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On the Limitations of First-Order Approximation in GAN Dynamics

On the Limitations of First-Order Approximation in GAN Dynamics

29 June 2017
Jerry Li
A. Madry
John Peebles
Ludwig Schmidt
ArXivPDFHTML

Papers citing "On the Limitations of First-Order Approximation in GAN Dynamics"

7 / 7 papers shown
Title
Data Interpolants -- That's What Discriminators in Higher-order
  Gradient-regularized GANs Are
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are
Siddarth Asokan
C. Seelamantula
24
4
0
01 Jun 2023
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
26
0
0
24 Jun 2021
GANs with Variational Entropy Regularizers: Applications in Mitigating
  the Mode-Collapse Issue
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
Pirazh Khorramshahi
Hossein Souri
Ramalingam Chellappa
S. Feizi
GAN
DRL
28
4
0
24 Sep 2020
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
22
72
0
29 Oct 2019
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLM
CLL
9
102
0
06 Dec 2018
Towards Distributed Coevolutionary GANs
Towards Distributed Coevolutionary GANs
Abdullah Al-Dujaili
Tom Schmiedlechner
Erik Hemberg
Una-May O’Reilly
GAN
28
41
0
21 Jul 2018
Fictitious GAN: Training GANs with Historical Models
Fictitious GAN: Training GANs with Historical Models
Hao Ge
Yin Xia
Xu Chen
R. Berry
Ying Nian Wu
AI4CE
GAN
19
29
0
23 Mar 2018
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