ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.06434
  4. Cited By
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
Disentangled Representation Learning in Cardiac Image Analysis
Disentangled Representation Learning in Cardiac Image Analysis
A. Chartsias
T. Joyce
G. Papanastasiou
M. Williams
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
DRL
25
126
0
22 Mar 2019
Detecting GAN generated Fake Images using Co-occurrence Matrices
Detecting GAN generated Fake Images using Co-occurrence Matrices
L. Nataraj
Tajuddin Manhar Mohammed
S. Chandrasekaran
A. Flenner
Jawadul H. Bappy
Amit K. Roy-Chowdhury
B. S. Manjunath
GAN
47
269
0
15 Mar 2019
Inserting Videos into Videos
Inserting Videos into Videos
Donghoon Lee
Tomas Pfister
Ming-Hsuan Yang
GAN
34
20
0
15 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
Animesh Karnewar
Oliver Wang
GAN
16
50
0
14 Mar 2019
Inferring Personalized Bayesian Embeddings for Learning from
  Heterogeneous Demonstration
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration
Rohan R. Paleja
Matthew C. Gombolay
27
7
0
14 Mar 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
60
184
0
12 Mar 2019
Deep learning for molecular design - a review of the state of the art
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton
Zois Boukouvalas
M. Fuge
Peter W. Chung
AI4CE
3DV
29
327
0
11 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
39
757
0
09 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Adrian Dalca
John Guttag
M. Sabuncu
DRL
23
13
0
08 Mar 2019
Adversarial Out-domain Examples for Generative Models
Adversarial Out-domain Examples for Generative Models
Dario Pasquini
Marco Mingione
M. Bernaschi
WIGM
SILM
AAML
23
6
0
07 Mar 2019
Alternating Phase Projected Gradient Descent with Generative Priors for
  Solving Compressive Phase Retrieval
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval
Rakib Hyder
Viraj Shah
Chinmay Hegde
Ulugbek S. Kamilov
21
45
0
07 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
30
37
0
06 Mar 2019
Conditional GANs For Painting Generation
Conditional GANs For Painting Generation
A. Mufti
Biagio Antonelli
Julius Monello
GAN
17
8
0
06 Mar 2019
Autonomy, Authenticity, Authorship and Intention in computer generated
  art
Autonomy, Authenticity, Authorship and Intention in computer generated art
Jon McCormack
Toby Gifford
P. Hutchings
16
70
0
06 Mar 2019
Towards a Uniform Architecture for the Efficient Implementation of 2D
  and 3D Deconvolutional Neural Networks on FPGAs
Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs
Deguang Wang
Junzhong Shen
M. Wen
Chunyuan Zhang
13
8
0
06 Mar 2019
Distinguishing mirror from glass: A 'big data' approach to material
  perception
Distinguishing mirror from glass: A 'big data' approach to material perception
Hideki Tamura
Konrad E. Prokott
R. Fleming
OOD
AAML
22
9
0
05 Mar 2019
Accelerating Training of Deep Neural Networks with a Standardization
  Loss
Accelerating Training of Deep Neural Networks with a Standardization Loss
Jasmine Collins
Johannes Ballé
Jonathon Shlens
21
3
0
03 Mar 2019
Asymptotics of MAP Inference in Deep Networks
Asymptotics of MAP Inference in Deep Networks
Parthe Pandit
Mojtaba Sahraee
S. Rangan
A. Fletcher
24
21
0
01 Mar 2019
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Haonan Qiu
Chuan Wang
Hang Zhu
Xiangyu Zhu
Jinjin Gu
Xiaoguang Han
3DH
GAN
11
12
0
28 Feb 2019
On the generalization of GAN image forensics
On the generalization of GAN image forensics
Xinsheng Xuan
Bo Peng
Wei Wang
Jing Dong
CVBM
17
141
0
27 Feb 2019
Harmonic Unpaired Image-to-image Translation
Harmonic Unpaired Image-to-image Translation
Rui Zhang
Tomas Pfister
Jia Li
GAN
16
48
0
26 Feb 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial
  Networks
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li
Bo Jiang
Benjamin M. Marlin
GAN
SyDa
14
167
0
25 Feb 2019
Generative Models for Low-Rank Video Representation and Reconstruction
Generative Models for Low-Rank Video Representation and Reconstruction
Rakib Hyder
Ulugbek S. Kamilov
GAN
27
11
0
25 Feb 2019
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic
  and Instance Segmentation of Surgical Instrument
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. Hasan
Cristian A. Linte
MedIm
25
92
0
24 Feb 2019
GANSynth: Adversarial Neural Audio Synthesis
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel
Kumar Krishna Agrawal
Shuo Chen
Ishaan Gulrajani
Chris Donahue
Adam Roberts
49
385
0
23 Feb 2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks
  with Sensitivity Encoding
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Muhammad Usman
Muhammad Asim
S. Latif
B. Lee
Junaid Qadir
