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Self-labeled Conditional GANs

Self-labeled Conditional GANs

3 December 2020
M. Noroozi
    SSL
ArXivPDFHTML

Papers citing "Self-labeled Conditional GANs"

28 / 28 papers shown
Title
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
60
806
0
03 Oct 2023
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
64
30,021
0
01 Mar 2022
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
44
107
0
18 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
114
18,523
0
13 Feb 2020
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
78
542
0
04 Jul 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
49
157
0
06 Mar 2019
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
38
302
0
27 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
187
5,363
0
28 Sep 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee
Himanshu Asnani
Eugene Lin
Sreeram Kannan
GAN
27
335
0
10 Sep 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
44
844
0
17 Jul 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
133
3,272
0
21 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
115
4,421
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
36
768
0
15 Feb 2018
Modulating early visual processing by language
Modulating early visual processing by language
H. D. Vries
Florian Strub
Jérémie Mary
Hugo Larochelle
Olivier Pietquin
Aaron Courville
87
484
0
02 Jul 2017
Geometric GAN
Geometric GAN
Jae Hyun Lim
J. C. Ye
GAN
35
516
0
08 May 2017
Learning Discrete Representations via Information Maximizing
  Self-Augmented Training
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
54
446
0
28 Feb 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
57
2,102
0
17 Jan 2017
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
266
1,160
0
24 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
123
4,224
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
275
8,999
0
10 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
41
1,312
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
64
1,827
0
31 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
786
192,638
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
205
13,968
0
19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
34
2,844
0
19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
33
2,320
0
10 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
229
149,474
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
178
10,365
0
06 Nov 2014
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