Gradient descent GAN optimization is locally stable

13 June 2017

J. Zico Kolter

Papers citing "Gradient descent GAN optimization is locally stable"

33 / 183 papers shown

Title
The Unusual Effectiveness of Averaging in GAN Training Yasin Yazici Chuan-Sheng Foo Stefan Winkler Kim-Hui Yap Georgios Piliouras V. Chandrasekhar 11 173 0 12 Jun 2018
Disconnected Manifold Learning for Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal Maneesh Kumar Singh GAN 14 76 0 03 Jun 2018
Collaborative Learning for Deep Neural Networks Guocong Song Wei Chai FedML 13 192 0 30 May 2018
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning Jihun Hamm Yung-Kyun Noh 11 9 0 29 May 2018
Nonparametric Density Estimation under Adversarial Losses Shashank Singh Ananya Uppal Boyue Li Chun-Liang Li Manzil Zaheer Barnabás Póczós GAN 12 55 0 22 May 2018
A Solvable High-Dimensional Model of GAN Chuang Wang Hong Hu Yue M. Lu 16 16 0 22 May 2018
BourGAN: Generative Networks with Metric Embeddings Chang Xiao Peilin Zhong Changxi Zheng GAN 18 69 0 19 May 2018
Local Saddle Point Optimization: A Curvature Exploitation Approach Leonard Adolphs Hadi Daneshmand Aurélien Lucchi Thomas Hofmann 15 107 0 15 May 2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization Yanshuai Cao G. Ding Kry Yik-Chau Lui Ruitong Huang GAN 16 19 0 09 May 2018
Generative Adversarial Networks (GANs): What it can generate and What it cannot? P Manisha Sujit Gujar GAN 21 0 0 31 Mar 2018
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
Evolutionary Generative Adversarial Networks Chaoyue Wang Chang Xu Xin Yao Dacheng Tao GAN 46 282 0 01 Mar 2018
A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel Hugo Berard Gaëtan Vignoud Pascal Vincent Simon Lacoste-Julien GAN 16 349 0 28 Feb 2018
Minimax Distribution Estimation in Wasserstein Distance Shashank Singh Barnabás Póczós 19 0 0 24 Feb 2018
Is Generator Conditioning Causally Related to GAN Performance? Augustus Odena Jacob Buckman Catherine Olsson Tom B. Brown C. Olah Colin Raffel Ian Goodfellow AI4CE 24 112 0 23 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn J. Lee GAN 22 137 0 22 Feb 2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang J. Stokes 27 211 0 16 Feb 2018
The Mechanics of n-Player Differentiable Games David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel MLT 16 273 0 15 Feb 2018
First Order Generative Adversarial Networks Calvin Seward Thomas Unterthiner Urs M. Bergmann Nikolay Jetchev Sepp Hochreiter GAN 35 8 0 13 Feb 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN Xu Chen Jiang Wang Hao Ge GAN 29 14 0 06 Feb 2018
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity S. Du Wei Hu 53 120 0 05 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 30 1,452 0 13 Jan 2018
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 20 331 0 12 Dec 2017
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples Jihun Hamm Akshay Mehra AAML 19 7 0 12 Nov 2017
Understanding GANs: the LQG Setting S. Feizi Changho Suh F. Xia David Tse 32 63 0 30 Oct 2017
PassGAN: A Deep Learning Approach for Password Guessing B. Hitaj Paolo Gasti G. Ateniese F. Pérez-Cruz GAN 25 246 0 01 Sep 2017
Adversarial Variational Optimization of Non-Differentiable Simulators Gilles Louppe Joeri Hermans Kyle Cranmer GAN 31 66 0 22 Jul 2017
Capturing the diversity of biological tuning curves using generative adversarial networks Takafumi Arakaki G. Barello Yashar Ahmadian GAN 11 8 0 14 Jul 2017
On the Limitations of First-Order Approximation in GAN Dynamics Jerry Li A. Madry John Peebles Ludwig Schmidt 9 55 0 29 Jun 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium M. Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter 30 461 0 26 Jun 2017
An Online Learning Approach to Generative Adversarial Networks Paulina Grnarova Kfir Y. Levy Aurélien Lucchi Thomas Hofmann Andreas Krause GAN 10 89 0 10 Jun 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 19 349 0 23 Jan 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 168 1,940 0 24 Oct 2016