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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
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
164
255
0
19 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder
Disentangled Inference for GANs with Latently Invertible Autoencoder
Jiapeng Zhu
Deli Zhao
Bo Zhang
Bolei Zhou
GANDRL
109
35
0
19 Jun 2019
Learning Generalized Transformation Equivariant Representations via
  Autoencoding Transformations
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations
Guo-Jun Qi
Liheng Zhang
Tianlin Li
OOD
79
39
0
19 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GANDRL
110
57
0
11 Jun 2019
Online Object Representations with Contrastive Learning
Online Object Representations with Contrastive Learning
Soren Pirk
Mohi Khansari
Yunfei Bai
Corey Lynch
P. Sermanet
SSL
72
35
0
10 Jun 2019
Learning Clustered Representation for Complex Free Energy Landscapes
Learning Clustered Representation for Complex Free Energy Landscapes
Jun Zhang
Yao-Kun Lei
X. Che
Zhen Zhang
Yue Yang
Y. Gao
FedML
21
0
0
07 Jun 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
235
2,385
0
06 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGeDRL
73
4
0
03 Jun 2019
Coupled VAE: Improved Accuracy and Robustness of a Variational
  Autoencoder
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
Shichen Cao
Jingjing Li
Kenric P. Nelson
Mark A. Kon
BDLDRL
59
16
0
03 Jun 2019
On the Fairness of Disentangled Representations
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaMLDRL
81
227
0
31 May 2019
Batch weight for domain adaptation with mass shift
Batch weight for domain adaptation with mass shift
Mikolaj Binkowski
R. Devon Hjelm
Aaron Courville
GANOOD
54
11
0
29 May 2019
Semi-Implicit Generative Model
Semi-Implicit Generative Model
Mingzhang Yin
Mingyuan Zhou
VLMGAN
61
3
0
29 May 2019
Image-to-Image Translation with Multi-Path Consistency Regularization
Image-to-Image Translation with Multi-Path Consistency Regularization
Jianxin Lin
Yingce Xia
Yijun Wang
Tao Qin
Zhibo Chen
86
18
0
29 May 2019
JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels
JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels
Minje Park
VLMGAN
40
3
0
28 May 2019
A Plug-in Method for Representation Factorization in Connectionist
  Models
A Plug-in Method for Representation Factorization in Connectionist Models
Jee Seok Yoon
Wonjun Ko
Heung-Il Suk
50
1
0
27 May 2019
Unsupervised Learning of Anomaly Detection from Contaminated Image Data
  using Simultaneous Encoder Training
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training
Amanda Berg
Jörgen Ahlberg
Michael Felsberg
54
28
0
27 May 2019
Adversarial Learned Molecular Graph Inference and Generation
Adversarial Learned Molecular Graph Inference and Generation
Sebastian Polsterl
Christian Wachinger
GAN
122
7
0
24 May 2019
Generative Imputation and Stochastic Prediction
Generative Imputation and Stochastic Prediction
Mohammad Kachuee
Kimmo Karkkainen
Orpaz Goldstein
Sajad Darabi
Majid Sarrafzadeh
82
24
0
22 May 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image
  Translation
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
71
54
0
21 May 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Hao Zhang
Bo Chen
Long Tian
Zhengjue Wang
Mingyuan Zhou
DRL
67
7
0
18 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
48
0
0
16 May 2019
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
A. Raghunathan
A. Cherian
Devesh K. Jha
58
21
0
15 May 2019
An Improved Self-supervised GAN via Adversarial Training
An Improved Self-supervised GAN via Adversarial Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Ngai-Man Cheung
SSLGAN
61
14
0
14 May 2019
Multi-class Novelty Detection Using Mix-up Technique
Multi-class Novelty Detection Using Mix-up Technique
Supritam Bhattacharjee
Devraj Mandal
Soma Biswas
115
14
0
11 May 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
93
146
0
30 Apr 2019
Capturing human categorization of natural images at scale by combining
  deep networks and cognitive models
Capturing human categorization of natural images at scale by combining deep networks and cognitive models
