Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1606.03657
Cited By
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
50 / 576 papers shown
Title
Learning Interpretable Disentangled Representations using Adversarial VAEs
Mhd Hasan Sarhan
Abouzar Eslami
Nassir Navab
Shadi Albarqouni
DRL
OOD
17
20
0
17 Apr 2019
Long-Term Human Video Generation of Multiple Futures Using Poses
Naoya Fushishita
Antonio Tejero-de-Pablos
Yusuke Mukuta
Tatsuya Harada
14
9
0
16 Apr 2019
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
Mai Xu
Li Yang
Xiaoming Tao
Yiping Duan
Zulin Wang
20
29
0
15 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
DRL
23
76
0
02 Apr 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Alireza Koochali
P. Schichtel
Sheraz Ahmed
Andreas Dengel
AI4TS
22
72
0
29 Mar 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller
Vincent Aravantinos
F. Lay
Alois C. Knoll
19
219
0
19 Mar 2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance
Dominik Lorenz
Leonard Bereska
Timo Milbich
Bjorn Ommer
OCL
DRL
25
147
0
16 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat
Duo Wang
M. Jamnik
Pietro Lió
BDL
OCL
18
5
0
14 Mar 2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
Jiawang Bai
Yiming Li
Jiawei Li
Yong Jiang
Shutao Xia
29
14
0
14 Mar 2019
Neural Scene Decomposition for Multi-Person Motion Capture
Helge Rhodin
Victor Constantin
Isinsu Katircioglu
Mathieu Salzmann
Pascal Fua
3DH
SSL
17
47
0
13 Mar 2019
Using Causal Analysis to Learn Specifications from Task Demonstrations
Daniel Angelov
Yordan V. Hristov
S. Ramamoorthy
CML
26
19
0
04 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
13
499
0
01 Mar 2019
Generative Models for Low-Rank Video Representation and Reconstruction
Rakib Hyder
M. Salman Asif
GAN
19
11
0
25 Feb 2019
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
13
26
0
20 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors
Minyoung Kim
Yuting Wang
Pritish Sahu
Vladimir Pavlovic
CoGe
CML
DRL
19
38
0
05 Feb 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
UQCV
44
373
0
25 Jan 2019
RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei
Quan Cui
Lei Yang
Peng Wang
Lingqiao Liu
13
124
0
22 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
Hugo Oliveira
E. Ferreira
J. A. dos Santos
MedIm
19
14
0
16 Jan 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations
Yi-Hsuan Tsai
Kihyuk Sohn
S. Schulter
Manmohan Chandraker
OOD
38
319
0
16 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard A. Newcombe
S. Lovegrove
3DV
21
3,612
0
16 Jan 2019
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
Adam W. Harley
S. Wei
Jason M. Saragih
Katerina Fragkiadaki
22
5
0
11 Jan 2019
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
Lorenzo Frigerio
Anderson Santana de Oliveira
L. Gomez
Patrick Duverger
SyDa
AI4TS
15
110
0
08 Jan 2019
Understanding the (un)interpretability of natural image distributions using generative models
Ryen Krusinga
Sohil Shah
Matthias Zwicker
Tom Goldstein
David Jacobs
DiffM
FAtt
GAN
23
11
0
06 Jan 2019
Explaining Neural Networks Semantically and Quantitatively
Runjin Chen
Hao Chen
Ge Huang
J. Ren
Quanshi Zhang
FAtt
18
54
0
18 Dec 2018
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
Zhiwei Wang
Yi Lin
K. Cheng
Xin Yang
MedIm
19
29
0
17 Dec 2018
Spatial Fusion GAN for Image Synthesis
Fangneng Zhan
Hongyuan Zhu
Shijian Lu
19
149
0
14 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,354
0
12 Dec 2018
SMIT: Stochastic Multi-Label Image-to-Image Translation
Andrés Romero
Pablo Arbelaez
Luc Van Gool
Radu Timofte
25
66
0
10 Dec 2018
Counterfactuals uncover the modular structure of deep generative models
M. Besserve
Arash Mehrjou
Rémy Sun
Bernhard Schölkopf
DRL
BDL
DiffM
19
107
0
08 Dec 2018
Visual Object Networks: Image Generation with Disentangled 3D Representation
Jun-Yan Zhu
Zhoutong Zhang
Chengkai Zhang
Jiajun Wu
Antonio Torralba
J. Tenenbaum
Bill Freeman
DRL
CoGe
OCL
27
253
0
06 Dec 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu
Eli Gibson
Sasa Grbic
Zhoubing Xu
A. Setio
J. Yang
Bogdan Georgescu
D. Comaniciu
DiffM
MedIm
25
18
0
04 Dec 2018
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis
Yujun Shen
Bolei Zhou
Ping Luo
Xiaoou Tang
CVBM
30
38
0
04 Dec 2018
Rare Event Detection using Disentangled Representation Learning
Ryuhei Hamaguchi
Ken Sakurada
Ryosuke Nakamura
DRL
18
35
0
04 Dec 2018
A Spectral Regularizer for Unsupervised Disentanglement
Aditya A. Ramesh
Youngduck Choi
Yann LeCun
DRL
19
42
0
04 Dec 2018
Knowledge Distillation with Feature Maps for Image Classification
Wei-Chun Chen
Chia-Che Chang
Chien-Yu Lu
Che-Rung Lee
21
35
0
03 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Zhibo Wang
Mengkai Song
Zhifei Zhang
Yang Song
Qian Wang
Hairong Qi
FedML
14
775
0
03 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki
Camille Couprie
M. Rivière
Mohamed Elhoseiny
26
64
0
30 Nov 2018
Image Generation from Layout
Bo-Lu Zhao
Lili Meng
Weidong Yin
Leonid Sigal
11
208
0
28 Nov 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
M. Cavallo
Çağatay Demiralp
11
55
0
28 Nov 2018
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
OCL
22
131
0
27 Nov 2018
Pyramid Embedded Generative Adversarial Network for Automated Font Generation
Donghui Sun
Qing Zhang
Jun Yang
GAN
19
28
0
20 Nov 2018
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
13
38
0
19 Nov 2018
Disentangling Latent Factors of Variational Auto-Encoder with Whitening
Md. Zahangir Alom
C. Yakopcic
CoGe
DRL
16
1
0
08 Nov 2018
Robustness of Conditional GANs to Noisy Labels
Kerry J. Halupka
A. Khetan
Zinan Lin
Stephen Moore
NoLa
21
79
0
08 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
22
44
0
01 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability
J. Jacobsen
Jens Behrmann
R. Zemel
Matthias Bethge
AAML
20
166
0
01 Nov 2018
Learning with privileged information via adversarial discriminative modality distillation
Nuno C. Garcia
Pietro Morerio
Vittorio Murino
21
67
0
19 Oct 2018
Structured Content Preservation for Unsupervised Text Style Transfer
Youzhi Tian
Zhiting Hu
Zhou Yu
19
44
0
15 Oct 2018
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Yixiao Ge
Zhuowan Li
Haiyu Zhao
Guojun Yin
Shuai Yi
Xiaogang Wang
Hongsheng Li
19
331
0
06 Oct 2018
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
21
229
0
04 Oct 2018
Previous
1
2
3
...
10
11
12
8
9
Next