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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"

50 / 749 papers shown
Title
Recursive Chaining of Reversible Image-to-image Translators For Face
  Aging
Recursive Chaining of Reversible Image-to-image Translators For Face Aging
Ari Heljakka
Arno Solin
Arno Solin
CVBM
53
5
0
14 Feb 2018
Flipped-Adversarial AutoEncoders
Flipped-Adversarial AutoEncoders
Jiyi Zhang
Hung Dang
H. Lee
E. Chang
GAN
73
4
0
13 Feb 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
116
321
0
12 Feb 2018
Coulomb Autoencoders
Coulomb Autoencoders
E. Sansone
Hafiz Tiomoko Ali
Jiacheng Sun
DRL
45
1
0
10 Feb 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELMEGVM
96
883
0
09 Feb 2018
Transductive Adversarial Networks (TAN)
Transductive Adversarial Networks (TAN)
S. Rowan
GANOOD
28
0
0
08 Feb 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient
  Methods: A Lagrangian Perspective on GAN
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
Xu Chen
Jiang Wang
Hao Ge
GAN
85
14
0
06 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks
Task-Aware Compressed Sensing with Generative Adversarial Networks
Maya Kabkab
Pouya Samangouei
Rama Chellappa
GAN
88
79
0
05 Feb 2018
Hierarchical Adversarially Learned Inference
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi
Sai Rajeswar
Olivier Mastropietro
Negar Rostamzadeh
Jovana Mitrović
Aaron Courville
GANBDL
83
29
0
04 Feb 2018
Improved Training of Generative Adversarial Networks Using
  Representative Features
Improved Training of Generative Adversarial Networks Using Representative Features
Duhyeon Bang
Hyunjung Shim
GAN
92
33
0
28 Jan 2018
Classification of sparsely labeled spatio-temporal data through
  semi-supervised adversarial learning
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
Atanas Mirchev
Seyed-Ahmad Ahmadi
GAN
48
3
0
26 Jan 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
270
1,287
0
12 Jan 2018
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
Peilun Li
Xiaodan Liang
Daoyuan Jia
Eric Xing
100
94
0
05 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative
  Models
The Robust Manifold Defense: Adversarial Training using Generative Models
A. Jalal
Andrew Ilyas
C. Daskalakis
A. Dimakis
AAML
122
174
0
26 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks
On the Effectiveness of Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
69
160
0
18 Dec 2017
Logo Synthesis and Manipulation with Clustered Generative Adversarial
  Networks
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
Alexander Sage
E. Agustsson
Radu Timofte
Luc Van Gool
GAN
74
62
0
12 Dec 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
Alex Lamb
R. Devon Hjelm
Yaroslav Ganin
Joseph Paul Cohen
Aaron Courville
Yoshua Bengio
GAN
72
13
0
12 Dec 2017
PacGAN: The power of two samples in generative adversarial networks
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin
A. Khetan
Giulia Fanti
Sewoong Oh
GAN
132
335
0
12 Dec 2017
Semi-Supervised Learning with IPM-based GANs: an Empirical Study
Semi-Supervised Learning with IPM-based GANs: an Empirical Study
Tom Sercu
Youssef Mroueh
GAN
72
1
0
07 Dec 2017
Learning to Write Stylized Chinese Characters by Reading a Handful of
  Examples
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
D. Sun
Zhaolin Ren
Chongxun Li
Hang Su
Jun Zhu
99
92
0
06 Dec 2017
Towards Recovery of Conditional Vectors from Conditional Generative
  Adversarial Networks
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks
Sihao Ding
Andreas Wallin
GAN
30
3
0
06 Dec 2017
Wasserstein Divergence for GANs
Wasserstein Divergence for GANs
Jiqing Wu
Zhiwu Huang
Janine Thoma
Dinesh Acharya
Luc Van Gool
85
139
0
04 Dec 2017
Generative Adversarial Networks for Electronic Health Records: A
  Framework for Exploring and Evaluating Methods for Predicting Drug-Induced
  Laboratory Test Trajectories
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories
A. Yahi
Rami Vanguri
Noémie Elhadad
Nicholas P. Tatonetti
GAN
67
40
0
01 Dec 2017
Label Efficient Learning of Transferable Representations across Domains
