Empirical Analysis of Overfitting and Mode Drop in GAN Training

25 June 2020

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

7 / 7 papers shown

Title
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 29 3 0 06 Feb 2024
Data-Copying in Generative Models: A Formal Framework Robi Bhattacharjee S. Dasgupta Kamalika Chaudhuri TDI 14 6 0 25 Feb 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 29 7 0 22 Dec 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data Raffaele Marchesi Nicolo Micheletti Giuseppe Jurman V. Osmani AI4TS 37 5 0 25 Oct 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 142 54 0 23 Feb 2022
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 43 13 0 08 Jul 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 285 10,354 0 12 Dec 2018