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NIPS 2016 Tutorial: Generative Adversarial Networks

NIPS 2016 Tutorial: Generative Adversarial Networks

31 December 2016
Ian Goodfellow
    GAN
ArXivPDFHTML

Papers citing "NIPS 2016 Tutorial: Generative Adversarial Networks"

50 / 263 papers shown
Title
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
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
24
130
0
24 Sep 2019
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography
Basel Alyafi
Oliver Díaz
Robert Martí
MedIm
16
25
0
04 Sep 2019
End-to-End Conditional GAN-based Architectures for Image Colourisation
End-to-End Conditional GAN-based Architectures for Image Colourisation
Marc Górriz
M. Mrak
Alan F. Smeaton
Noel E. O'Connor
GAN
19
27
0
26 Aug 2019
DGSAN: Discrete Generative Self-Adversarial Network
DGSAN: Discrete Generative Self-Adversarial Network
Ehsan Montahaei
Danial Alihosseini
M. Baghshah
6
13
0
24 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Parameterized quantum circuits as machine learning models
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
27
873
0
18 Jun 2019
Revisiting Stochastic Extragradient
Revisiting Stochastic Extragradient
Konstantin Mishchenko
D. Kovalev
Egor Shulgin
Peter Richtárik
Yura Malitsky
14
66
0
27 May 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
27
57
0
27 May 2019
Quantization-Based Regularization for Autoencoders
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
18
2
0
27 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
20
36
0
26 May 2019
Painless Stochastic Gradient: Interpolation, Line-Search, and
  Convergence Rates
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani
Aaron Mishkin
I. Laradji
Mark Schmidt
Gauthier Gidel
Simon Lacoste-Julien
ODL
31
205
0
24 May 2019
Generative Adversarial Networks for Mitigating Biases in Machine
  Learning Systems
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems
Adel Abusitta
Esma Aïmeur
Omar Abdel Wahab
AI4CE
GAN
16
20
0
23 May 2019
Exploring Bias in GAN-based Data Augmentation for Small Samples
Exploring Bias in GAN-based Data Augmentation for Small Samples
Mengxiao Hu
Jinlong Li
16
20
0
21 May 2019
Conditional Generative Neural System for Probabilistic Trajectory
  Prediction
Conditional Generative Neural System for Probabilistic Trajectory Prediction
Jiachen Li
Hengbo Ma
Masayoshi Tomizuka
18
172
0
05 May 2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI
  Sequences Synthesis
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Hongwei Bran Li
Johannes C. Paetzold
Anjany Sekuboyina
Florian Kofler
Jianguo Zhang
Jan S. Kirschke
Benedikt Wiestler
Bjoern H. Menze
GAN
MedIm
24
88
0
29 Apr 2019
Efficient Online Quantum Generative Adversarial Learning Algorithms with
  Applications
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
Yuxuan Du
Min-hsiu Hsieh
Dacheng Tao
27
23
0
21 Apr 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease:
  Overview and Reproducible Evaluation
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen
Elina Thibeau-Sutre
Mauricio Diaz-Melo
J. Samper-González
A. Routier
Simona Bottani
Didier Dormont
S. Durrleman
Ninon Burgos
O. Colliot
36
507
0
16 Apr 2019
Jointly Measuring Diversity and Quality in Text Generation Models
Jointly Measuring Diversity and Quality in Text Generation Models
Ehsan Montahaei
Danial Alihosseini
M. Baghshah
27
76
0
08 Apr 2019
Painting with baryons: augmenting N-body simulations with gas using deep
  generative models
Painting with baryons: augmenting N-body simulations with gas using deep generative models
T. Tröster
C. Ferguson
J. Harnois-Déraps
I. McCarthy
AI4CE
24
49
0
28 Mar 2019
Approximate Query Processing using Deep Generative Models
Approximate Query Processing using Deep Generative Models
Saravanan Thirumuruganathan
Shohedul Hasan
Nick Koudas
Gautam Das
43
50
0
24 Mar 2019
Deep Learning in Medical Image Registration: A Survey
Deep Learning in Medical Image Registration: A Survey
Grant Haskins
Uwe Krüger
Pingkun Yan
MedIm
24
585
0
05 Mar 2019
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional
  GAN
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Ke Sun
Zhanxing Zhu
Zhouchen Lin
AAML
19
20
0
28 Feb 2019
Data augmentation for low resource sentiment analysis using generative
  adversarial networks
Data augmentation for low resource sentiment analysis using generative adversarial networks
Rahul Gupta
GAN
36
30
0
18 Feb 2019
Lipschitz Generative Adversarial Nets
