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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 / 576 papers shown
Title
Interpretable Neuron Structuring with Graph Spectral Regularization
Interpretable Neuron Structuring with Graph Spectral Regularization
Alexander Tong
David van Dijk
Jay S. Stanley
Matthew Amodio
Kristina M. Yim
R. Muhle
J. Noonan
Guy Wolf
Smita Krishnaswamy
19
6
0
30 Sep 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented
  Demonstrations using Directed Information
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Arjun Sharma
Mohit Sharma
Nicholas Rhinehart
Kris M. Kitani
19
68
0
29 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
Generating Informative and Diverse Conversational Responses via
  Adversarial Information Maximization
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang
Michel Galley
Jianfeng Gao
Zhe Gan
Xiujun Li
Chris Brockett
W. Dolan
26
294
0
16 Sep 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle
  Encounters
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
Wenhao Ding
Wenshuo Wang
Ding Zhao
22
13
0
15 Sep 2018
Geodesic Clustering in Deep Generative Models
Geodesic Clustering in Deep Generative Models
Tao Yang
Georgios Arvanitidis
Dongmei Fu
Xiaogang Li
Søren Hauberg
11
27
0
13 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent
  Representations
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari
Harold Soh
CoGe
CML
UD
DRL
19
31
0
12 Sep 2018
A Unified Feature Disentangler for Multi-Domain Image Translation and
  Manipulation
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu
Yen-Cheng Liu
Yu-Ying Yeh
Y. Wang
23
213
0
05 Sep 2018
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary
  classifier variational autoencoder
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
Hirokazu Kameoka
Takuhiro Kaneko
Kou Tanaka
Nobukatsu Hojo
DRL
11
59
0
13 Aug 2018
Disentangled Representation Learning for Non-Parallel Text Style
  Transfer
Disentangled Representation Learning for Non-Parallel Text Style Transfer
V. John
Lili Mou
Hareesh Bahuleyan
Olga Vechtomova
DRL
21
295
0
13 Aug 2018
Learning disentangled representation from 12-lead electrograms:
  application in localizing the origin of Ventricular Tachycardia
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia
P. Gyawali
B. Horácek
J. Sapp
Linwei Wang
17
3
0
04 Aug 2018
X2Face: A network for controlling face generation by using images,
  audio, and pose codes
X2Face: A network for controlling face generation by using images, audio, and pose codes
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
CVBM
19
410
0
27 Jul 2018
Phonetic-and-Semantic Embedding of Spoken Words with Applications in
  Spoken Content Retrieval
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval
Yi-Chen Chen
Sung-Feng Huang
Chia-Hao Shen
Hung-yi Lee
Lin-Shan Lee
38
37
0
21 Jul 2018
Compositional GAN: Learning Image-Conditional Binary Composition
Compositional GAN: Learning Image-Conditional Binary Composition
S. Azadi
Deepak Pathak
Sayna Ebrahimi
Trevor Darrell
GAN
CoGe
29
26
0
19 Jul 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic
  Structure
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel
Ihsan Utlu
Furkan Şahinuç
H. Ozaktas
Aykut Kocc
22
14
0
19 Jul 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
20
535
0
12 Jul 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas L. Griffiths
21
68
0
12 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
14
87
0
04 Jul 2018
Restructuring Batch Normalization to Accelerate CNN Training
Restructuring Batch Normalization to Accelerate CNN Training
Wonkyung Jung
Daejin Jung
and Byeongho Kim
Sunjung Lee
Wonjong Rhee
Jung Ho Ahn
21
62
0
04 Jul 2018
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell
  Scoring on NSCLC Tissue Needle Biopsies
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies
A. Kapil
A. Meier
A. Zuraw
K. Steele
Marlon Rebelatto
Gunter Schmidt
N. Brieu
15
91
0
28 Jun 2018
Unsupervised Learning of Object Landmarks through Conditional Image
  Generation
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomas Jakab
Ankush Gupta
Hakan Bilen
Andrea Vedaldi
SSL
30
252
0
