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Gradient descent GAN optimization is locally stable

Gradient descent GAN optimization is locally stable

13 June 2017
Vaishnavh Nagarajan
J. Zico Kolter
    GAN
ArXivPDFHTML

Papers citing "Gradient descent GAN optimization is locally stable"

50 / 183 papers shown
Title
Amplifying The Uncanny
Amplifying The Uncanny
Terence Broad
F. Leymarie
M. Grierson
13
14
0
17 Feb 2020
Smoothness and Stability in GANs
Smoothness and Stability in GANs
Casey Chu
Kentaro Minami
Kenji Fukumizu
GAN
16
56
0
11 Feb 2020
Adversarial Code Learning for Image Generation
Adversarial Code Learning for Image Generation
Jiangbo Yuan
Bing Wu
Wanying Ding
Q. Ping
Zhendong Yu
GAN
18
0
0
30 Jan 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
Song Tao
Jia Wang
GAN
13
18
0
28 Dec 2019
Towards Better Understanding of Adaptive Gradient Algorithms in
  Generative Adversarial Nets
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
Mingrui Liu
Youssef Mroueh
Jerret Ross
Wei Zhang
Xiaodong Cui
Payel Das
Tianbao Yang
ODL
27
63
0
26 Dec 2019
Lower Dimensional Kernels for Video Discriminators
Lower Dimensional Kernels for Video Discriminators
Emmanuel Kahembwe
S. Ramamoorthy
8
49
0
18 Dec 2019
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
T. Pandeva
Matthias Schubert
GAN
9
18
0
15 Nov 2019
A Decentralized Proximal Point-type Method for Saddle Point Problems
A Decentralized Proximal Point-type Method for Saddle Point Problems
Weijie Liu
Aryan Mokhtari
Asuman Ozdaglar
S. Pattathil
Zebang Shen
Nenggan Zheng
57
30
0
31 Oct 2019
Investigating Under and Overfitting in Wasserstein Generative
  Adversarial Networks
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks
Ben Adlam
Charles Weill
Amol Kapoor
8
17
0
30 Oct 2019
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
17
71
0
29 Oct 2019
On the Global Optima of Kernelized Adversarial Representation Learning
On the Global Optima of Kernelized Adversarial Representation Learning
Bashir Sadeghi
Runyi Yu
Vishnu Naresh Boddeti
AAML
59
31
0
16 Oct 2019
SGD Learns One-Layer Networks in WGANs
SGD Learns One-Layer Networks in WGANs
Qi Lei
J. Lee
A. Dimakis
C. Daskalakis
GAN
11
35
0
15 Oct 2019
Understanding and Stabilizing GANs' Training Dynamics with Control
  Theory
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
GAN
41
10
0
29 Sep 2019
Bridging Explicit and Implicit Deep Generative Models via Neural Stein
  Estimators
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
Qitian Wu
Rui Gao
H. Zha
GAN
6
5
0
28 Sep 2019
On the Anomalous Generalization of GANs
On the Anomalous Generalization of GANs
Jinchen Xuan
Yunchang Yang
Ze Yang
Di He
Liwei Wang
17
3
0
27 Sep 2019
Unsupervised Domain Adaptation through Self-Supervision
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
OOD
SSL
17
236
0
26 Sep 2019
Convergence of Gradient Methods on Bilinear Zero-Sum Games
Convergence of Gradient Methods on Bilinear Zero-Sum Games
Guojun Zhang
Yaoliang Yu
9
37
0
15 Aug 2019
Adversarial Computation of Optimal Transport Maps
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie
Jennifer She
Amjad Almahairi
Sai Rajeswar
Aaron Courville
GAN
OT
8
21
0
24 Jun 2019
A Tight and Unified Analysis of Gradient-Based Methods for a Whole
  Spectrum of Games
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
Waïss Azizian
Ioannis Mitliagkas
Simon Lacoste-Julien
Gauthier Gidel
10
24
0
13 Jun 2019
A Closer Look at the Optimization Landscapes of Generative Adversarial
  Networks
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard
Gauthier Gidel
Amjad Almahairi
Pascal Vincent
Simon Lacoste-Julien
GAN
20
64
0
11 Jun 2019
Encoding Invariances in Deep Generative Models
Encoding Invariances in Deep Generative Models
Viraj Shah
Ameya Joshi
Sambuddha Ghosal
B. Pokuri
S. Sarkar
Baskar Ganapathysubramanian
C. Hegde
PINN
GAN
11
30
0
04 Jun 2019
Convergence of Learning Dynamics in Stackelberg Games
Convergence of Learning Dynamics in Stackelberg Games
Tanner Fiez
Benjamin J. Chasnov
Lillian J. Ratliff
6
92
0
04 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum
  Linear Quadratic Games
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
K. Zhang
Zhuoran Yang
Tamer Basar
13
125
0
31 May 2019
Strategic Prediction with Latent Aggregative Games
Strategic Prediction with Latent Aggregative Games
Vikas K. Garg
Tommi Jaakkola
9
0
0
29 May 2019
Scaleable input gradient regularization for adversarial robustness
Scaleable input gradient regularization for adversarial robustness
Chris Finlay
Adam M. Oberman
AAML
8
77
0
