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Information-theoretic stochastic contrastive conditional GAN:
  InfoSCC-GAN

Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN

17 December 2021
Vitaliy Kinakh
M. Drozdova
Guillaume Quétant
T. Golling
Svyatoslav Voloshynovskiy
    GAN
ArXivPDFHTML

Papers citing "Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN"

4 / 4 papers shown
Title
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
272
2,338
0
04 Mar 2021
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
327
6,773
0
13 Jun 2020
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
305
4,569
0
13 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
454
9,027
0
10 Jun 2016
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