Ruairidh M. Battleday
Joshua C. Peterson
Thomas Griffiths
46
13
0
26 Apr 2019
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative
  Adversarial Networks
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks
Md. Akmal Haidar
Mehdi Rezagholizadeh
92
52
0
23 Apr 2019
Analyzing the benefits of communication channels between deep learning
  models
Analyzing the benefits of communication channels between deep learning models
Philippe Lacaille
34
0
0
19 Apr 2019
Latent Code and Text-based Generative Adversarial Networks for Soft-text
  Generation
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
Md. Akmal Haidar
Mehdi Rezagholizadeh
Alan Do-Omri
Ahmad Rashid
GAN
63
15
0
15 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of
  Generative Autoencoders
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka
Arno Solin
Arno Solin
DRLCVBM
81
15
0
12 Apr 2019
An Introduction to Person Re-identification with Generative Adversarial
  Networks
An Introduction to Person Re-identification with Generative Adversarial Networks
Hamed Alqahtani
Manolya Kavakli-Thorne
Charles Z. Liu
GAN
33
4
0
12 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
104
581
0
06 Apr 2019
COCO-GAN: Generation by Parts via Conditional Coordinating
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin
Chia-Che Chang
Yu-Sheng Chen
Da-Cheng Juan
Wei Wei
Hwann-Tzong Chen
99
136
0
30 Mar 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSLDRL
146
119
0
28 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
61
246
0
27 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
67
42
0
23 Mar 2019
Generative Adversarial Networks: recent developments
Generative Adversarial Networks: recent developments
M. Zamorski
Adrian Zdobylak
Maciej Ziȩba
J. Swiatek
GAN
40
15
0
16 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
102
408
0
13 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
146
779
0
09 Mar 2019
Statistically-informed deep learning for gravitational wave parameter
  estimation
Statistically-informed deep learning for gravitational wave parameter estimation
Hongyu Shen
Eliu A. Huerta
É. O’Shea
Prayush Kumar
Zhizhen Zhao
85
34
0
05 Mar 2019
O-GAN: Extremely Concise Approach for Auto-Encoding Generative
  Adversarial Networks
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
Jianlin Su
GAN
52
19
0
05 Mar 2019
Robot Learning via Human Adversarial Games
Robot Learning via Human Adversarial Games
Jiali Duan
Qian Wang
Lerrel Pinto
C.-C. Jay Kuo
Stefanos Nikolaidis
AAMLSSL
40
7
0
02 Mar 2019
Deep Generative Design: Integration of Topology Optimization and
  Generative Models
Deep Generative Design: Integration of Topology Optimization and Generative Models
Sangeun Oh
Yongsu Jung
Seongsin Kim
Ikjin Lee
Namwoo Kang
AI4CE
28
0
0
01 Mar 2019
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
Matthew Amodio
Smita Krishnaswamy
GAN
124
108
0
25 Feb 2019
Learning about an exponential amount of conditional distributions
Learning about an exponential amount of conditional distributions
Mohamed Ishmael Belghazi
Maxime Oquab
Yann LeCun
David Lopez-Paz
BDLSSL
66
28
0
22 Feb 2019
Label-Removed Generative Adversarial Networks Incorporating with K-Means
Label-Removed Generative Adversarial Networks Incorporating with K-Means
Ce Wang
Zhangling Chen
Kun Shang
GAN
33
25
0
19 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and
  Manipulation
Adversarially Approximated Autoencoder for Image Generation and Manipulation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
96
72
0
14 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Peilin Zhong
Yuchen Mo
Chang Xiao
Pengyu Chen
Changxi Zheng
53
5
0
13 Feb 2019
Exploring Explicit Domain Supervision for Latent Space Disentanglement
  in Unpaired Image-to-Image Translation
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
Jianxin Lin
Zhibo Chen
Yingce Xia
Sen Liu
Tao Qin
Jiebo Luo
GAN
89
50
0
11 Feb 2019
Mode Collapse and Regularity of Optimal Transportation Maps
Mode Collapse and Regularity of Optimal Transportation Maps
Na Lei
Yang Guo
Dongsheng An
Xin Qi
Zhongxuan Luo
S. Yau
X. Gu
OT
59
28
0
08 Feb 2019
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