitting and Mode Drop in GAN Training

25 June 2020
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
V. Chandrasekhar
ArXivPDFHTML

Papers citing "Empirical Analysis of Overfitting and Mode Drop in GAN Training"

5 / 5 papers shown
Title
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Laurence Perreault Levasseur
Y. Hezaveh
Laurence Perreault-Levasseur
Yashar Hezaveh
19
3
0
06 Feb 2024
Mitigating Health Data Poverty: Generative Approaches versus Resampling
  for Time-series Clinical Data
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Raffaele Marchesi
Nicolo Micheletti
Giuseppe Jurman
V. Osmani
AI4TS
23
5
0
25 Oct 2022
When do GANs replicate? On the choice of dataset size
When do GANs replicate? On the choice of dataset size
Qianli Feng
Chen Guo
Fabian Benitez-Quiroz
Aleix M. Martinez
136
54
0
23 Feb 2022
Generalization Error of GAN from the Discriminator's Perspective
Generalization Error of GAN from the Discriminator's Perspective
Hongkang Yang
Weinan E
GAN
38
13
0
08 Jul 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
264
10,344
0
12 Dec 2018
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