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Improved Techniques for Training GANs

Improved Techniques for Training GANs

10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
    GAN
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Papers citing "Improved Techniques for Training GANs"

50 / 3,501 papers shown
Title
Multimodal Generative Models for Compositional Representation Learning
Multimodal Generative Models for Compositional Representation Learning
Mike Wu
Noah D. Goodman
GAN
DRL
59
17
0
11 Dec 2019
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained
  Lesion Synthesis on Diabetic Retinopathy Images
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
Yi Zhou
Boyang Wang
Xiaodong He
Shanshan Cui
Ling Shao
GAN
MedIm
32
92
0
10 Dec 2019
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
A. Mondal
Sankalan Pal Chowdhury
Aravind Jayendran
Parag Singla
Himanshu Asnani
P. PrathoshA.
GAN
DRL
8
0
0
10 Dec 2019
Semi-supervised Learning Approach to Generate Neuroimaging Modalities
  with Adversarial Training
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
H. Nguyen
Simon Luo
Fabio Ramos
GAN
MedIm
27
4
0
09 Dec 2019
cGANs with Multi-Hinge Loss
cGANs with Multi-Hinge Loss
Ilya Kavalerov
W. Czaja
Rama Chellappa
GAN
AI4CE
27
23
0
09 Dec 2019
Selective Synthetic Augmentation with Quality Assurance
Selective Synthetic Augmentation with Quality Assurance
Yuan Xue
Jiarong Ye
L. R. Long
Sameer Kiran Antani
Z. Xue
Xiaolei Huang
MedIm
39
4
0
09 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
48
534
0
06 Dec 2019
Differentially Private Synthetic Mixed-Type Data Generation For
  Unsupervised Learning
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning
U. Tantipongpipat
Chris Waites
Digvijay Boob
Amaresh Ankit Siva
Rachel Cummings
SyDa
44
31
0
06 Dec 2019
Generating Videos of Zero-Shot Compositions of Actions and Objects
Generating Videos of Zero-Shot Compositions of Actions and Objects
Megha Nawhal
Mengyao Zhai
Andreas M. Lehrmann
Leonid Sigal
Greg Mori
49
1
0
05 Dec 2019
Learning with Multiplicative Perturbations
Learning with Multiplicative Perturbations
Xiulong Yang
Shihao Ji
AAML
34
4
0
04 Dec 2019
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
A. Z. Zhu
ZiYun Wang
Kaung Khant
Kostas Daniilidis
GAN
39
45
0
03 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression
The Knowledge Within: Methods for Data-Free Model Compression
Matan Haroush
Itay Hubara
Elad Hoffer
Daniel Soudry
20
106
0
03 Dec 2019
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative
  Modeling
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
Yufan Zhou
Changyou Chen
Jinhui Xu
16
2
0
02 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks
LOGAN: Latent Optimisation for Generative Adversarial Networks
Yongpeng Wu
Jeff Donahue
David Balduzzi
Karen Simonyan
Timothy Lillicrap
GAN
18
88
0
02 Dec 2019
DEGAS: Differentiable Efficient Generator Search
DEGAS: Differentiable Efficient Generator Search
Sivan Doveh
Raja Giryes
26
18
0
02 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
31
113
0
02 Dec 2019
Detecting GAN generated errors
Detecting GAN generated errors
Xiru Zhu
Fengdi Che
Tianzi Yang
Tzuyang Yu
David Meger
Gregory Dudek
22
2
0
02 Dec 2019
Approximating Human Judgment of Generated Image Quality
Approximating Human Judgment of Generated Image Quality
Y. A. Kolchinski
Sharon Zhou
Shengjia Zhao
Mitchell L. Gordon
Stefano Ermon
EGVM
14
4
0
30 Nov 2019
Mean Shift Rejection: Training Deep Neural Networks Without Minibatch
  Statistics or Normalization
Mean Shift Rejection: Training Deep Neural Networks Without Minibatch Statistics or Normalization
B. Ruff
Taylor Beck
Joscha Bach
14
3
0
29 Nov 2019
Orthogonal Wasserstein GANs
Orthogonal Wasserstein GANs
J. Müller
Reinhard Klein
Michael Weinmann
67
9
0
29 Nov 2019
Example-Guided Scene Image Synthesis using Masked Spatial-Channel
  Attention and Patch-Based Self-Supervision
Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision
Haitian Zheng
Haofu Liao
Lele Chen
Wei Xiong
Tianlang Chen
Jiebo Luo
24
5
0
27 Nov 2019
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain Adaptation
Hui Tang
Kui Jia
OOD
29
194
0
27 Nov 2019
MixNMatch: Multifactor Disentanglement and Encoding for Conditional
  Image Generation
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
Yuheng Li
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
CoGe
