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Adversarially Learned Inference
v1v2v3 (latest)

Adversarially Learned Inference

2 June 2016
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
    GAN
ArXiv (abs)PDFHTML

Papers citing "Adversarially Learned Inference"

49 / 749 papers shown
Title
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
122
1,157
0
31 Mar 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
224
5,556
0
30 Mar 2017
Learning Inverse Mapping by Autoencoder based Generative Adversarial
  Nets
Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets
Junyu Luo
Yong Xu
Chenwei Tang
Jiancheng Lv
GAN
72
58
0
29 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
113
243
0
22 Mar 2017
Active Decision Boundary Annotation with Deep Generative Models
Active Decision Boundary Annotation with Deep Generative Models
Miriam W. Huijser
Jan van Gemert
61
46
0
20 Mar 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
225
501
0
11 Mar 2017
Compressed Sensing using Generative Models
Compressed Sensing using Generative Models
Ashish Bora
A. Jalal
Eric Price
A. Dimakis
206
813
0
09 Mar 2017
Robust Adversarial Reinforcement Learning
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
157
864
0
08 Mar 2017
Triple Generative Adversarial Nets
Triple Generative Adversarial Nets
Chongxuan Li
T. Xu
Jun Zhu
Bo Zhang
GAN
127
456
0
07 Mar 2017
Activation Maximization Generative Adversarial Nets
Activation Maximization Generative Adversarial Nets
Zhiming Zhou
Han Cai
Shunlin Rong
Yuxuan Song
Kan Ren
Weinan Zhang
Yong Yu
Jun Wang
GAN
87
0
0
06 Mar 2017
Generative Compression
Generative Compression
Shibani Santurkar
David Budden
Nir Shavit
VGenDiffMGAN
121
189
0
04 Mar 2017
Denoising Adversarial Autoencoders
Denoising Adversarial Autoencoders
Antonia Creswell
Anil Anthony Bharath
DiffM
97
131
0
03 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran
Rajesh Ranganath
David M. Blei
VLMGAN
124
99
0
28 Feb 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
112
170
0
27 Feb 2017
Learning Hierarchical Features from Generative Models
Learning Hierarchical Features from Generative Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
BDLGANOODDRL
89
74
0
27 Feb 2017
Variational Inference using Implicit Distributions
Variational Inference using Implicit Distributions
Ferenc Huszár
DRLGAN
182
135
0
27 Feb 2017
Precise Recovery of Latent Vectors from Generative Adversarial Networks
Precise Recovery of Latent Vectors from Generative Adversarial Networks
Zachary Chase Lipton
Subarna Tripathi
GAN
100
207
0
15 Feb 2017
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for
  Hand Pose Estimation
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation
Chengde Wan
Thomas Probst
Luc Van Gool
Angela Yao
GAN
66
150
0
11 Feb 2017
An Adversarial Regularisation for Semi-Supervised Training of Structured
  Output Neural Networks
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks
Mateusz Koziñski
Loïc Simon
F. Jurie
GAN
72
18
0
08 Feb 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
143
352
0
23 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GANBDL
188
530
0
17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
194
1,729
0
31 Dec 2016
Modeling documents with Generative Adversarial Networks
Modeling documents with Generative Adversarial Networks
John Glover
GAN
56
30
0
29 Dec 2016
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSLVOSOCL
110
526
0
19 Dec 2016
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
96
29
0
15 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
111
459
0
13 Dec 2016
Generative Adversarial Parallelization
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
89
38
0
13 Dec 2016
Generalizable Features From Unsupervised Learning
Generalizable Features From Unsupervised Learning
M. Berk Mirza
Aaron Courville
Yoshua Bengio
SSLOOD
65
17
0
12 Dec 2016
Improved generator objectives for GANs
Improved generator objectives for GANs
Ben Poole
Alexander A. Alemi
Jascha Narain Sohl-Dickstein
A. Angelova
78
69
0
08 Dec 2016
Mode Regularized Generative Adversarial Networks
Mode Regularized Generative Adversarial Networks
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
GAN
180
557
0
07 Dec 2016
Message Passing Multi-Agent GANs
Message Passing Multi-Agent GANs
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
AI4CEGAN
77
18
0
05 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSLDRL
103
670
0
29 Nov 2016
Invertible Conditional GANs for image editing
Invertible Conditional GANs for image editing
Guim Perarnau
Joost van de Weijer
Bogdan Raducanu
J. Álvarez
GAN
94
650
0
19 Nov 2016
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
226
340
0
17 Nov 2016
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
120
309
0
16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRLSSLBDL
95
340
0
15 Nov 2016
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
151
490
0
10 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
173
1,007
0
07 Nov 2016
Multi-view Generative Adversarial Networks
Multi-view Generative Adversarial Networks
Mickaël Chen
Ludovic Denoyer
GAN
68
30
0
07 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
108
345
0
05 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
508
3,227
0
30 Oct 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods
Connecting Generative Adversarial Networks and Actor-Critic Methods
David Pfau
Oriol Vinyals
OffRLAI4CE
124
186
0
06 Oct 2016
Supervision via Competition: Robot Adversaries for Learning Tasks
Supervision via Competition: Robot Adversaries for Learning Tasks
Lerrel Pinto
James Davidson
Abhinav Gupta
SSL
94
82
0
05 Oct 2016
Task Specific Adversarial Cost Function
Task Specific Adversarial Cost Function
Antonia Creswell
Anil A. Bharath
AAMLGAN
90
13
0
27 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
82
459
0
22 Sep 2016
Sampling Generative Networks
Sampling Generative Networks
Tom White
GAN
89
68
0
14 Sep 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
79
120
0
09 Aug 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
167
143
0
31 May 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLMSSL
111
1,015
0
22 Mar 2016
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