Gradient descent GAN optimization is locally stable

13 June 2017

J. Zico Kolter

Papers citing "Gradient descent GAN optimization is locally stable"

50 / 183 papers shown

Title
Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion Kensuke Nakamura Simon Korman Byung-Woo Hong DiffM 19 2 0 01 May 2021
Statistical inference for generative adversarial networks and other minimax problems Mika Meitz GAN 29 5 0 21 Apr 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi N. Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi S. Feizi AI4CE 12 21 0 12 Apr 2021
Generalization of GANs and overparameterized models under Lipschitz continuity Khoat Than Nghia D. Vu AI4CE 15 2 0 06 Apr 2021
Saddle Point Optimization with Approximate Minimization Oracle Youhei Akimoto 6 7 0 29 Mar 2021
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation Shaoxiong Feng Xuancheng Ren Kan Li Xu Sun 8 11 0 22 Feb 2021
Follow-the-Regularized-Leader Routes to Chaos in Routing Games J. Bielawski Thiparat Chotibut Fryderyk Falniowski Grzegorz Kosiorowski M. Misiurewicz Georgios Piliouras AI4CE 14 26 0 16 Feb 2021
Functional Space Analysis of Local GAN Convergence Valentin Khrulkov Artem Babenko Ivan V. Oseledets 26 6 0 08 Feb 2021
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues Ricard Durall Avraam Chatzimichailidis P. Labus J. Keuper GAN 17 57 0 17 Dec 2020
Towards Generalized Implementation of Wasserstein Distance in GANs Minkai Xu Zhiming Zhou Guansong Lu Jian Tang Weinan Zhang Yong Yu 16 1 0 07 Dec 2020
Adaptive Weighted Discriminator for Training Generative Adversarial Networks Vasily Zadorozhnyy Q. Cheng Q. Ye GAN 31 10 0 05 Dec 2020
Convergence and Sample Complexity of SGD in GANs Vasilis Kontonis Sihan Liu Christos Tzamos 16 3 0 01 Dec 2020
Towards a Better Global Loss Landscape of GANs Ruoyu Sun Tiantian Fang A. Schwing GAN 22 26 0 10 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 21 25 0 04 Nov 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations Chongli Qin Yan Wu Jost Tobias Springenberg Andrew Brock Jeff Donahue Timothy Lillicrap Pushmeet Kohli GAN 22 28 0 28 Oct 2020
LEAD: Min-Max Optimization from a Physical Perspective Reyhane Askari Hemmat Amartya Mitra Guillaume Lajoie Ioannis Mitliagkas 31 0 0 26 Oct 2020
Train simultaneously, generalize better: Stability of gradient-based minimax learners Farzan Farnia Asuman Ozdaglar 15 47 0 23 Oct 2020
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems Benjamin Grimmer Haihao Lu Pratik Worah Vahab Mirrokni 26 7 0 20 Oct 2020
Statistical guarantees for generative models without domination Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 57 34 0 19 Oct 2020
Non-saturating GAN training as divergence minimization Matt Shannon Ben Poole Soroosh Mariooryad Tom Bagby Eric Battenberg David Kao Daisy Stanton RJ Skerry-Ryan GAN 12 17 0 15 Oct 2020
Assisting the Adversary to Improve GAN Training Andreas Munk William Harvey Frank D. Wood GAN 17 0 0 03 Oct 2020
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation Tanner Fiez Lillian J. Ratliff 12 16 0 30 Sep 2020
Implicit Gradient Regularization David Barrett Benoit Dherin 14 146 0 23 Sep 2020
Properties of f-divergences and f-GAN training Matt Shannon AI4CE 6 4 0 02 Sep 2020
Accelerated WGAN update strategy with loss change rate balancing Ouyang Xu G. Agam 8 0 0 28 Aug 2020
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network Shiming Chen Wenjie Wang Beihao Xia Xinge You Zehong Cao Weiping Ding GAN 13 33 0 21 Aug 2020
A Systematic Survey of Regularization and Normalization in GANs Ziqiang Li Muhammad Usman Rentuo Tao Pengfei Xia Xintian Wu Huanhuan Chen Bin Li 22 49 0 19 Aug 2020
Annealing Genetic GAN for Minority Oversampling Jingyu Hao Chengjia Wang Heye Zhang Guang Yang GAN 15 14 0 05 Aug 2020
Newton-type Methods for Minimax Optimization Guojun Zhang Kaiwen Wu Pascal Poupart Yaoliang Yu 14 24 0 25 Jun 2020
ContraGAN: Contrastive Learning for Conditional Image Generation Minguk Kang Jaesik Park GAN 17 2 0 23 Jun 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 13 1 0 22 Jun 2020
Online Kernel based Generative Adversarial Networks Yeojoon Youn Neil Thistlethwaite Sang Keun Choe Jacob D. Abernethy GAN 11 2 0 19 Jun 2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models Farzan Farnia William Wang Subhro Das Ali Jadbabaie GAN 13 7 0 18 Jun 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 27 81 0 16 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 11 142 0 12 Jun 2020
Generative Adversarial Networks for Bitcoin Data Augmentation Francesco Zola Jan L. Bruse Xabier Etxeberria Barrio M. Galar Raul Orduna Urrutia GAN 6 8 0 27 May 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 21 25 0 19 May 2020
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture Dehao Liu Yan Wang 14 71 0 01 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 13 286 0 30 Apr 2020
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery Yue Shi Liangxiu Han Wenjiang Huang Sheng Chang Yingying Dong Darren Dancey Lianghao Han 6 1 0 19 Apr 2020
Towards GANs' Approximation Ability Xuejiao Liu Yao Xu Xueshuang Xiang 8 1 0 10 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 34 259 0 09 Apr 2020
FusedProp: Towards Efficient Training of Generative Adversarial Networks Zachary Polizzi Chuan-Yung Tsai GAN 14 1 0 30 Mar 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos 15 67 0 23 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou A. Gretton DRL 17 78 0 10 Mar 2020
Making Method of Moments Great Again? -- How can GANs learn distributions Yuanzhi Li Zehao Dou GAN 6 5 0 09 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 174 42 0 06 Mar 2020
When Relation Networks meet GANs: Relation GANs with Triplet Loss Runmin Wu Kunyao Zhang Lijun Wang Yue Wang Pingping Zhang Huchuan Lu Yizhou Yu GAN 8 0 0 24 Feb 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 20 43 0 21 Feb 2020
The Benefits of Pairwise Discriminators for Adversarial Training Shangyuan Tong T. Garipov Tommi Jaakkola 11 0 0 20 Feb 2020