25
75
0
26 Nov 2019
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Osaid Rehman Nasir
S. Jha
Manraj Singh Grover
Yi Yu
Ajit Kumar
R. Shah
CVBM
GAN
22
36
0
26 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Wilson Yan
Jonathan Ho
Pieter Abbeel
22
0
0
25 Nov 2019
Breaking the cycle -- Colleagues are all you need
Breaking the cycle -- Colleagues are all you need
Ori Nizan
A. Tal
GAN
24
91
0
24 Nov 2019
EDIT: Exemplar-Domain Aware Image-to-Image Translation
EDIT: Exemplar-Domain Aware Image-to-Image Translation
Yuanbin Fu
Jiayi Ma
Lin Ma
Xiaojie Guo
32
4
0
24 Nov 2019
Neural Storyboard Artist: Visualizing Stories with Coherent Image
  Sequences
Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences
Shizhe Chen
Bei Liu
Jianlong Fu
Ruihua Song
Qin Jin
Pingping Lin
Xiaoyu Qi
Chunting Wang
Jin Zhou
DiffM
30
33
0
24 Nov 2019
Invert and Defend: Model-based Approximate Inversion of Generative
  Adversarial Networks for Secure Inference
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin
Yogesh Balaji
Pouya Samangouei
Rama Chellappa
33
6
0
23 Nov 2019
Patch-level Neighborhood Interpolation: A General and Effective
  Graph-based Regularization Strategy
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy
Ke Sun
Bin Yu
Zhouchen Lin
Zhanxing Zhu
50
5
0
21 Nov 2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Ligong Han
Ruijiang Gao
Mun Kim
Xin Tao
Bo Liu
Dimitris N. Metaxas
32
14
0
21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
30
34
0
21 Nov 2019
Self-supervised Learning of 3D Objects from Natural Images
Self-supervised Learning of 3D Objects from Natural Images
Hiroharu Kato
Tatsuya Harada
34
7
0
20 Nov 2019
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani
Vivek Natarajan
David Coz
Yuan Liu
GAN
MedIm
38
98
0
20 Nov 2019
Live Face De-Identification in Video
Live Face De-Identification in Video
Oran Gafni
Lior Wolf
Yaniv Taigman
CVBM
PICV
62
134
0
19 Nov 2019
Simple yet Effective Way for Improving the Performance of GAN
Simple yet Effective Way for Improving the Performance of GAN
Y. Shin
Yoon-Jae Yeo
Sung-Jea Ko
13
7
0
19 Nov 2019
Learning to Synthesize Fashion Textures
Learning to Synthesize Fashion Textures
Wu Shi
Tak-Wai Hui
Ziwei Liu
Dahua Lin
Chen Change Loy
21
5
0
18 Nov 2019
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
30
201
0
16 Nov 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax
  Game
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Linxiao Yang
Ngai-Man Cheung
SSL
GAN
23
60
0
16 Nov 2019
Generative Models for Effective ML on Private, Decentralized Datasets
Generative Models for Effective ML on Private, Decentralized Datasets
S. Augenstein
H. B. McMahan
Daniel Ramage
Swaroop Indra Ramaswamy
Peter Kairouz
Mingqing Chen
Rajiv Mathews
Blaise Agüera y Arcas
SyDa
32
182
0
15 Nov 2019
On Model Robustness Against Adversarial Examples
Shufei Zhang
Kaizhu Huang
Zenglin Xu
AAML
28
0
0
15 Nov 2019
Human Annotations Improve GAN Performances
Human Annotations Improve GAN Performances
Juanyong Duan
S. Ong
Qi Zhao
35
0
0
15 Nov 2019
Question-Conditioned Counterfactual Image Generation for VQA
Question-Conditioned Counterfactual Image Generation for VQA
Jingjing Pan
Yash Goyal
Stefan Lee
EgoV
OOD
28
19
0
14 Nov 2019
Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional
  GANs
Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
Jeremiah W. Johnson
MedIm
14
4
0
14 Nov 2019
Adversarial Transformations for Semi-Supervised Learning
Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki
Ikuro Sato
22
13
0
13 Nov 2019
Negative sampling in semi-supervised learning
Negative sampling in semi-supervised learning
John Chen
Vatsal Shah
Anastasios Kyrillidis
36
21
0
12 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
88
2,370
0
11 Nov 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial
  Network to predict RSVP Events
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Sharaj Panwar
P. Rad
T. Jung
Yufei Huang
GAN
37
51
0
11 Nov 2019
Multimodal Intelligence: Representation Learning, Information Fusion,
  and Applications
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Chao Zhang
Zichao Yang
Xiaodong He
Li Deng
HAI
AI4TS
40
326
0
10 Nov 2019
Quality Aware Generative Adversarial Networks
Quality Aware Generative Adversarial Networks
Parimala Kancharla
Sumohana S. Channappayya
GAN
17
27
0
08 Nov 2019
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