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Inferencing Based on Unsupervised Learning of Disentangled
  Representations

Inferencing Based on Unsupervised Learning of Disentangled Representations

7 March 2018
Tobias Hinz
S. Wermter
    GAN
ArXiv (abs)PDFHTML

Papers citing "Inferencing Based on Unsupervised Learning of Disentangled Representations"

8 / 8 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
301
30,152
0
01 Mar 2022
Structured Generative Adversarial Networks
Structured Generative Adversarial Networks
Zhijie Deng
Huatian Zhang
Xiaodan Liang
Luona Yang
Shizhen Xu
Jun Zhu
Eric Xing
GAN
65
53
0
02 Nov 2017
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
163
4,240
0
12 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
93
1,314
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
96
142
0
31 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
309
14,032
0
19 Nov 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
268
8,433
0
28 Nov 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
296
12,467
0
24 Jun 2012
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