  and Tasks
Label Efficient Learning of Transferable Representations across Domains and Tasks
Zelun Luo
Yuliang Zou
Judy Hoffman
Li Fei-Fei
80
277
0
30 Nov 2017
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
232
1,359
0
30 Nov 2017
Wasserstein Introspective Neural Networks
Wasserstein Introspective Neural Networks
Kwonjoon Lee
Weijian Xu
Fan Fan
Zhuowen Tu
99
57
0
24 Nov 2017
IVE-GAN: Invariant Encoding Generative Adversarial Networks
IVE-GAN: Invariant Encoding Generative Adversarial Networks
R. Winter
Djork-Arné Clevert
GAN
36
0
0
23 Nov 2017
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
Riccardo Volpi
Pietro Morerio
Silvio Savarese
Vittorio Murino
GANOOD
118
234
0
23 Nov 2017
Safer Classification by Synthesis
Safer Classification by Synthesis
William Wang
Angelina Wang
Aviv Tamar
Xi Chen
Pieter Abbeel
74
41
0
22 Nov 2017
Weakly Supervised Object Discovery by Generative Adversarial & Ranking
  Networks
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks
Ali Diba
Vivek Sharma
Rainer Stiefelhagen
Luc Van Gool
GAN
76
6
0
22 Nov 2017
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNNGAN
89
223
0
21 Nov 2017
Asymmetric Variational Autoencoders
Asymmetric Variational Autoencoders
Guoqing Zheng
Yiming Yang
J. Carbonell
BDL
31
2
0
20 Nov 2017
Bidirectional Conditional Generative Adversarial Networks
Bidirectional Conditional Generative Adversarial Networks
Ayush Jaiswal
Wael AbdAlmageed
Yue Wu
Premkumar Natarajan
GAN
75
36
0
20 Nov 2017
Learning Compositional Visual Concepts with Mutual Consistency
Learning Compositional Visual Concepts with Mutual Consistency
Yunye Gong
Srikrishna Karanam
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
P. Doerschuk
CoGeGAN
78
10
0
16 Nov 2017
Global versus Localized Generative Adversarial Nets
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi
Liheng Zhang
Hao Hu
Marzieh Edraki
Jingdong Wang
Xian-Sheng Hua
GAN
92
82
0
16 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
131
159
0
16 Nov 2017
Latent Constraints: Learning to Generate Conditionally from
  Unconditional Generative Models
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel
Matthew Hoffman
Adam Roberts
DRL
97
140
0
15 Nov 2017
Adversarial Information Factorization
Adversarial Information Factorization
Antonia Creswell
Yumnah Mohamied
B. Sengupta
Anil A Bharath
CVBMGAN
75
23
0
14 Nov 2017
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRLGAN
104
78
0
14 Nov 2017
Sobolev GAN
Sobolev GAN
Youssef Mroueh
Chun-Liang Li
Tom Sercu
Anant Raj
Yu Cheng
67
117
0
14 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
184
3,015
0
08 Nov 2017
Theoretical limitations of Encoder-Decoder GAN architectures
Theoretical limitations of Encoder-Decoder GAN architectures
Sanjeev Arora
Andrej Risteski
Yi Zhang
GANAI4CE
59
15
0
07 Nov 2017
Adversarial Dropout Regularization
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
94
286
0
05 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
179
1,058
0
05 Nov 2017
A Classification-Based Study of Covariate Shift in GAN Distributions
A Classification-Based Study of Covariate Shift in GAN Distributions
Shibani Santurkar
Ludwig Schmidt
Aleksander Madry
GAN
83
16
0
02 Nov 2017
Structured Generative Adversarial Networks
Structured Generative Adversarial Networks
Zhijie Deng
Huatian Zhang
Xiaodan Liang
Luona Yang
Shizhen Xu
Jun Zhu
Eric Xing
GAN
70
53
0
02 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled
  Observations
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDLDRL
120
523
0
02 Nov 2017
Data Augmentation in Emotion Classification Using Generative Adversarial
  Networks
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
Xinyue Zhu
Yifan Liu
Zengchang Qin
Jiahong Li
GAN
115
119
0
02 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
98
242
0
01 Nov 2017
Flexible Prior Distributions for Deep Generative Models
Flexible Prior Distributions for Deep Generative Models
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
AI4CE
21
1
0
31 Oct 2017
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