MedIm
DiffM
GAN
30
58
0
20 Feb 2019
LipschitzLR: Using theoretically computed adaptive learning rates for
  fast convergence
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
Rahul Yedida
Snehanshu Saha
Tejas Prashanth
ODL
25
12
0
20 Feb 2019
Fast Compressive Sensing Recovery Using Generative Models with
  Structured Latent Variables
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables
Shaojie Xu
Sihan Zeng
Justin Romberg
GAN
DiffM
27
16
0
19 Feb 2019
Generative Adversarial Networks Synthesize Realistic OCT Images of the
  Retina
Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina
Stephen G. Odaibo
M. D.
M. S.
M. S.
MedIm
GAN
13
7
0
18 Feb 2019
Fully-Featured Attribute Transfer
Fully-Featured Attribute Transfer
De Xie
Muli Yang
Cheng Deng
Wen Liu
Dacheng Tao
GAN
DiffM
19
7
0
17 Feb 2019
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma
  Multiform Image Classification Based on DCGAN and AlexNet
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu Li
Hailiang Tang
M. Chan
Xiaobo Zhou
Xiaohua Qian
MedIm
AI4CE
36
51
0
16 Feb 2019
Towards Automated Melanoma Detection with Deep Learning: Data
  Purification and Augmentation
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation
Devansh Bisla
A. Choromańska
J. Stein
D. Polsky
R. Berman
MedIm
34
17
0
16 Feb 2019
Engineered Self-Organization for Resilient Robot Self-Assembly with
  Minimal Surprise
Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise
Tanja Katharina Kaiser
Heiko Hamann
32
9
0
14 Feb 2019
Semi-Supervised Multitask Learning on Multispectral Satellite Images
  Using Wasserstein Generative Adversarial Networks (GANs) for Predicting
  Poverty
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty
Anthony Perez
Swetava Ganguli
Stefano Ermon
G. Azzari
Marshall Burke
David B. Lobell
GAN
21
38
0
13 Feb 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive
  Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
Jonas Löhdefink
Andreas Bär
Nico M. Schmidt
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
29
15
0
12 Feb 2019
Exploring Explicit Domain Supervision for Latent Space Disentanglement
  in Unpaired Image-to-Image Translation
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
Jianxin Lin
Zhibo Chen
Yingce Xia
Sen Liu
Tao Qin
Jiebo Luo
GAN
30
50
0
11 Feb 2019
A Minimal Template for Interactive Web-based Demonstrations of Musical
  Machine Learning
A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning
Vibert Thio
Hao-Min Liu
Yin-Cheng Yeh
Yi-Hsuan Yang
16
10
0
11 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Anton Mallasto
J. Frellsen
Wouter Boomsma
Aasa Feragen
22
15
0
10 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
19
110
0
08 Feb 2019
Beholder-GAN: Generation and Beautification of Facial Images with
  Conditioning on Their Beauty Level
Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
Nir Diamant
Dean Zadok
Chaim Baskin
Eli Schwartz
A. Bronstein
CVBM
DiffM
22
32
0
07 Feb 2019
Illumination Invariant Foreground Object Segmentation using ForeGANs
Illumination Invariant Foreground Object Segmentation using ForeGANs
M. Sultana
Soon Ki Jung
GAN
14
2
0
07 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
30
16
0
02 Feb 2019
Domain invariant hierarchical embedding for grocery products recognition
Domain invariant hierarchical embedding for grocery products recognition
A. Tonioni
Luigi Di Stefano
BDL
19
33
0
02 Feb 2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain
  Adaptation
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation
Jongyeong Lee
Nontawat Charoenphakdee
Seiichi Kuroki
Masashi Sugiyama
18
11
0
30 Jan 2019
Progressive Augmentation of GANs
Progressive Augmentation of GANs
Dan Zhang
Anna Khoreva
27
27
0
29 Jan 2019
Generative Adversarial Networks for geometric surfaces prediction in
  injection molding
Generative Adversarial Networks for geometric surfaces prediction in injection molding
Pierre Nagorny
Thomas Lacombe
H. Favrelière
Maurice Pillet
É. Pairel
R. Goff
Marlène Wali
Jérôme Loureaux
Patrice Kiener
GAN
AI4CE
11
2
0
29 Jan 2019
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation
Zihan Ding
Xiao-Yang Liu
Miao Yin
Lingyu Kong
GAN
23
27
0
28 Jan 2019
Attribute-Guided Sketch Generation
Attribute-Guided Sketch Generation
Hao Tang
Xinya Chen
Wei Wang
Dan Xu
Jason J. Corso
N. Sebe
Yan Yan
CVBM
GAN
28
23
0
28 Jan 2019
Deconstructing Generative Adversarial Networks
Deconstructing Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
David Tse
34
49
0
27 Jan 2019
Pixelated Semantic Colorization
Pixelated Semantic Colorization
Jiaojiao Zhao
Jiawei Han
Ling Shao
Cees G. M. Snoek
27
76
0
27 Jan 2019
Previous
123...262728...404142
Next