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Improving the Improved Training of Wasserstein GANs: A Consistency Term
  and Its Dual Effect

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

5 March 2018
Xiang Wei
Boqing Gong
Zixia Liu
W. Lu
Liqiang Wang
    GAN
ArXivPDFHTML

Papers citing "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect"

41 / 41 papers shown
Title
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
88
0
0
10 Mar 2025
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network
  for Vertically Partitioned Data Publication
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
Xun Yuan
Yang Yang
P. Gope
A. Pasikhani
Biplab Sikdar
42
2
0
15 Apr 2024
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
52
0
0
11 Nov 2022
On Deep Learning in Password Guessing, a Survey
On Deep Learning in Password Guessing, a Survey
Fang Yu
AAML
19
3
0
22 Aug 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for
  Minimax Optimization
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization
Yihang Gao
Huafeng Liu
Michael K. Ng
Mingjie Zhou
19
2
0
23 May 2022
Karaoker: Alignment-free singing voice synthesis with speech training
  data
Karaoker: Alignment-free singing voice synthesis with speech training data
Panos Kakoulidis
Nikolaos Ellinas
G. Vamvoukakis
K. Markopoulos
June Sig Sung
Gunu Jho
Pirros Tsiakoulis
Aimilios Chalamandaris
10
3
0
08 Apr 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
28
33
0
27 Mar 2022
Signature and Log-signature for the Study of Empirical Distributions
  Generated with GANs
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
J. Curtò
I. D. Zarzà
Hong-Mei Yan
Carlos T. Calafate
23
1
0
07 Mar 2022
A Novel Generator with Auxiliary Branch for Improving GAN Performance
A Novel Generator with Auxiliary Branch for Improving GAN Performance
Seung-won Park
Y. Shin
24
7
0
30 Dec 2021
Manifold Learning Benefits GANs
Manifold Learning Benefits GANs
Yao Ni
Piotr Koniusz
Richard I. Hartley
Richard Nock
GAN
31
16
0
23 Dec 2021
Generative Convolution Layer for Image Generation
Generative Convolution Layer for Image Generation
Seung-won Park
Y. Shin
18
11
0
30 Nov 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial
  Networks
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara
Tristan Aumentado-Armstrong
Allan D. Jepson
Alex Levinshtein
GAN
40
5
0
04 Nov 2021
Understanding Entropic Regularization in GANs
Understanding Entropic Regularization in GANs
Daria Reshetova
Yikun Bai
Xiugang Wu
Ayfer Özgür
8
7
0
02 Nov 2021
Training Wasserstein GANs without gradient penalties
Training Wasserstein GANs without gradient penalties
Dohyun Kwon
Yeoneung Kim
Guido Montúfar
Insoon Yang
GAN
13
4
0
27 Oct 2021
LR-to-HR Face Hallucination with an Adversarial Progressive
  Attribute-Induced Network
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network
N. Balachandran
Jun-Cheng Chen
Rama Chellappa
SupR
CVBM
20
0
0
29 Sep 2021
Rethinking Multidimensional Discriminator Output for Generative
  Adversarial Networks
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks
M. Dai
Haibin Hang
A. Srivastava
18
3
0
08 Sep 2021
Gradient Normalization for Generative Adversarial Networks
Gradient Normalization for Generative Adversarial Networks
Yi-Lun Wu
Hong-Han Shuai
Zhi Rui Tam
H. Chiu
GAN
24
63
0
06 Sep 2021
Beyond Self-attention: External Attention using Two Linear Layers for
  Visual Tasks
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo
Zheng-Ning Liu
Tai-Jiang Mu
Shimin Hu
22
473
0
05 May 2021
Deepfake Detection Scheme Based on Vision Transformer and Distillation
Deepfake Detection Scheme Based on Vision Transformer and Distillation
Young-Jin Heo
Y. Choi
Young-Woon Lee
Byung-Gyu Kim
ViT
17
55
0
03 Apr 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
27
65
0
17 Mar 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO
  Approximations
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
H. Feng
Kezhi Kong
Minghao Chen
Tianye Zhang
Minfeng Zhu
Wei Chen
VLM
DRL
34
24
0
21 Nov 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
23
1
0
08 Jul 2020
Regularization Methods for Generative Adversarial Networks: An Overview
  of Recent Studies
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee
Junhee Seok
GAN
27
25
0
19 May 2020
BlackBox: Generalizable Reconstruction of Extremal Values from
  Incomplete Spatio-Temporal Data
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data
T. Ivek
Domagoj Vlah
43
4
0
30 Apr 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
32
152
0
11 Feb 2020
How Well Do WGANs Estimate the Wasserstein Metric?
How Well Do WGANs Estimate the Wasserstein Metric?
Anton Mallasto
Guido Montúfar
Augusto Gerolin
22
25
0
09 Oct 2019
Progressive Face Super-Resolution via Attention to Facial Landmark
Progressive Face Super-Resolution via Attention to Facial Landmark
Deok-Hun Kim
Minseon Kim
Gihyun Kwon
Daeshik Kim
SupR
CVBM
11
135
0
22 Aug 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
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
22
124
0
10 Apr 2019
2-Wasserstein Approximation via Restricted Convex Potentials with
  Application to Improved Training for GANs
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
33
42
0
19 Feb 2019
Semi-Supervised Sequence Modeling with Cross-View Training
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark
Minh-Thang Luong
Christopher D. Manning
Quoc V. Le
SSL
6
333
0
22 Sep 2018
Adversarial Sampling for Active Learning
Adversarial Sampling for Active Learning
Christoph Mayer
Radu Timofte
GAN
28
116
0
20 Aug 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GAN
MedIm
14
537
0
17 Jun 2018
Whitening and Coloring batch transform for GANs
Whitening and Coloring batch transform for GANs
Aliaksandr Siarohin
E. Sangineto
N. Sebe
22
49
0
01 Jun 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in
  Music
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts
Jesse Engel
Colin Raffel
Curtis Hawthorne
Douglas Eck
BDL
41
474
0
13 Mar 2018
Manifold-valued Image Generation with Wasserstein Generative Adversarial
  Nets
Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets
Zhiwu Huang
Jiqing Wu
Luc Van Gool
GAN
42
4
0
05 Dec 2017
Wasserstein Divergence for GANs
Wasserstein Divergence for GANs
Jiqing Wu
Zhiwu Huang
Janine Thoma
Dinesh Acharya
Luc Van Gool
31
138
0
04 Dec 2017
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
27
35
0
17 Nov 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
30
246
0
01 Sep 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
244
3,190
0
30 Oct 2016
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