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The instability of Generative Adversarial Network (GAN) training has frequently been attributed to gradient descent.
The extragradient method for finding saddle points and other problems
GM Korpelevich · 1976
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Fast exact multiplication by the hessian
Barak A Pearlmutter · 1994
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Nash convergence of gradient dynamics in general-sum games
Satinder P Singh, Michael J Kearns, and Yishay Mansour · 2000
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederick P Kingma and Jimmy Ba · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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On the characterization of local nash equilibria in continuous games
Lillian J Ratliff, Samuel A Burden, and S Shankar Sastry · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Towards principled methods for training generative adversarial networks
Martin Arjovsky and Léon Bottou · 2017
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A learned representation for artistic style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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The numerics of gans
Lars Mescheder, Sebastian Nowozin, and Andreas Geiger · 2017
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Gradient descent gan optimization is locally stable
Vaishnavh Nagarajan and J Zico Kolter · 2017
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Reducing noise in gan training with variance reduced extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret, and Simon Lacoste-Julien · 2019
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The deepfake detection challenge (dfdc) preview dataset
Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, and Cristian Canton Ferrer · 2019
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Convergence of learning dynamics in stackelberg games
Tanner Fiez, Benjamin Chasnov, and Lillian J Ratliff · 2019
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Achieving robustness in the wild via adversarial mixing with disentangled representations
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Large scale GAN training for high fidelity natural image synthesis
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Neural ordinary differential equations
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Global Convergence to the Equilibrium of GANs using Variational Inequalities
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Which training methods for gans do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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A style-based generator architecture for generative adversarial networks
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A solvable high-dimensional model of gan
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Quantum generative adversarial networks for learning and loading random distributions
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Corneel Casert, Kyle Mills, Tom Vieijra, Jan Ryckebusch, and Isaac Tamblyn · 2020
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Adversarial lipschitz regularization
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