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PacGAN: The power of two samples in generative adversarial networks

PacGAN: The power of two samples in generative adversarial networks

12 December 2017
Zinan Lin
A. Khetan
Giulia Fanti
Sewoong Oh
    GAN
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Papers citing "PacGAN: The power of two samples in generative adversarial networks"

32 / 32 papers shown
Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
45
0
0
08 May 2025
A Comprehensive Survey of Synthetic Tabular Data Generation
A Comprehensive Survey of Synthetic Tabular Data Generation
Ruxue Shi
Yili Wang
Mengnan Du
Xu Shen
Xin Wang
39
2
0
23 Apr 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
Chen Gong
Kecen Li
Zinan Lin
Tianhao Wang
47
3
0
18 Mar 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data?
Xiangjian Jiang
Nikola Simidjievski
M. Jamnik
LMTD
75
0
0
13 Mar 2025
LUCID-GAN: Conditional Generative Models to Locate Unfairness
LUCID-GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba
Carmen Mazijn
Carina E. A. Prunkl
J. Danckaert
Vincent Ginis
SyDa
27
1
0
28 Jul 2023
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
37
6
0
25 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples
ComGAN: Toward GANs Exploiting Multiple Samples
Hae-Hwan Lee
GAN
18
0
0
24 Apr 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy
  Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial
  Networks
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks
Forough Fazeli Asl
M. Zhang
Lizhen Lin
24
1
0
05 Mar 2023
Summary Statistic Privacy in Data Sharing
Summary Statistic Privacy in Data Sharing
Zinan Lin
Shuaiqi Wang
Vyas Sekar
Giulia Fanti
33
7
0
03 Mar 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and
  reduced complexity
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
Vincent Souveton
Arnaud Guillin
J. Jasche
G. Lavaux
Manon Michel
16
3
0
03 Feb 2023
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
A. Schwing
GAN
15
16
0
27 Nov 2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation
Autoregressive GAN for Semantic Unconditional Head Motion Generation
Louis Airale
Xavier Alameda-Pineda
Stéphane Lathuilière
Dominique Vaufreydaz
17
3
0
02 Nov 2022
On the Privacy Properties of GAN-generated Samples
On the Privacy Properties of GAN-generated Samples
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
11
26
0
03 Jun 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
16
7
0
31 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao
A. Kunar
Robert Birke
L. Chen
17
77
0
01 Apr 2022
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft
  Detection in Smart Grid
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid
Yogesh Kulkarni
Sayf Hussain Z
K. Ramamritham
Nivethitha Somu
9
5
0
09 Oct 2021
Instance-Conditioned GAN
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
199
132
0
10 Sep 2021
Creating synthetic night-time visible-light meteorological satellite
  images using the GAN method
Creating synthetic night-time visible-light meteorological satellite images using the GAN method
Wencong Cheng
GAN
11
4
0
21 Jul 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
17
21
0
24 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
118
197
0
16 Feb 2021
Adversarial score matching and improved sampling for image generation
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau
Remi Piche-Taillefer
Rémi Tachet des Combes
Ioannis Mitliagkas
DiffM
24
124
0
11 Sep 2020
Synthesizing Property & Casualty Ratemaking Datasets using Generative
  Adversarial Networks
Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks
Marie-Pier Côté
Brian Hartman
Olivier Mercier
Joshua Meyers
Jared Cummings
Elijah Harmon
GAN
SyDa
18
8
0
13 Aug 2020
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
22
107
0
18 Jun 2020
On Positive-Unlabeled Classification in GAN
On Positive-Unlabeled Classification in GAN
Tianyu Guo
Chang Xu
Jiajun Huang
Yunhe Wang
Boxin Shi
Chao Xu
Dacheng Tao
GAN
6
35
0
04 Feb 2020
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
19
61
0
09 Oct 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Mingming Gong
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
16
33
0
05 Jul 2019
Nonparametric Density Estimation & Convergence Rates for GANs under
  Besov IPM Losses
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal
Shashank Singh
Barnabás Póczós
17
52
0
09 Feb 2019
GDPP: Learning Diverse Generations Using Determinantal Point Process
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki
Camille Couprie
M. Rivière
Mohamed Elhoseiny
13
64
0
30 Nov 2018
Robustness of Conditional GANs to Noisy Labels
Robustness of Conditional GANs to Noisy Labels
Kerry J. Halupka
A. Khetan
Zinan Lin
Stephen Moore
NoLa
16
79
0
08 Nov 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
12
69
0
19 May 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
17
77
0
12 Apr 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
10
1,247
0
12 Jan 2018
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