Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

23 October 2017

W. Fedus

Mihaela Rosca

Balaji Lakshminarayanan

Papers citing "Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step"

27 / 27 papers shown

Title
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 38 0 0 20 Jan 2025
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models Shailendra Bhandari P. Lencastre Pedro G. Lind GAN 16 0 0 01 Aug 2024
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 24 4 0 01 Jun 2023
GLeaD: Improving GANs with A Generator-Leading Task Qingyan Bai Ceyuan Yang Yinghao Xu Xihui Liu Yujiu Yang Yujun Shen GAN 20 9 0 07 Dec 2022
Improving GAN Equilibrium by Raising Spatial Awareness Jianyuan Wang Ceyuan Yang Yinghao Xu Yujun Shen Hongdong Li Bolei Zhou GAN 23 30 0 01 Dec 2021
The Geometric Occam's Razor Implicit in Deep Learning Benoit Dherin Micheal Munn David Barrett 22 6 0 30 Nov 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 24 31 0 27 Oct 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber A. Gretton S. Mohamed AAML 25 48 0 14 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
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 25 43 0 21 Feb 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 21 56 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 27 83 0 30 Sep 2019
Spectral Regularization for Combating Mode Collapse in GANs Kanglin Liu Wenming Tang Fei Zhou Guoping Qiu GAN DRL 27 81 0 29 Aug 2019
Time Series Simulation by Conditional Generative Adversarial Net Rao Fu Jie Chen Shutian Zeng Yiping Zhuang Agus Sudjianto AI4TS OOD GAN 22 47 0 25 Apr 2019
Collaborative Sampling in Generative Adversarial Networks Yuejiang Liu Parth Kothari Alexandre Alahi TTA 26 16 0 02 Feb 2019
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
A Large-Scale Study on Regularization and Normalization in GANs Karol Kurach Mario Lucic Xiaohua Zhai Marcin Michalski Sylvain Gelly AI4CE 22 154 0 12 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks Hoang Thanh-Tung T. Tran GAN 13 58 0 11 Jul 2018
On GANs and GMMs Eitan Richardson Yair Weiss GAN 20 149 0 31 May 2018
Sobolev Descent Youssef Mroueh Tom Sercu Anant Raj OT 16 1 0 30 May 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training Duhyeon Bang Hyunjung Shim GAN 22 77 0 12 Apr 2018
First Order Generative Adversarial Networks Calvin Seward Thomas Unterthiner Urs M. Bergmann Nikolay Jetchev Sepp Hochreiter GAN 35 8 0 13 Feb 2018
Improved Training of Generative Adversarial Networks Using Representative Features Duhyeon Bang Hyunjung Shim GAN 30 33 0 28 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel A. Gretton EGVM 43 1,449 0 04 Jan 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016