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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 / 580 papers shown
Title
StyleFusion: A Generative Model for Disentangling Spatial Segments
StyleFusion: A Generative Model for Disentangling Spatial Segments
Omer Kafri
Or Patashnik
Yuval Alaluf
Daniel Cohen-Or
26
37
0
15 Jul 2021
Semantic and Geometric Unfolding of StyleGAN Latent Space
Semantic and Geometric Unfolding of StyleGAN Latent Space
Mustafa Shukor
Xu Yao
B. Damodaran
Pierre Hellier
GAN
30
4
0
09 Jul 2021
Active Learning in Robotics: A Review of Control Principles
Active Learning in Robotics: A Review of Control Principles
Annalisa T. Taylor
Thomas A. Berrueta
Todd D. Murphey
27
70
0
25 Jun 2021
3D human tongue reconstruction from single "in-the-wild" images
3D human tongue reconstruction from single "in-the-wild" images
Stylianos Ploumpis
Stylianos Moschoglou
Vasileios Triantafyllou
S. Zafeiriou
3DH
19
6
0
23 Jun 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Jie Xu
Yazhou Ren
Huayi Tang
X. Pu
Xiaofeng Zhu
Ming Zeng
Lifang He
DRL
15
106
0
21 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership
  Verification and Applicability Authorization
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang
Shichao Xu
Ruiqi Xu
Tianlin Li
Qi Zhu
AAML
11
45
0
13 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
DRL
32
22
0
07 Jun 2021
Diffusion-Based Representation Learning
Diffusion-Based Representation Learning
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
28
56
0
29 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
61
96
0
17 May 2021
Towards Synthetic Multivariate Time Series Generation for Flare
  Forecasting
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
Yang Chen
Dustin J. Kempton
Azim Ahmadzadeh
R. Angryk
AI4TS
12
12
0
16 May 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive
  Survey & Evaluation
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan
P. Moshiri
M. Nabati
Reza Shahbazian
S. Ghorashi
V. Shah-Mansouri
David Windridge
13
83
0
10 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain
Bartosz Krawczyk
Nitesh V. Chawla
27
258
0
05 May 2021
DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing
Canqun Xiang
Zhennan Wang
Wenbin Zou
Chen Xu
OCL
19
1
0
30 Apr 2021
MarioNette: Self-Supervised Sprite Learning
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov
Michael Gharbi
Matthew Fisher
Vitor Campagnolo Guizilini
Alexei A. Efros
Justin Solomon
SSL
OCL
74
37
0
29 Apr 2021
Semantic similarity metrics for learned image registration
Semantic similarity metrics for learned image registration
Steffen Czolbe
Oswin Krause
Aasa Feragen
23
14
0
20 Apr 2021
Pseudo-supervised Deep Subspace Clustering
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv
Zhao Kang
Xiao Lu
Zenglin Xu
27
111
0
08 Apr 2021
Where and What? Examining Interpretable Disentangled Representations
Where and What? Examining Interpretable Disentangled Representations
Xinqi Zhu
Chang Xu
Dacheng Tao
FAtt
DRL
48
38
0
07 Apr 2021
Generating Furry Cars: Disentangling Object Shape & Appearance across
  Multiple Domains
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains
Utkarsh Ojha
Krishna Kumar Singh
Yong Jae Lee
OOD
19
6
0
05 Apr 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
39
29
0
22 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaML
AI4CE
LRM
59
653
0
20 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain
  Randomization
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OOD
SSL
25
3
0
20 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
24
315
0
15 Mar 2021
Density-aware Haze Image Synthesis by Self-Supervised Content-Style
  Disentanglement
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
Chi Zhang
Zihang Lin
Liheng Xu
Zongliang Li
Wei Tang
Yuehu Liu
Gaofeng Meng
Le Wang
Li Li
11
19
0
11 Mar 2021
Multimodal Representation Learning via Maximization of Local Mutual
  Information
Multimodal Representation Learning via Maximization of Local Mutual Information
Ruizhi Liao
Daniel Moyer
Miriam Cha
Keegan Quigley
Seth Berkowitz
Steven Horng
Polina Golland
W. Wells
SSL
13
41
0
08 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
38
108
0
07 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GAN
DRL
16
6
0
05 Mar 2021
IH-GAN: A Conditional Generative Model for Implicit Surface-Based
  Inverse Design of Cellular Structures
IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
Jun Wang
Wei Chen
Daicong Da
M. Fuge
R. Rai
25
55
0
03 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
Strategic Classification Made Practical
Strategic Classification Made Practical
Sagi Levanon
Nir Rosenfeld
40
55
0
02 Mar 2021
Diverse Critical Interaction Generation for Planning and Planner
  Evaluation
Diverse Critical Interaction Generation for Planning and Planner Evaluation
Zhao-Heng Yin
Lingfeng Sun
Liting Sun
M. Tomizuka
Wei Zhan
14
21
0
01 Mar 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
21
0
24 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative
  Models: A Contrastive Learning View
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
CoGe
OCL
DRL
36
36
0
21 Feb 2021
Towards Building A Group-based Unsupervised Representation
  Disentanglement Framework
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang
Xuanchi Ren
Yuwang Wang
W. Zeng
Nanning Zheng
CoGe
DRL
19
27
0
20 Feb 2021
Wasserstein Proximal of GANs
Wasserstein Proximal of GANs
A. Lin
Wuchen Li
Stanley Osher
Guido Montúfar
GAN
19
46
0
13 Feb 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep
  VAE with Residual Attention
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention
Peng Liu
Yuewen Cao
Songxiang Liu
Na Hu
Guangzhi Li
Chao Weng
Dan Su
34
22
0
12 Feb 2021
Counterfactual Generative Networks
Counterfactual Generative Networks
Axel Sauer
Andreas Geiger
OOD
BDL
CML
41
123
0
15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape
  Optimization
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization
Yuyang Wang
K. Shimada
A. Farimani
21
29
0
12 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by
  Quantifying Previously Used and Unused Information
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
Zhengqi He
Taro Toyoizumi
17
1
0
08 Jan 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
Neural Joint Entropy Estimation
Neural Joint Entropy Estimation
Yuval Shalev
Amichai Painsky
I. Ben-Gal
14
8
0
21 Dec 2020
Measuring Disentanglement: A Review of Metrics
Measuring Disentanglement: A Review of Metrics
M. Carbonneau
Julian Zaïdi
Jonathan Boilard
G. Gagnon
CoGe
DRL
20
80
0
16 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
26
29
0
14 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial
  Inference
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei
Ximeng Mao
Yiping Wang
Qicheng Lao
GAN
MedIm
26
20
0
08 Dec 2020
Inductive Bias and Language Expressivity in Emergent Communication
Inductive Bias and Language Expressivity in Emergent Communication
Shangmin Guo
Yi Ren
A. Slowik
K. Mathewson
25
8
0
04 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
25
119
0
03 Dec 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
60
955
0
24 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
A. Glushkovsky
DRL
19
6
0
24 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of
  Video Representation
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
Aditya Sreekar
Ujjwal Tiwari
A. Namboodiri
DRL
26
4
0
17 Nov 2020
Continuous Conditional Generative Adversarial Networks: Novel Empirical
  Losses and Label Input Mechanisms
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
Xin Ding
Student Member Ieee Yongwei Wang
Zuheng Xu
William J. Welch
F. I. Z. Jane Wang
GAN
VLM
32
27
0
15 Nov 2020
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