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AdaGAN: Boosting Generative Models

AdaGAN: Boosting Generative Models

9 January 2017
Ilya O. Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
    GAN
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Papers citing "AdaGAN: Boosting Generative Models"

28 / 28 papers shown
Title
NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
40
0
0
04 Oct 2024
Revisiting GANs by Best-Response Constraint: Perspective, Methodology,
  and Application
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
29
4
0
20 May 2022
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
26
12
0
26 Nov 2021
Adversarial sampling of unknown and high-dimensional conditional
  distributions
Adversarial sampling of unknown and high-dimensional conditional distributions
M. Hassanaly
Andrew Glaws
Karen Stengel
Ryan N. King
GAN
13
21
0
08 Nov 2021
Training Wasserstein GANs without gradient penalties
Training Wasserstein GANs without gradient penalties
Dohyun Kwon
Yeoneung Kim
Guido Montúfar
Insoon Yang
GAN
11
4
0
27 Oct 2021
Quantifying point cloud realism through adversarially learned latent
  representations
Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess
David Peter
Stefan A. Baur
J. Marius Zöllner
3DPC
21
2
0
24 Sep 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples
  in Pedestrian Trajectory Prediction
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer
Sven Elflein
Laura Leal-Taixé
19
91
0
20 Aug 2021
Influence Estimation for Generative Adversarial Networks
Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita
Hiroki Ohashi
Yuichi Nonaka
T. Kanemaru
TDI
28
12
0
20 Jan 2021
GANs with Variational Entropy Regularizers: Applications in Mitigating
  the Mode-Collapse Issue
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
Pirazh Khorramshahi
Hossein Souri
Ramalingam Chellappa
S. Feizi
GAN
DRL
28
4
0
24 Sep 2020
Private Post-GAN Boosting
Private Post-GAN Boosting
Marcel Neunhoeffer
Zhiwei Steven Wu
Cynthia Dwork
114
29
0
23 Jul 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on
  Facial Data Augmentation and Snapchat Selfie Lenses
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses
Niharika Jain
Alberto Olmo Hernandez
Sailik Sengupta
L. Manikonda
S. Kambhampati
39
38
0
26 Jan 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
817
0
20 Jan 2020
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
19
83
0
30 Sep 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
30
80
0
14 Aug 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
19
36
0
24 Jan 2019
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
19
181
0
09 Nov 2018
Towards Distributed Coevolutionary GANs
Towards Distributed Coevolutionary GANs
Abdullah Al-Dujaili
Tom Schmiedlechner
Erik Hemberg
Una-May O’Reilly
GAN
15
41
0
21 Jul 2018
Boosting Black Box Variational Inference
Boosting Black Box Variational Inference
Francesco Locatello
Gideon Dresdner
Rajiv Khanna
Isabel Valera
Gunnar Rätsch
6
31
0
06 Jun 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
18
69
0
19 May 2018
Fictitious GAN: Training GANs with Historical Models
Fictitious GAN: Training GANs with Historical Models
Hao Ge
Yin Xia
Xu Chen
R. Berry
Ying Nian Wu
AI4CE
GAN
19
29
0
23 Mar 2018
Style Aggregated Network for Facial Landmark Detection
Style Aggregated Network for Facial Landmark Detection
Xuanyi Dong
Yan Yan
Wanli Ouyang
Yi Yang
CVBM
3DH
13
303
0
12 Mar 2018
Robust GANs against Dishonest Adversaries
Robust GANs against Dishonest Adversaries
Zhi Xu
Chengtao Li
Stefanie Jegelka
AAML
32
3
0
27 Feb 2018
Fast cosmic web simulations with generative adversarial networks
Fast cosmic web simulations with generative adversarial networks
Andrés C. Rodríguez
T. Kacprzak
Aurélien Lucchi
A. Amara
R. Sgier
J. Fluri
Thomas Hofmann
Alexandre Réfrégier
GAN
AI4CE
14
89
0
27 Jan 2018
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
25
2,971
0
19 Oct 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
B. Hitaj
Paolo Gasti
G. Ateniese
F. Pérez-Cruz
GAN
25
246
0
01 Sep 2017
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
11
65
0
08 Aug 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
13
170
0
27 Feb 2017
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