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1706.03269
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An Online Learning Approach to Generative Adversarial Networks
International Conference on Learning Representations (ICLR), 2017
10 June 2017
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
Andreas Krause
GAN
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Papers citing
"An Online Learning Approach to Generative Adversarial Networks"
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Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
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Nested Annealed Training Scheme for Generative Adversarial Networks
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A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
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Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games
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Competitive Gradient Optimization
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170
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Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
International Conference on Learning Representations (ICLR), 2022
Chao Ma
Lexing Ying
MLT
155
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15 Feb 2022
Randomized Stochastic Gradient Descent Ascent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Othmane Sebbouh
Marco Cuturi
Gabriel Peyré
856
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Game of GANs: Game-Theoretical Models for Generative Adversarial Networks
Artificial Intelligence Review (AIR), 2021
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Alireza Daei Javad
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365
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Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
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Haoming Jiang
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Pengcheng He
Jianfeng Gao
Weizhu Chen
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237
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11 Apr 2021
Generative Minimization Networks: Training GANs Without Competition
Paulina Grnarova
Yannic Kilcher
Kfir Y. Levy
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124
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Direct-Search for a Class of Stochastic Min-Max Problems
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
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261
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Regret minimization in stochastic non-convex learning via a proximal-gradient approach
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P. Mertikopoulos
Volkan Cevher
170
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13 Oct 2020
Assisting the Adversary to Improve GAN Training
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Andreas Munk
William Harvey
Frank Wood
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222
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03 Oct 2020
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Kwot Sin Lee
Ngoc-Trung Tran
Ngai-Man Cheung
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430
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Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Blair Bilodeau
Dylan J. Foster
Daniel M. Roy
150
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Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
ACM Computing Surveys (ACM CSUR), 2020
Divya Saxena
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30 Apr 2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
International Conference on Machine Learning (ICML), 2020
Julien Perolat
Rémi Munos
Jean-Baptiste Lespiau
Shayegan Omidshafiei
Mark Rowland
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Bart De Vylder
Georgios Piliouras
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K. Tuyls
231
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Follow the Neurally-Perturbed Leader for Adversarial Training
Ari Azarafrooz
181
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A mean-field analysis of two-player zero-sum games
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Carles Domingo-Enrich
Samy Jelassi
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Joan Bruna
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272
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14 Feb 2020
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
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David Balduzzi
Wojciech M. Czarnecki
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Yoram Bachrach
244
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Smoothness and Stability in GANs
International Conference on Learning Representations (ICLR), 2020
Casey Chu
Kentaro Minami
Kenji Fukumizu
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163
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11 Feb 2020
Near-Optimal Algorithms for Minimax Optimization
Annual Conference Computational Learning Theory (COLT), 2020
Tianyi Lin
Chi Jin
Sai Li
727
270
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05 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
298
1,015
0
20 Jan 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
International Conference on Learning Representations (ICLR), 2019
Mingrui Liu
Youssef Mroueh
Jerret Ross
Wei Zhang
Xiaodong Cui
Payel Das
Tianbao Yang
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274
66
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26 Dec 2019
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
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209
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Stabilizing Generative Adversarial Networks: A Survey
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Stefano V. Albrecht
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304
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CMB-GAN: Fast Simulations of Cosmic Microwave background anisotropy maps using Deep Learning
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P. Reddy
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225
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11 Aug 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
International Conference on Machine Learning (ICML), 2019
Tianyi Lin
Chi Jin
Sai Li
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557
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02 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Neural Information Processing Systems (NeurIPS), 2019
Jianchao Tan
Zhuoran Yang
Tamer Basar
328
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31 May 2019
Competitive Gradient Descent
Neural Information Processing Systems (NeurIPS), 2019
Florian Schäfer
Anima Anandkumar
210
111
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Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
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182
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Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
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Peilin Zhong
Yuchen Mo
Chang Xiao
Pengyu Chen
Changxi Zheng
408
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13 Feb 2019
Synthetic Data Generators: Sequential and Private
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272
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What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
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Praneeth Netrapalli
Sai Li
468
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Self-Supervised GANs via Auxiliary Rotation Loss
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Xiaohua Zhai
Marvin Ritter
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245
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A domain agnostic measure for monitoring and evaluating GANs
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Kfir Y. Levy
Aurelien Lucchi
Nathanael Perraudin
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Thomas Hofmann
Andreas Krause
EGVM
242
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13 Nov 2018
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLL
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217
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27 Oct 2018
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
312
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23 Oct 2018
Skill Rating for Generative Models
Catherine Olsson
Surya Bhupatiraju
Tom B. Brown
Augustus Odena
Ian Goodfellow
146
35
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Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
257
43
0
18 Jun 2018
Fictitious GAN: Training GANs with Historical Models
Hao Ge
Yin Xia
Xu Chen
R. Berry
Ying Nian Wu
AI4CE
GAN
216
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23 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
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P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
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395
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03 Mar 2018
A Variational Inequality Perspective on Generative Adversarial Networks
International Conference on Learning Representations (ICLR), 2018
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Hugo Berard
Gaëtan Vignoud
Pascal Vincent
Damien Scieur
GAN
462
387
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28 Feb 2018
Fast cosmic web simulations with generative adversarial networks
Andrés C. Rodríguez
T. Kacprzak
Aurelien Lucchi
A. Amara
R. Sgier
J. Fluri
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Alexandre Réfrégier
GAN
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346
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GANGs: Generative Adversarial Network Games
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Rahul Savani
Jose Gallego-Posada
Elise van der Pol
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GAN
237
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How Generative Adversarial Networks and Their Variants Work: An Overview
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Jaeyoon Yoo
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GAN
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On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li
Aleksander Madry
John Peebles
Ludwig Schmidt
214
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
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Hubert Ramsauer
Thomas Unterthiner
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Sepp Hochreiter
407
486
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26 Jun 2017
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