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AlignFlow: Cycle Consistent Learning from Multiple Domains via
  Normalizing Flows

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

30 May 2019
Aditya Grover
Christopher Chute
Rui Shu
Zhangjie Cao
Stefano Ermon
    OOD
    DRL
ArXivPDFHTML

Papers citing "AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows"

50 / 50 papers shown
Title
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu
Ezra Winston
Divyansh Kaushik
Zachary Chase Lipton
58
127
0
05 Mar 2019
Flow++: Improving Flow-Based Generative Models with Variational
  Dequantization and Architecture Design
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho
Xi Chen
A. Srinivas
Yan Duan
Pieter Abbeel
DRL
58
449
0
01 Feb 2019
Co-regularized Alignment for Unsupervised Domain Adaptation
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar
P. Sattigeri
Kahini Wadhawan
Leonid Karlinsky
Rogerio Feris
William T. Freeman
G. Wornell
OOD
51
158
0
13 Nov 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative
  Models
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
105
870
0
02 Oct 2018
A Unified Feature Disentangler for Multi-Domain Image Translation and
  Manipulation
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu
Yen-Cheng Liu
Yu-Ying Yeh
Y. Wang
64
217
0
05 Sep 2018
Video-to-Video Synthesis
Video-to-Video Synthesis
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Guilin Liu
Andrew Tao
Jan Kautz
Bryan Catanzaro
GAN
VGen
91
988
0
20 Aug 2018
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
Tomer Galanti
Sagie Benaim
Lior Wolf
49
7
0
23 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
263
3,124
0
09 Jul 2018
Towards Optimal Transport with Global Invariances
Towards Optimal Transport with Global Invariances
David Alvarez-Melis
Stefanie Jegelka
Tommi Jaakkola
OT
52
71
0
25 Jun 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
329
5,081
0
19 Jun 2018
NAM: Non-Adversarial Unsupervised Domain Mapping
NAM: Non-Adversarial Unsupervised Domain Mapping
Yedid Hoshen
Lior Wolf
GAN
35
24
0
03 Jun 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
122
2,481
0
12 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
114
440
0
03 Apr 2018
Sylvester Normalizing Flows for Variational Inference
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg
Leonard Hasenclever
Jakub M. Tomczak
Max Welling
BDL
DRL
58
252
0
15 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
72
621
0
23 Feb 2018
Universal Neural Machine Translation for Extremely Low Resource
  Languages
Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu
Hany Hassan
Jacob Devlin
Victor O.K. Li
74
276
0
15 Feb 2018
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
118
1,351
0
30 Nov 2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
115
3,549
0
24 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
134
3,000
0
08 Nov 2017
Unsupervised Machine Translation Using Monolingual Corpora Only
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample
Alexis Conneau
Ludovic Denoyer
MarcÁurelio Ranzato
SSL
102
1,094
0
31 Oct 2017
The Role of Minimal Complexity Functions in Unsupervised Learning of
  Semantic Mappings
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
Tomer Galanti
Lior Wolf
Sagie Benaim
40
25
0
31 Aug 2017
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OT
OOD
80
563
0
24 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li
Wei-Cheng Chang
Yu Cheng
Yiming Yang
Barnabás Póczós
GAN
66
721
0
24 May 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
168
1,349
0
19 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
50
53
0
15 May 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi
Hao Zhang
P. Tan
Minglun Gong
GAN
VLM
121
1,940
0
08 Apr 2017
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GAN
OOD
103
651
0
06 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
111
5,554
0
30 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
89
1,979
0
15 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
147
2,732
0
02 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
257
4,653
0
17 Feb 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
163
4,825
0
26 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
133
1,722
0
31 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
146
1,535
0
16 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
308
19,612
0
21 Nov 2016
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GAN
OOD
87
999
0
07 Nov 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
156
416
0
11 Oct 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OOD
GAN
84
1,625
0
24 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
105
1,816
0
15 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
119
1,654
0
02 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
231
3,689
0
26 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
887
11,587
0
06 Apr 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
165
1,940
0
25 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
431
2,566
0
25 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
284
4,167
0
21 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
234
10,394
0
06 Nov 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
118
2,256
0
30 Oct 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
231
6,012
0
26 Sep 2014
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