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InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
    GAN
ArXivPDFHTML

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

50 / 662 papers shown
Title
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
26
12
0
01 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement
  and Data Generation
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Yizhe Zhu
Martin Renqiang Min
Asim Kadav
H. Graf
CoGe
DRL
27
95
0
23 May 2020
An analysis on the use of autoencoders for representation learning:
  fundamentals, learning task case studies, explainability and challenges
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges
D. Charte
F. Charte
M. J. D. Jesus
Francisco Herrera
SSL
OOD
27
51
0
21 May 2020
CIAGAN: Conditional Identity Anonymization Generative Adversarial
  Networks
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
Maxim Maximov
Ismail Elezi
Laura Leal-Taixé
PICV
GAN
37
166
0
19 May 2020
Face Identity Disentanglement via Latent Space Mapping
Face Identity Disentanglement via Latent Space Mapping
Yotam Nitzan
Amit H. Bermano
Yangyan Li
Daniel Cohen-Or
CVBM
CoGe
DRL
30
16
0
15 May 2020
Semantic Photo Manipulation with a Generative Image Prior
Semantic Photo Manipulation with a Generative Image Prior
David Bau
Hendrik Strobelt
William S. Peebles
Jonas Wulff
Bolei Zhou
Jun-Yan Zhu
Antonio Torralba
GAN
33
349
0
15 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena
Jiannong Cao
AAML
AI4CE
26
286
0
30 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
16
35
0
17 Apr 2020
Cross-domain Face Presentation Attack Detection via Multi-domain
  Disentangled Representation Learning
Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning
Guoqing Wang
Hu Han
Shiguang Shan
Xilin Chen
CVBM
OOD
24
168
0
04 Apr 2020
Self-Supervised Viewpoint Learning From Image Collections
Self-Supervised Viewpoint Learning From Image Collections
Siva Karthik Mustikovela
Varun Jampani
Shalini De Mello
Sifei Liu
Umar Iqbal
Carsten Rother
Jan Kautz
SSL
31
39
0
03 Apr 2020
Disassembling Object Representations without Labels
Disassembling Object Representations without Labels
Zunlei Feng
Xinchao Wang
Yongming He
Yike Yuan
Xin Gao
Xiuming Zhang
OCL
23
0
0
03 Apr 2020
Controllable Person Image Synthesis with Attribute-Decomposed GAN
Controllable Person Image Synthesis with Attribute-Decomposed GAN
Yifang Men
Yiming Mao
Yuning Jiang
Wei-Ying Ma
Zheng Lian
43
234
0
27 Mar 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
Kui Jia
CML
OOD
19
269
0
19 Mar 2020
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image
  Translation via Attribute Gaussian Mixture Modeling
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Yahui Liu
Marco De Nadai
Jian Yao
N. Sebe
Bruno Lepri
Xavier Alameda-Pineda
19
25
0
15 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs
Inducing Optimal Attribute Representations for Conditional GANs
Binod Bhattarai
Tae-Kyun Kim
GAN
37
19
0
13 Mar 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
37
188
0
11 Mar 2020
Unsupervised Style and Content Separation by Minimizing Mutual
  Information for Speech Synthesis
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis
Ting-Yao Hu
A. Shrivastava
Oncel Tuzel
C. Dhir
11
30
0
09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CML
ELM
XAI
27
213
0
09 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie
Tero Karras
Animesh Garg
Shoubhik Debhath
Anjul Patney
Ankit B. Patel
Anima Anandkumar
DRL
89
72
0
06 Mar 2020
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CE
VLM
83
215
0
02 Mar 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic
  Attributes with Applications to Anomaly Detection
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection
William Paul
I-J. Wang
F. Alajaji
Philippe Burlina
DiffM
DRL
21
6
0
25 Feb 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI
  Systems
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
Vineel Nagisetty
Laura Graves
Joseph Scott
Vijay Ganesh
GAN
DRL
24
27
0
24 Feb 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision
Disentangled Speech Embeddings using Cross-modal Self-supervision
Arsha Nagrani
Joon Son Chung
Samuel Albanie
Andrew Zisserman
SSL
21
88
0
20 Feb 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent
  Space
