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Adversarial Autoencoders

Adversarial Autoencoders

18 November 2015
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
    GAN
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Papers citing "Adversarial Autoencoders"

50 / 353 papers shown
Title
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
12
1,327
0
16 Feb 2018
Improving Variational Encoder-Decoders in Dialogue Generation
Improving Variational Encoder-Decoders in Dialogue Generation
Xiaoyu Shen
Hui Su
Shuzi Niu
Vera Demberg
DRL
32
99
0
06 Feb 2018
Hierarchical Adversarially Learned Inference
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi
Sai Rajeswar
Olivier Mastropietro
Negar Rostamzadeh
Jovana Mitrović
Aaron Courville
GAN
BDL
40
29
0
04 Feb 2018
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced
  Understanding of Data
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data
B. Ayinde
J. Zurada
23
55
0
31 Jan 2018
Decoupled Learning for Conditional Adversarial Networks
Decoupled Learning for Conditional Adversarial Networks
Zhifei Zhang
Yang Song
Hairong Qi
38
22
0
21 Jan 2018
Enhanced Image Classification With Data Augmentation Using Position
  Coordinates
Enhanced Image Classification With Data Augmentation Using Position Coordinates
Avinash Kori
Ganapathy Krishnamurthi
Balaji Srinivasan
18
4
0
05 Jan 2018
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial
  Embedding Networks
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks
Long Chen
Hanwang Zhang
Jun Xiao
Wei Liu
Shih-Fu Chang
33
286
0
05 Dec 2017
Grounding Referring Expressions in Images by Variational Context
Grounding Referring Expressions in Images by Variational Context
Hanwang Zhang
Yulei Niu
Shih-Fu Chang
BDL
ObjD
21
219
0
05 Dec 2017
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNN
GAN
43
221
0
21 Nov 2017
Adversarial Information Factorization
Adversarial Information Factorization
Antonia Creswell
Yumnah Mohamied
B. Sengupta
Anil A Bharath
CVBM
GAN
29
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
DRL
GAN
42
78
0
14 Nov 2017
Fixing a Broken ELBO
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRL
BDL
39
80
0
01 Nov 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
57
2,975
0
19 Oct 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OOD
CML
27
93
0
13 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction
Reconstruction of Hidden Representation for Robust Feature Extraction
Zeng Yu
Tianrui Li
Ning Yu
Yi Pan
Hongmei Chen
Bing-Quan Liu
22
27
0
08 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational
  Inference
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei Huang
Ahmed Touati
Laurent Dinh
M. Drozdzal
Mohammad Havaei
Laurent Charlin
Aaron Courville
BDL
DRL
33
28
0
06 Oct 2017
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories
Yajing Chen
Shikui Tu
Yuqi Yi
Lei Xu
BDL
DRL
31
66
0
13 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRL
GAN
38
70
0
06 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution
  Matching
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li
Hao Liu
Changyou Chen
Yunchen Pu
Liqun Chen
Ricardo Henao
Lawrence Carin
GAN
FedML
40
220
0
05 Sep 2017
Photorealistic Facial Expression Synthesis by the Conditional Difference
  Adversarial Autoencoder
Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder
Yuqian Zhou
Bertram Emil Shi
CVBM
28
78
0
30 Aug 2017
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Mina Rezaei
Konstantin Harmuth
Willi Gierke
Thomas Kellermeier
Martin Fischer
Haojin Yang
Christoph Meinel
GAN
MedIm
27
120
0
17 Aug 2017
Semantic Image Synthesis via Adversarial Learning
Semantic Image Synthesis via Adversarial Learning
Hao Dong
Simiao Yu
Chao Wu
Yike Guo
GAN
20
265
0
21 Jul 2017
Guiding InfoGAN with Semi-Supervision
Guiding InfoGAN with Semi-Supervision
Adrian Spurr
Emre Aksan
Otmar Hilliges
GAN
34
46
0
14 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
Cross-language Learning with Adversarial Neural Networks: Application to
  Community Question Answering
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering
Chenyu You
Preslav Nakov
Lluís Màrquez i Villodre
Israa Jaradat
161
52
0
21 Jun 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca
Balaji Lakshminarayanan
David Warde-Farley
S. Mohamed
DRL
GAN
25
263
0
15 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRL
GAN
41
127
0
02 Jun 2017
PixelGAN Autoencoders
PixelGAN Autoencoders
Alireza Makhzani
Brendan J. Frey
GAN
32
100
0
02 Jun 2017
Representation Learning by Rotating Your Faces
Representation Learning by Rotating Your Faces
Luan Tran
Xi Yin
Xiaoming Liu
CVBM
GAN
23
140
0
31 May 2017
From optimal transport to generative modeling: the VEGAN cookbook
From optimal transport to generative modeling: the VEGAN cookbook
Olivier Bousquet
Sylvain Gelly
Ilya O. Tolstikhin
Carl-Johann Simon-Gabriel
B. Schoelkopf
OT
30
147
0
22 May 2017
Generative Modeling with Conditional Autoencoders: Building an
  Integrated Cell
Generative Modeling with Conditional Autoencoders: Building an Integrated Cell
Gregory R. Johnson
Rory M. Donovan-Maiye
M. Maleckar
MedIm
29
36
0
28 Apr 2017
Deep Cross-Modal Audio-Visual Generation
Deep Cross-Modal Audio-Visual Generation
Lele Chen
Sudhanshu Srivastava
Z. Duan
Chenliang Xu
33
221
0
26 Apr 2017
On the Effects of Batch and Weight Normalization in Generative
  Adversarial Networks
On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
Sitao Xiang
Hao Li
GAN
35
83
0
13 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
61
5,553
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
57
1,973
0
15 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
VLM
GAN
30
100
0
28 Feb 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
GAN
BDL
49
525
0
17 Jan 2017
Aspect-augmented Adversarial Networks for Domain Adaptation
Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
Regina Barzilay
Tommi Jaakkola
41
96
0
01 Jan 2017
Modeling documents with Generative Adversarial Networks
Modeling documents with Generative Adversarial Networks
John Glover
GAN
24
29
0
29 Dec 2016
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
27
29
0
15 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Message Passing Multi-Agent GANs
Message Passing Multi-Agent GANs
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
AI4CE
GAN
23
18
0
05 Dec 2016
Deep Image Category Discovery using a Transferred Similarity Function
Deep Image Category Discovery using a Transferred Similarity Function
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
29
15
0
05 Dec 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDL
DRL
24
723
0
16 Nov 2016
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jun Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
53
489
0
10 Nov 2016
Generative Adversarial Networks as Variational Training of Energy Based
  Models
Generative Adversarial Networks as Variational Training of Energy Based Models
Shuangfei Zhai
Yu Cheng
Rogerio Feris
Zhongfei Zhang
GAN
14
30
0
06 Nov 2016
Discrete Variational Autoencoders
Discrete Variational Autoencoders
J. Rolfe
BDL
DRL
35
254
0
07 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
16
120
0
09 Aug 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
28
226
0
03 Aug 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
106
4,212
0
12 Jun 2016
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