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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"

39 / 39 papers shown
Title
NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
45
0
0
04 Oct 2024
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Siddarth Asokan
C. Seelamantula
GAN
69
1
0
12 May 2023
Distribution Fitting for Combating Mode Collapse in Generative
  Adversarial Networks
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
Yanxiang Gong
Zhiwei Xie
Guozhen Duan
Z. Ma
M. Xie
GAN
OffRL
27
3
0
03 Dec 2022
A Realism Metric for Generated LiDAR Point Clouds
A Realism Metric for Generated LiDAR Point Clouds
Larissa T. Triess
Christoph B. Rist
David Peter
J. Marius Zöllner
3DPC
32
8
0
31 Aug 2022
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
37
4
0
20 May 2022
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
K. Mangalam
Rohin Garg
GAN
34
13
0
29 Dec 2021
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
34
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
27
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
21
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
32
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
24
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
38
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
30
4
0
24 Sep 2020
Private Post-GAN Boosting
Private Post-GAN Boosting
Marcel Neunhoeffer
Zhiwei Steven Wu
Cynthia Dwork
116
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
47
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
818
0
20 Jan 2020
Poincaré Recurrence, Cycles and Spurious Equilibria in
  Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
22
41
0
28 Oct 2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Petru Soviany
Claudiu Ardei
Radu Tudor Ionescu
Marius Leordeanu
GAN
19
47
0
20 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
84
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
33
80
0
14 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
25
11
0
11 Aug 2019
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised
  Cross-View Person Re-identification
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification
Chengyuan Zhang
Lei Zhu
Shichao Zhang
GAN
25
31
0
05 Jun 2019
Deconstructing Generative Adversarial Networks
Deconstructing Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
David Tse
34
49
0
27 Jan 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
27
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
27
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
36
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
25
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
MEGAN: Mixture of Experts of Generative Adversarial Networks for
  Multimodal Image Generation
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
D. Park
Seungjoo Yoo
Hyojin Bahng
Jaegul Choo
Noseong Park
GAN
14
24
0
07 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
27
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
15
303
0
12 Mar 2018
Robust GANs against Dishonest Adversaries
Robust GANs against Dishonest Adversaries
Zhi Xu
Chengtao Li
Stefanie Jegelka
AAML
34
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
Aurelien Lucchi
A. Amara
R. Sgier
J. Fluri
Thomas Hofmann
Alexandre Réfrégier
GAN
AI4CE
21
89
0
27 Jan 2018
SGAN: An Alternative Training of Generative Adversarial Networks
SGAN: An Alternative Training of Generative Adversarial Networks
Tatjana Chavdarova
F. Fleuret
GAN
38
57
0
06 Dec 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
57
2,973
0
19 Oct 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
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
22
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
23
170
0
27 Feb 2017
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