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One of the challenges in the study of generative adversarial networks is the instability of its training.
The fréchet distance between multivariate normal distributions
DC Dowson and BV Landau · 1982
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Eigenvalue computation in the 20th century
Gene H Golub and Henk A Van der Vorst · 2000
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80 million tiny images: A large data set for nonparametric object and scene recognition
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Rectified linear units improve restricted boltzmann machines
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Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng · 2013
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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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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Adam: A method for stochastic optimization
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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Chainer: a next-generation open source framework for deep learning
Seiya Tokui, Kenta Oono, Shohei Hido, and Justin Clayton · 2015
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Normalization propagation: A parametric technique for removing internal covariate shift in deep networks
Devansh Arpit, Yingbo Zhou, Bhargava U Kota, and Venu Govindaraju · 2016
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Neural photo editing with introspective adversarial networks
Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon · 2016
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GANs trained by a two time-scale update rule converge to a nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, and Sepp Hochreiter · 2017
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Improving training of deep neural networks via singular value bounding
Kui Jia, Dacheng Tao, Shenghua Gao, and Xiangmin Xu · 2017
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Adversarial learning for neural dialogue generation
Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, and Dan Jurafsky · 2017
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Jae Hyun Lim and Jong Chul Ye · 2017
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Learning in implicit generative models
Shakir Mohamed and Balaji Lakshminarayanan · 2017
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f-GAN: Training generative neural samplers using variational divergence minimization
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Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Tim Salimans and Diederik P Kingma · 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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Generative adversarial nets from a density ratio estimation perspective
Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, and Yutaka Matsuo · 2016
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Towards principled methods for training generative adversarial networks
Martin Arjovsky and Léon Bottou · 2017
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Conditional image synthesis with auxiliary classifier GANs
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Loss-sensitive generative adversarial networks on lipschitz densities
Guo-Jun Qi · 2017
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Temporal generative adversarial nets with singular value clipping
Masaki Saito, Eiichi Matsumoto, and Shunta Saito · 2017
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Deep and hierarchical implicit models
Dustin Tran, Rajesh Ranganath, and David M Blei · 2017
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Improving generative adversarial networks with denoising feature matching
David Warde-Farley and Yoshua Bengio · 2017
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On the effect of batch normalization and weight normalization in generative adversarial networks
Sitao Xiang and Hao Li · 2017
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LR-GAN: Layered recursive generative adversarial networks for image generation
Jianwei Yang, Anitha Kannan, Dhruv Batra, and Devi Parikh · 2017
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Spectral norm regularization for improving the generalizability of deep learning
Yuichi Yoshida and Takeru Miyato · 2017
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cGANs with projection discriminator
Takeru Miyato and Masanori Koyama · 2018
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