20 Jun 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and
  Appearance
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu
M. Sahasrabudhe
R. Güler
Dimitris Samaras
Nikos Paragios
Iasonas Kokkinos
CVBM
17
199
0
18 Jun 2018
Deformable Generator Networks: Unsupervised Disentanglement of
  Appearance and Geometry
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
X. Xing
Ruiqi Gao
Tian Han
Song-Chun Zhu
Ying Nian Wu
DRL
19
28
0
16 Jun 2018
Learning Factorized Multimodal Representations
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
Ruslan Salakhutdinov
DRL
55
402
0
16 Jun 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
20
85
0
14 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
19
42
0
07 Jun 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin
Matthias Huser
Francesco Locatello
Heiko Strathmann
Gunnar Rätsch
BDL
AI4TS
24
140
0
06 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
40
1,840
0
31 May 2018
On GANs and GMMs
On GANs and GMMs
Eitan Richardson
Yair Weiss
GAN
23
149
0
31 May 2018
Capturing Variabilities from Computed Tomography Images with Generative
  Adversarial Networks
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks
U. Javaid
J. Lee
GAN
MedIm
25
5
0
29 May 2018
Image-to-image translation for cross-domain disentanglement
Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia
Joost van de Weijer
Yoshua Bengio
DRL
25
239
0
24 May 2018
Imitating Latent Policies from Observation
Imitating Latent Policies from Observation
Ashley D. Edwards
Himanshu Sahni
Yannick Schroecker
Charles Isbell
29
137
0
21 May 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
18
69
0
19 May 2018
Generative Creativity: Adversarial Learning for Bionic Design
Generative Creativity: Adversarial Learning for Bionic Design
Simiao Yu
Hao Dong
Pan Wang
Chao Wu
Yike Guo
GAN
25
8
0
19 May 2018
GANE: A Generative Adversarial Network Embedding
GANE: A Generative Adversarial Network Embedding
Huiting Hong
Xin Li
Mingzhong Wang
GAN
13
30
0
18 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
37
1,368
0
17 May 2018
Transferring GANs: generating images from limited data
Transferring GANs: generating images from limited data
Yaxing Wang
Chenshen Wu
Luis Herranz
Joost van de Weijer
Abel Gonzalez-Garcia
Bogdan Raducanu
27
283
0
04 May 2018
MC-GAN: Multi-conditional Generative Adversarial Network for Image
  Synthesis
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
Hyojin Park
Y. Yoo
Nojun Kwak
GAN
22
58
0
03 May 2018
Towards Interpretable Face Recognition
Towards Interpretable Face Recognition
Bangjie Yin
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
CVBM
14
82
0
02 May 2018
SHADE: Information Based Regularization for Deep Learning
SHADE: Information Based Regularization for Deep Learning
Michael Blot
Thomas Robert
Nicolas Thome
Matthieu Cord
23
12
0
29 Apr 2018
Network Transplanting
Network Transplanting
Quanshi Zhang
Yu Yang
Ying Nian Wu
Song-Chun Zhu
OOD
6
5
0
26 Apr 2018
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Chenrui Zhang
Yuxin Peng
15
47
0
26 Apr 2018
Unsupervised Disentangled Representation Learning with Analogical
  Relations
Unsupervised Disentangled Representation Learning with Analogical Relations
Z. Li
Yongchuan Tang
Yongxing He
GAN
17
14
0
25 Apr 2018
Deep Facial Expression Recognition: A Survey
Deep Facial Expression Recognition: A Survey
Shan Li
Weihong Deng
133
1,280
0
23 Apr 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
  Induction
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction
K. Stratos
16
26
0
20 Apr 2018
Disentangling Controllable and Uncontrollable Factors of Variation by
  Interacting with the World
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
21
10
0
19 Apr 2018
A Variational U-Net for Conditional Appearance and Shape Generation
A Variational U-Net for Conditional Appearance and Shape Generation
Patrick Esser
E. Sutter
Bjorn Ommer
28
417
0
12 Apr 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
9
822
0
10 Apr 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan Willem van de Meent
OOD
CML
BDL
DRL
21
165
0
06 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
23
241
0
31 Mar 2018
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