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Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

19 November 2015
Alec Radford
Luke Metz
Soumith Chintala
    GAN
    OOD
ArXivPDFHTML

Papers citing "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks"

50 / 2,063 papers shown
Title
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
38
72
0
29 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
On the Benefit of Adversarial Training for Monocular Depth Estimation
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
GAN
MDE
12
29
0
29 Oct 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai
Walter A. Talbott
Carlos Guestrin
J. Susskind
GAN
22
9
0
29 Oct 2019
Highly-scalable, physics-informed GANs for learning solutions of
  stochastic PDEs
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Liu Yang
Sean Treichler
Thorsten Kurth
Keno Fischer
D. Barajas-Solano
...
Valentin Churavy
A. Tartakovsky
Michael Houston
P. Prabhat
George Karniadakis
AI4CE
47
38
0
29 Oct 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in
  Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
26
41
0
28 Oct 2019
Few-shot Video-to-Video Synthesis
Few-shot Video-to-Video Synthesis
Ting-Chun Wang
Ming Liu
Andrew Tao
Guilin Liu
Jan Kautz
Bryan Catanzaro
DiffM
VGen
53
367
0
28 Oct 2019
FontGAN: A Unified Generative Framework for Chinese Character
  Stylization and De-stylization
FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
Xiyan Liu
Gaofeng Meng
Shiming Xiang
Chunhong Pan
37
5
0
28 Oct 2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep
  Generative Models
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
P. Gyawali
Rudra Saha
Linwei Wang
V. Veeravasarapu
M. Singh
DiffM
DRL
33
0
0
26 Oct 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
36
284
0
26 Oct 2019
Data Augmentation for Skin Lesion using Self-Attention based Progressive
  Generative Adversarial Network
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network
Ibrahim Saad Ali
Mamdouh Farouk Mohamed
Y. B. Mahdy
GAN
MedIm
20
119
0
25 Oct 2019
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot Generate
David Bau
Jun-Yan Zhu
Jonas Wulff
William S. Peebles
Hendrik Strobelt
Bolei Zhou
Antonio Torralba
GAN
48
308
0
24 Oct 2019
Deep generative model-driven multimodal prostate segmentation in
  radiotherapy
Deep generative model-driven multimodal prostate segmentation in radiotherapy
K. Girum
G. Créhange
Raabid Hussain
P. Walker
A. Lalande
GAN
MedIm
25
9
0
23 Oct 2019
Region Based Adversarial Synthesis of Facial Action Units
Region Based Adversarial Synthesis of Facial Action Units
Zhilei Liu
Diyi Liu
Yunpeng Wu
GAN
CVBM
22
14
0
23 Oct 2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Petru Soviany
Claudiu Ardei
Radu Tudor Ionescu
Marius Leordeanu
GAN
27
48
0
20 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad
  Samples
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Wenyuan Li
Zichen Wang
Yuguang Yue
Jiayun Li
W. Speier
Mingyuan Zhou
C. Arnold
GAN
21
22
0
18 Oct 2019
Full-Scale Continuous Synthetic Sonar Data Generation with Markov
  Conditional Generative Adversarial Networks
Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
Marija Jegorova
Antti Ilari Karjalainen
Jose Vazquez
Timothy Hospedales
8
12
0
15 Oct 2019
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and
  Feature Alignment
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
Guanán Wang
Tianzhu Zhang
Jian Cheng
Si Liu
Yang Yang
Zeng-Huang Hou
GAN
21
357
0
13 Oct 2019
Generative Image Translation for Data Augmentation in Colorectal
  Histopathology Images
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Jerry W. Wei
A. Suriawinata
L. Vaickus
Bing Ren
Xiaoying Liu
Jason W. Wei
Saeed Hassanpour
GAN
MedIm
27
72
0
13 Oct 2019
Complement Face Forensic Detection and Localization with FacialLandmarks
Complement Face Forensic Detection and Localization with FacialLandmarks
Kritaphat Songsri-in
S. Zafeiriou
CVBM
22
31
0
12 Oct 2019
Illegible Text to Readable Text: An Image-to-Image Transformation using
  Conditional Sliced Wasserstein Adversarial Networks
Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks
Mostafa Karimi
Gopalkrishna Veni
Yen-Yun Yu
GAN
22
5
0
11 Oct 2019
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao
Yuan Guo
Zheng Lian
Yingmin Tang
Jianguo Xiao
GAN
38
101
0
11 Oct 2019
Evolutionary Multiobjective Optimization Driven by Generative
  Adversarial Networks (GANs)
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
Cheng He
Shihua Huang
Ran Cheng
Kay Chen Tan
Yaochu Jin
GAN
8
122
0
11 Oct 2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray
  Data Augmentation
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Y. Xing
Z. Ge
Rui Zeng
Dwarikanath Mahapatra
J. Seah
M. Law
Tom Drummond
GAN
LM&MA
MedIm
8
30
0
11 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay
