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Fisher GAN

Fisher GAN

26 May 2017
Youssef Mroueh
Tom Sercu
    GAN
    AI4CE
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Papers citing "Fisher GAN"

29 / 29 papers shown
Title
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CE
EGVM
13
1
0
02 Nov 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
25
16
0
27 Nov 2022
Minimum Kernel Discrepancy Estimators
Minimum Kernel Discrepancy Estimators
Chris J. Oates
30
10
0
28 Oct 2022
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text
  Adversarial Attacks
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks
Mohammad Esmaeilpour
Nourhene Chaalia
P. Cardinal
AAML
16
1
0
14 Jul 2022
Learning with Stochastic Orders
Learning with Stochastic Orders
Carles Domingo-Enrich
Yair Schiff
Youssef Mroueh
41
2
0
27 May 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular
  Data Synthesis
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
GAN
22
2
0
24 May 2022
Bi-Discriminator Class-Conditional Tabular GAN
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
18
12
0
12 Nov 2021
Realizing GANs via a Tunable Loss Function
Realizing GANs via a Tunable Loss Function
Gowtham R. Kurri
Tyler Sypherd
Lalitha Sankar
GAN
11
15
0
09 Jun 2021
Training Generative Adversarial Networks in One Stage
Training Generative Adversarial Networks in One Stage
Chengchao Shen
Youtan Yin
Xinchao Wang
Xubin Li
Mingli Song
Xiuming Zhang
GAN
23
14
0
28 Feb 2021
Towards Generalized Implementation of Wasserstein Distance in GANs
Towards Generalized Implementation of Wasserstein Distance in GANs
Minkai Xu
Zhiming Zhou
Guansong Lu
Jian Tang
Weinan Zhang
Yong Yu
21
1
0
07 Dec 2020
Complexity Controlled Generative Adversarial Networks
Complexity Controlled Generative Adversarial Networks
Himanshu Pant
Jayadeva Jayadeva
Sumit Soman
GAN
22
1
0
20 Nov 2020
Teaching a GAN What Not to Learn
Teaching a GAN What Not to Learn
Siddarth Asokan
C. Seelamantula
GAN
11
19
0
29 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
18
45
0
04 Oct 2020
Reciprocal Adversarial Learning via Characteristic Functions
Reciprocal Adversarial Learning via Characteristic Functions
Shengxi Li
Zeyang Yu
Min Xiang
Danilo P. Mandic
GAN
29
13
0
15 Jun 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
818
0
20 Jan 2020
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
38
72
0
29 Oct 2019
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
10
40
0
22 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
83
0
30 Sep 2019
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
131
100
0
28 Sep 2019
Learning Implicit Generative Models by Matching Perceptual Features
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos
Youssef Mroueh
Inkit Padhi
Pierre L. Dognin
GAN
25
28
0
04 Apr 2019
Task2Vec: Task Embedding for Meta-Learning
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille
Michael Lam
Rahul Tewari
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
SSL
22
309
0
10 Feb 2019
Deep Generative Learning via Variational Gradient Flow
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
24
36
0
24 Jan 2019
Stein Neural Sampler
Stein Neural Sampler
Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
SyDa
GAN
22
34
0
08 Oct 2018
Global Convergence to the Equilibrium of GANs using Variational
  Inequalities
Global Convergence to the Equilibrium of GANs using Variational Inequalities
I. Gemp
Sridhar Mahadevan
25
50
0
04 Aug 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
43
1,450
0
04 Jan 2018
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At
  Every Step
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
26
208
0
23 Oct 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRL
GAN
38
70
0
06 Sep 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
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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