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
A. Voynov
Artem Babenko
55
417
0
10 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable
  speech synthesis
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
Guangzhi Sun
Yu Zhang
Ron J. Weiss
Yuanbin Cao
Heiga Zen
Yonghui Wu
11
130
0
06 Feb 2020
Concept Whitening for Interpretable Image Recognition
Concept Whitening for Interpretable Image Recognition
Zhi Chen
Yijie Bei
Cynthia Rudin
FAtt
31
314
0
05 Feb 2020
Interpretability of Blackbox Machine Learning Models through Dataview
  Extraction and Shadow Model creation
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation
Rupam Patir
Shubham Singhal
C. Anantaram
Vikram Goyal
13
0
0
02 Feb 2020
Controlling generative models with continuous factors of variations
Controlling generative models with continuous factors of variations
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
DRL
30
127
0
28 Jan 2020
An Explicit Local and Global Representation Disentanglement Framework
  with Applications in Deep Clustering and Unsupervised Object Detection
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
Rujikorn Charakorn
Y. Thawornwattana
Sirawaj Itthipuripat
Nick Pawlowski
P. Manoonpong
Nat Dilokthanakul
DRL
OCL
24
13
0
24 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
38
300
0
08 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation
Generating Semantic Adversarial Examples via Feature Manipulation
Shuo Wang
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
Tianle Chen
AAML
28
12
0
06 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
32
81
0
02 Jan 2020
OneGAN: Simultaneous Unsupervised Learning of Conditional Image
  Generation, Foreground Segmentation, and Fine-Grained Clustering
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering
Yaniv Benny
Lior Wolf
VLM
GAN
21
48
0
31 Dec 2019
Deep Automodulators
Deep Automodulators
Ari Heljakka
Wenshuai Zhao
Arno Solin
Arno Solin
31
5
0
21 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
31
41
0
20 Dec 2019
SynSin: End-to-end View Synthesis from a Single Image
SynSin: End-to-end View Synthesis from a Single Image
Olivia Wiles
Georgia Gkioxari
Richard Szeliski
Justin Johnson
3DV
41
467
0
18 Dec 2019
Disentanglement based Active Learning
Disentanglement based Active Learning
S. SilpaV
K. Adarsh
S. Sumitra
DRL
21
0
0
15 Dec 2019
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with
  Adaptive Solvers
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
T. Nguyen
Animesh Garg
Richard G. Baraniuk
Anima Anandkumar
TPM
28
9
0
09 Dec 2019
Semantic Bottleneck Scene Generation
Semantic Bottleneck Scene Generation
S. Azadi
Michael Tschannen
Eric Tzeng
Sylvain Gelly
Trevor Darrell
Mario Lucic
21
29
0
26 Nov 2019
Live Face De-Identification in Video
Live Face De-Identification in Video
Oran Gafni
Lior Wolf
Yaniv Taigman
CVBM
PICV
29
134
0
19 Nov 2019
Estimation of Orientation and Camera Parameters from Cryo-Electron
  Microscopy Images with Variational Autoencoders and Generative Adversarial
  Networks
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
Nina Miolane
Frédéric Poitevin
Yee-Ting Li
S. Holmes
3DV
16
23
0
19 Nov 2019
Towards Visually Explaining Variational Autoencoders
Towards Visually Explaining Variational Autoencoders
Wenqian Liu
Runze Li
Meng Zheng
Srikrishna Karanam
Ziyan Wu
B. Bhanu
Richard J. Radke
Mario Sznaier
30
214
0
18 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax
  Game
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Linxiao Yang
Ngai-man Cheung
SSL
GAN
23
60
0
16 Nov 2019
Molecular Generative Model Based On Adversarially Regularized
  Autoencoder
Molecular Generative Model Based On Adversarially Regularized Autoencoder
S. Hong
Jaechang Lim
Seongok Ryu
W. Kim
GAN
DRL
GNN
34
64
0
13 Nov 2019
Generative adversarial networks (GAN) based efficient sampling of
  chemical space for inverse design of inorganic materials
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
Yabo Dan
Yong Zhao
Xiang Li
Shaobo Li
Ming Hu
Jianjun Hu
AI4CE
GAN
27
192
0
12 Nov 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with
  Variational Auto-Encoders
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Yu Duan
Canwen Xu
Jiaxin Pei
Jialong Han
Chenliang Li
24
42
0
10 Nov 2019
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