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
Data Cleansing for GANs Naoyuki Terashita Hiroki Ohashi Satoshi Hara AAML 56 0 0 01 Apr 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 35 0 0 20 Jan 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 49 20 0 31 Dec 2024
Control of Overfitting with Physics Sergei V. Kozyrev Ilya A Lopatin Alexander N Pechen AI4CE 79 0 0 14 Dec 2024
Inverse Delayed Reinforcement Learning S. Zhan Qingyuan Wu Zhian Ruan Frank Yang Philip Wang Yixuan Wang Ruochen Jiao Chao Huang Qi Zhu 65 0 0 04 Dec 2024
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension Yoshitaka Koike Takumi Nakagawa Hiroki Waida Takafumi Kanamori DiffM 25 0 0 28 Oct 2024
Generative Artificial Intelligence: A Systematic Review and Applications S. S. Sengar Affan Bin Hasan Sanjay Kumar Fiona Carroll MedIm 28 51 0 17 May 2024
HILCodec: High Fidelity and Lightweight Neural Audio Codec S. Ahn Beom Jun Woo Mingrui Han Chanyeong Moon Nam Soo Kim 21 6 0 08 May 2024
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets Xiaoyu Huang Yufeng Chi Ruofeng Wang Zhongyu Li Xue Bin Peng Sophia Shao Borivoje Nikolic K. Sreenath OffRL 75 26 0 30 Apr 2024
On the nonconvexity of some push-forward constraints and its consequences in machine learning Lucas de Lara Mathis Deronzier Alberto González Sanz Virgile Foy 13 0 0 12 Mar 2024
Backdoor Attack with Mode Mixture Latent Modification Hongwei Zhang Xiaoyin Xu Dongsheng An Xianfeng Gu Min Zhang AAML 13 0 0 12 Mar 2024
Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network Zhao Ding Chenguang Duan Yuling Jiao Jerry Zhijian Yang 25 1 0 09 Jan 2024
On Unsupervised Image-to-image translation and GAN stability BahaaEddin AlAila Zahra Jandaghi Abolfazl Farahani M. Al-Saad GAN 17 1 0 18 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks Jaemoo Choi Jaewoong Choi Myungjoo Kang OT 23 4 0 04 Oct 2023
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices Guillaume Wang Lénaïc Chizat 16 0 0 26 May 2023
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 19 1 0 14 May 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models N. Kuo Louisa R Jorm S. Barbieri DiffM 26 12 0 22 Mar 2023
On a continuous time model of gradient descent dynamics and instability in deep learning Mihaela Rosca Yan Wu Chongli Qin Benoit Dherin 16 6 0 03 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 41 39 0 01 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 17 2 0 31 Jan 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer Yuhta Takida Masaaki Imaizumi Takashi Shibuya Chieh-Hsin Lai Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji GAN 18 11 0 30 Jan 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 16 7 0 22 Dec 2022
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 60 4 0 05 Dec 2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning Zirui Wang Shaoming Duan Chengyue Wu Wenhao Lin Xin-Xiang Zha Peiyi Han Chuanyi Liu MedIm 13 4 0 02 Dec 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 19 8 0 07 Nov 2022
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator Zifan Shi Yinghao Xu Yujun Shen Deli Zhao Qifeng Chen Dit-Yan Yeung 84 20 0 30 Sep 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 53 30 0 27 Sep 2022
Dual-Scale Single Image Dehazing Via Neural Augmentation Zhengguo Li Chaobing Zheng Haiyan Shu Shiqian Wu 41 47 0 13 Sep 2022
Dynamics of Fourier Modes in Torus Generative Adversarial Networks Ángel González-Prieto Alberto Mozo Edgar Talavera Sandra Gómez Canaval GAN 11 6 0 05 Sep 2022
Instability and Local Minima in GAN Training with Kernel Discriminators Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 27 8 0 21 Aug 2022
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata Tatjana Chavdarova Ya-Ping Hsieh Michael I. Jordan 13 2 0 14 Jul 2022
Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization S. Du Gauthier Gidel Michael I. Jordan C. J. Li 34 7 0 17 Jun 2022
Single-level Adversarial Data Synthesis based on Neural Tangent Kernels Yu-Rong Zhang Ruei-Yang Su Sheng-Yen Chou Shan Wu GAN 15 2 0 08 Apr 2022
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes Sixin Zhang GAN 8 0 0 14 Mar 2022
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule Naoki Sato Hideaki Iiduka EGVM 18 4 0 28 Jan 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity Junchi Yang Antonio Orvieto Aurélien Lucchi Niao He 22 61 0 10 Dec 2021
The Geometric Occam's Razor Implicit in Deep Learning Benoit Dherin Micheal Munn David Barrett 20 6 0 30 Nov 2021
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 Deep Learning for Online Resource Allocation Bingqian Du Zhiyi Huang Chuan Wu AAML 12 6 0 19 Nov 2021
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System K. Yeo Zan Li Wesley M. Gifford SyDa GAN AI4TS AI4CE 17 4 0 04 Nov 2021
Improving the quality of generative models through Smirnov transformation Ángel González-Prieto Alberto Mozo Sandra Gómez Canaval Edgar Talavera 11 9 0 29 Oct 2021
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization Ziyi Chen Zhengyang Hu Qunwei Li Zhe Wang Yi Zhou 34 7 0 14 Oct 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Naresh Boddeti 29 5 0 12 Sep 2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks Alberto Mozo Ángel González-Prieto Antonio Agustin Pastor Perales Sandra Gómez Canaval Edgar Talavera 19 23 0 30 Jul 2021
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 38 13 0 08 Jul 2021
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers Patrick R. Johnstone Jonathan Eckstein Thomas Flynn Shinjae Yoo 12 2 0 24 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 29 26 0 10 Jun 2021
Minimax Optimization with Smooth Algorithmic Adversaries Tanner Fiez Chi Jin Praneeth Netrapalli Lillian J. Ratliff AAML 14 11 0 02 Jun 2021
Discretization Drift in Two-Player Games Mihaela Rosca Yan Wu Benoit Dherin David Barrett 11 10 0 28 May 2021
Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control Youhei Akimoto Yoshiki Miyauchi A. Maki 9 16 0 25 May 2021