27 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
8
36
0
26 May 2019
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
A. Raghunathan
A. Cherian
Devesh K. Jha
10
21
0
15 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
29
79
0
13 May 2019
Mitigating Information Leakage in Image Representations: A Maximum
  Entropy Approach
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
P. Roy
Vishnu Naresh Boddeti
9
99
0
11 Apr 2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior
  Prediction via Adversarial Learning
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
Jiachen Li
Hengbo Ma
M. Tomizuka
14
56
0
04 Apr 2019
Machine Learning Solutions for High Energy Physics: Applications to
  Electromagnetic Shower Generation, Flavor Tagging, and the Search for
  di-Higgs Production
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
Michela Paganini
11
1
0
12 Mar 2019
Improving Generalization and Stability of Generative Adversarial
  Networks
Improving Generalization and Stability of Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
Svetha Venkatesh
GAN
AI4CE
11
16
0
11 Feb 2019
Nonparametric Density Estimation & Convergence Rates for GANs under
  Besov IPM Losses
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal
Shashank Singh
Barnabás Póczós
25
52
0
09 Feb 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin
Praneeth Netrapalli
Michael I. Jordan
8
82
0
02 Feb 2019
Kernel-Guided Training of Implicit Generative Models with Stability
  Guarantees
Kernel-Guided Training of Implicit Generative Models with Stability Guarantees
Arash Mehrjou
Wittawat Jitkrittum
Krikamol Muandet
Bernhard Schölkopf
GAN
11
4
0
26 Jan 2019
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in
  Zero-Sum Games
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar
Michael I. Jordan
S. Shankar Sastry
19
121
0
03 Jan 2019
On Computation and Generalization of GANs with Spectrum Control
On Computation and Generalization of GANs with Spectrum Control
Haoming Jiang
Zhehui Chen
Minshuo Chen
Feng Liu
Dingding Wang
T. Zhao
6
6
0
28 Dec 2018
Improving MMD-GAN Training with Repulsive Loss Function
Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang
Yuan Sun
Saman K. Halgamuge
GAN
9
79
0
24 Dec 2018
Generative Adversarial Network Training is a Continual Learning Problem
Generative Adversarial Network Training is a Continual Learning Problem
Kevin J Liang
Chunyuan Li
Guoyin Wang
Lawrence Carin
GAN
11
50
0
27 Nov 2018
MR-GAN: Manifold Regularized Generative Adversarial Networks
MR-GAN: Manifold Regularized Generative Adversarial Networks
Qunwei Li
B. Kailkhura
Rushil Anirudh
Yi Zhou
Yingbin Liang
P. Varshney
AI4CE
GAN
11
8
0
22 Nov 2018
Stable Opponent Shaping in Differentiable Games
Stable Opponent Shaping in Differentiable Games
Alistair Letcher
Jakob N. Foerster
David Balduzzi
Tim Rocktaschel
Shimon Whiteson
10
110
0
20 Nov 2018
Improving GAN with neighbors embedding and gradient matching
Improving GAN with neighbors embedding and gradient matching
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-man Cheung
GAN
19
16
0
04 Nov 2018
A Convex Duality Framework for GANs
A Convex Duality Framework for GANs
Farzan Farnia
David Tse
GAN
14
63
0
28 Oct 2018
Local Stability and Performance of Simple Gradient Penalty
  mu-Wasserstein GAN
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN
Cheolhyeong Kim
Seungtae Park
H. Hwang
9
1
0
05 Oct 2018
The Inductive Bias of Restricted f-GANs
The Inductive Bias of Restricted f-GANs
Shuang Liu
Kamalika Chaudhuri
GAN
17
18
0
12 Sep 2018
Global Convergence to the Equilibrium of GANs using Variational
  Inequalities
Global Convergence to the Equilibrium of GANs using Variational Inequalities
I. Gemp
Sridhar Mahadevan
14
50
0
04 Aug 2018
Negative Momentum for Improved Game Dynamics
Negative Momentum for Improved Game Dynamics
Gauthier Gidel
Reyhane Askari Hemmat
Mohammad Pezeshki
Rémi Le Priol
Gabriel Huang
Simon Lacoste-Julien
Ioannis Mitliagkas
AI4CE
14
178
0
12 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial
  Networks
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
11
58
0
11 Jul 2018
The Limit Points of (Optimistic) Gradient Descent in Min-Max
  Optimization
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
C. Daskalakis
Ioannis Panageas
6
253
0
11 Jul 2018
Towards a Better Understanding and Regularization of GAN Training
  Dynamics
Towards a Better Understanding and Regularization of GAN Training Dynamics
Weili Nie
Ankit B. Patel
GAN
AI4CE
11
4
0
24 Jun 2018
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