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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 / 590 papers shown
Title
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
24
26
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
44
1,586
0
15 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering
Dissimilarity Mixture Autoencoder for Deep Clustering
Juan S. Lara
Fabio A. González
22
5
0
15 Jun 2020
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and
  Fusion
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
Yang Wang
33
195
0
15 Jun 2020
Unbiased Auxiliary Classifier GANs with MINE
Unbiased Auxiliary Classifier GANs with MINE
Ligong Han
Anastasis Stathopoulos
Tao Xue
Dimitris N. Metaxas
4
13
0
13 Jun 2020
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of
  Regulated GAN with Data Augmentation
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation
Saeedreza Shehnepoor
R. Togneri
Wei Liu
Bennamoun
22
4
0
11 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
CML
MedIm
33
229
0
11 Jun 2020
On the Maximum Mutual Information Capacity of Neural Architectures
On the Maximum Mutual Information Capacity of Neural Architectures
Brandon Foggo
Nan Yu
TPM
21
3
0
10 Jun 2020
Deep generative models for musical audio synthesis
Deep generative models for musical audio synthesis
M. Huzaifah
L. Wyse
19
20
0
10 Jun 2020
Probabilistic Autoencoder
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
16
32
0
09 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-man Cheung
MedIm
18
35
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
Nested Scale Editing for Conditional Image Synthesis
Nested Scale Editing for Conditional Image Synthesis
Lingzhi Zhang
Jiancong Wang
Yinshuang Xu
Jie Min
Tarmily Wen
J. Gee
Jianbo Shi
DiffM
24
3
0
03 Jun 2020
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
19
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
11
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
30
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
28
349
0
15 May 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
19
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
23
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
18
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
233
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
11
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
12
188
0
11 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
16
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
53
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
9
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
313
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
9
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
27
126
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
19
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
26
817
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
23
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
29
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
32
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
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