Demon: Improved Neural Network Training with Momentum Decay
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
ODL
24
15
0
11 Oct 2019
Practical License Plate Recognition in Unconstrained Surveillance
  Systems with Adversarial Super-Resolution
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
Younkwan Lee
Jiwon Jun
Yoojin Hong
M. Jeon
27
15
0
10 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
27
61
0
09 Oct 2019
Improving Password Guessing via Representation Learning
Improving Password Guessing via Representation Learning
Dario Pasquini
Ankit Gangwal
G. Ateniese
M. Bernaschi
Mauro Conti
OOD
19
71
0
09 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric?
How Well Do WGANs Estimate the Wasserstein Metric?
Anton Mallasto
Guido Montúfar
Augusto Gerolin
30
25
0
09 Oct 2019
Semantic-aware Image Deblurring
Semantic-aware Image Deblurring
Fuhai Chen
Rongrong Ji
Chengpeng Dai
Xiaoshuai Sun
Chia-Wen Lin
Jiayi Ji
Baochang Zhang
Feiyue Huang
Liujuan Cao
BDL
VLM
25
6
0
09 Oct 2019
ATFaceGAN: Single Face Image Restoration and Recognition from
  Atmospheric Turbulence
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence
Chun Pong Lau
Hossein Souri
Rama Chellappa
CVBM
28
30
0
07 Oct 2019
FastEstimator: A Deep Learning Library for Fast Prototyping and
  Productization
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization
Xiaomeng Dong
Junpyo Hong
Hsi-Ming Chang
Michael Potter
Aritra Chowdhury
...
Rajesh Tamada
Gaurav Kumar
Caroline Favart
V. R. Saripalli
Gopal Avinash
21
2
0
07 Oct 2019
Soft-Label Dataset Distillation and Text Dataset Distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
Ilia Sucholutsky
Matthias Schonlau
DD
33
132
0
06 Oct 2019
Time-Dependent Deep Image Prior for Dynamic MRI
Time-Dependent Deep Image Prior for Dynamic MRI
Mikhail O. Chekanov
Kyong Hwan Jin
Harshit Gupta
Jerome Yerly
M. Stuber
M. Unser
MedIm
14
153
0
03 Oct 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated images
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
27
129
0
03 Oct 2019
CNN-based Semantic Segmentation using Level Set Loss
CNN-based Semantic Segmentation using Level Set Loss
Youngeun Kim
Seunghyeon Kim
Taekyung Kim
Changick Kim
SSeg
42
56
0
02 Oct 2019
On the estimation of the Wasserstein distance in generative models
On the estimation of the Wasserstein distance in generative models
Thomas Pinetz
Daniel Soukup
Thomas Pock
GAN
27
9
0
02 Oct 2019
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Daniel de Souza Severo
Flávio Amaro
Estevam R. Hruschka
André Soares de Moura Costa
CML
18
4
0
02 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
30
426
0
01 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
84
0
30 Sep 2019
Counterfactual States for Atari Agents via Generative Deep Learning
Counterfactual States for Atari Agents via Generative Deep Learning
Matthew Lyle Olson
Lawrence Neal
Fuxin Li
Weng-Keen Wong
CML
21
29
0
27 Sep 2019
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image
  Datasets via RGBD Image Synthesis
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
Atsuhiro Noguchi
Tatsuya Harada
GAN
37
30
0
27 Sep 2019
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based
  Mesh Embedding
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding
Qingyang Tan
Zherong Pan
Lin Gao
Tianyi Zhou
AI4CE
19
22
0
26 Sep 2019
Unsupervised Image Translation using Adversarial Networks for Improved
  Plant Disease Recognition
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
H. Nazki
Sook Yoon
A. Fuentes
D. Park
GAN
MedIm
27
152
0
26 Sep 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
24
53
0
26 Sep 2019
Explicitly disentangling image content from translation and rotation
  with spatial-VAE
Explicitly disentangling image content from translation and rotation with spatial-VAE
Tristan Bepler
Ellen D. Zhong
Kotaro Kelley
E. Brignole
Bonnie Berger
CoGe
DRL
27
74
0
25 Sep 2019
Deep Learning for Deepfakes Creation and Detection: A Survey
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
D. Nguyen
Thien Huynh-The
S. Nahavandi
Thanh Tam Nguyen
Viet Quoc Pham
Cu Nguyen
31
433
0
25 Sep 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
51
349
0
25 Sep 2019
Conditional Transferring Features: Scaling GANs to Thousands of Classes
  with 30% Less High-quality Data for Training
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training
Chunpeng Wu
W. Wen
Yiran Chen
H. Li
GAN
30
2
0
25 Sep 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arna Ghosh
Richard Y. Zhang
P. Dokania
Oliver Wang
Alexei A. Efros
Philip Torr
Eli Shechtman
VLM
DiffM
27
130
0
24 Sep 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in
  Feature Space with Softplus Loss
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding
Z. Jane Wang
William J. Welch
21
18
0
24 Sep 2019
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