Lipschitz Generative Adversarial Nets
Zhiming Zhou
Jiadong Liang
Yuxuan Song
Lantao Yu
Hongwei Wang
Weinan Zhang
Yong Yu
Zhihua Zhang
GAN
25
78
0
15 Feb 2019
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
Michal Uřičář
P. Krízek
David Hurych
Ibrahim Sobh
S. Yogamani
Patrick Denny
GAN
30
58
0
09 Feb 2019
Multi-objective training of Generative Adversarial Networks with
  multiple discriminators
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
João Monteiro
T. Doan
Breandan Considine
T. Falk
Ioannis Mitliagkas
30
66
0
24 Jan 2019
Introducing a Generative Adversarial Network Model for Lagrangian
  Trajectory Simulation
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation
Jingwei Gan
Pai Liu
R. Chakrabarty
GAN
16
0
0
13 Jan 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language
  Models for Online Review Generation
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
Cristina Garbacea
Samuel Carton
Shiyan Yan
Qiaozhu Mei
ELM
25
29
0
02 Jan 2019
Visual Object Networks: Image Generation with Disentangled 3D
  Representation
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
38
253
0
06 Dec 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
59
759
0
21 Nov 2018
Typeface Completion with Generative Adversarial Networks
Typeface Completion with Generative Adversarial Networks
Xin Long
Junhyun Lee
Yookyung Koh
Inyeop Lee
Jinhyuk Lee
Jaewoo Kang
19
3
0
09 Nov 2018
Single-Model Uncertainties for Deep Learning
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska
David Lopez-Paz
UQCV
BDL
31
25
0
02 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial
  Learning
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
35
44
0
01 Nov 2018
Mixture Density Generative Adversarial Networks
Mixture Density Generative Adversarial Networks
Hamid Eghbalzadeh
Werner Zellinger
Gerhard Widmer
GAN
22
39
0
31 Oct 2018
Deblending galaxy superpositions with branched generative adversarial
  networks
Deblending galaxy superpositions with branched generative adversarial networks
D. Reiman
Brett E. Göhre
GAN
15
36
0
23 Oct 2018
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
27
91
0
23 Oct 2018
Metropolis-Hastings view on variational inference and adversarial
  training
Metropolis-Hastings view on variational inference and adversarial training
Kirill Neklyudov
Evgenii Egorov
Pavel Shvechikov
Dmitry Vetrov
GAN
29
13
0
16 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINN
AI4CE
21
57
0
11 Oct 2018
Generative Adversarial Active Learning for Unsupervised Outlier
  Detection
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu
Zhe Li
Chong Zhou
Yuanchun Jiang
Jianshan Sun
Ming Wang
Xiangnan He
6
299
0
28 Sep 2018
Conditional WaveGAN
Conditional WaveGAN
Chae Young Lee
Anoop Toffy
G. Jung
W. Han
DiffM
24
21
0
27 Sep 2018
Flow-based Network Traffic Generation using Generative Adversarial
  Networks
Flow-based Network Traffic Generation using Generative Adversarial Networks
Markus Ring
Daniel Schlor
Dieter Landes
Andreas Hotho
34
169
0
27 Sep 2018
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedIm
AI4CE
23
408
0
13 Sep 2018
Rethinking Monocular Depth Estimation with Adversarial Training
Rethinking Monocular Depth Estimation with Adversarial Training
Richard J. Chen
Faisal Mahmood
Alan Yuille
Nicholas J. Durr
GAN
MDE
28
44
0
22 Aug 2018
Automatic Detection of Vague Words and Sentences in Privacy Policies
Automatic Detection of Vague Words and Sentences in Privacy Policies
Logan Lebanoff
Fei Liu
EgoV
23
40
0
19 Aug 2018
Improving Conditional Sequence Generative Adversarial Networks by
  Stepwise Evaluation
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation
Yi-Lin Tuan
Hung-yi Lee
GAN
22
55
0
16 Aug 2018
Towards Distributed Coevolutionary GANs
Towards Distributed Coevolutionary GANs
Abdullah Al-Dujaili
Tom Schmiedlechner
Erik Hemberg
Una-May O’Reilly
GAN
36
41
0
21 Jul 2018
Editable Generative Adversarial Networks: Generating and Editing Faces
  Simultaneously
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
Kyungjune Baek
Duhyeon Bang
Hyunjung Shim
GAN
CVBM
21
6
0
20 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
37
26
0
19 Jul 2018
Airline Passenger Name Record Generation using Generative Adversarial
  Networks
Airline Passenger Name Record Generation using Generative Adversarial Networks
Alejandro Mottini
Alix Lhéritier
Rodrigo Acuna-Agost
GAN
23
51
0
17 Jul 2018
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