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Double cycle-consistent generative adversarial network for unsupervised
  conditional generation
v1v2v3 (latest)

Double cycle-consistent generative adversarial network for unsupervised conditional generation

13 November 2019
Fei Ding
Feng Luo
Yin Yang
    SyDaAI4CE
ArXiv (abs)PDFHTML

Papers citing "Double cycle-consistent generative adversarial network for unsupervised conditional generation"

41 / 41 papers shown
Title
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
375
18,859
0
13 Feb 2020
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
123
777
0
13 Nov 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
48
54
0
26 Sep 2019
Y-Autoencoders: disentangling latent representations via
  sequential-encoding
Y-Autoencoders: disentangling latent representations via sequential-encoding
Massimiliano Patacchiola
P. Fox-Roberts
E. Rosten
OODDRL
28
15
0
25 Jul 2019
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Chu Wang
Marcello Pelillo
Kaleem Siddiqi
3DV3DPC
63
183
0
04 Jun 2019
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wen Liu
73
251
0
30 Apr 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
81
272
0
29 Mar 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
Ming-Hsuan Yang
GAN
81
406
0
13 Mar 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
GANOOD
89
158
0
06 Mar 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant
  Dimensions
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions
Zhilin Zheng
Li Sun
CMLCoGeDRL
39
48
0
22 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OODSSLDRL
72
446
0
12 Dec 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
46
337
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
SSLVLM
87
852
0
17 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,900
0
15 Jul 2018
On gradient regularizers for MMD GANs
On gradient regularizers for MMD GANs
Michael Arbel
Danica J. Sutherland
Mikolaj Binkowski
Arthur Gretton
64
95
0
29 May 2018
Image-to-image translation for cross-domain disentanglement
Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia
Joost van de Weijer
Yoshua Bengio
DRL
67
242
0
24 May 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OODCMLBDLDRL
82
169
0
06 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
85
242
0
31 Mar 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
62
1,356
0
16 Feb 2018
SpectralNet: Spectral Clustering using Deep Neural Networks
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham
Kelly P. Stanton
Henry Li
B. Nadler
Ronen Basri
Y. Kluger
GNN
62
286
0
04 Jan 2018
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
122
1,057
0
05 Nov 2017
A Two-Step Disentanglement Method
A Two-Step Disentanglement Method
Naama Hadad
Lior Wolf
Shimon Shahar
59
81
0
01 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and
  Relative Entropy Minimization
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
Kamran Ghasedi Dizaji
Amirhossein Herandi
Cheng Deng
Weidong (Tom) Cai
Heng-Chiao Huang
49
524
0
20 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,558
0
31 Mar 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
83
452
0
28 Feb 2017
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRLCML
100
490
0
10 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
74
658
0
08 Nov 2016
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
78
876
0
15 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
159
4,237
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
81
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
92
142
0
31 May 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
57
818
0
13 Apr 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
175
2,072
0
31 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
GANOOD
266
14,018
0
19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
92
2,879
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
99
2,228
0
18 Nov 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OODGAN
110
847
0
10 Feb 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
Wayne Zhang
Xiaogang Wang
Deli Zhao
Xiaoou Tang
69
171
0
25 Aug 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,456
0
24 Jun 2012
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