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Exciting new work on the generalization bounds for neural networks (NN) given by Neyshabur et al.
Praktische verfahren der gleichungsauflösung
R. V. Mises and H. Pollaczek-Geiringer · 1929
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The approximation of one matrix by another of lower rank
Carl Eckart and Gale Young · 1936
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An extremum property of sums of eigenvalues
Helmut Wielandt · 1955
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Symmetric gauge functions and unitarily invariant norms
Leon Mirsky · 1960
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Sampling from large matrices
Mark Rudelson and Roman Vershynin · 2007
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Neural network learning: Theoretical foundations
Martin Anthony and Peter L Bartlett · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 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
Diederik P Kingma and Jimmy Ba · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Norm-based capacity control in neural networks
Behnam Neyshabur, Ryota Tomioka, and Nathan Srebro · 2015
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Neural photo editing with introspective adversarial networks
Andrew Brock, Theodore Lim, J. 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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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Wide residual networks
Sergey Zagoruyko and Nikos Komodakis · 2016
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Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals · 2016
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Wasserstein gan
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Do gans actually learn the distribution? an empirical study
Sanjeev Arora and Yi Zhang · 2017
Spectral norm regularization for improving the generalizability of deep learning
Yuichi Yoshida and Takeru Miyato · 2017
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Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora, Rong Ge, Behnam Neyshabur, and Yi Zhang · 2018
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Regularisation of neural networks by enforcing lipschitz continuity
Henry Gouk, Eibe Frank, Bernhard Pfahringer, and Michael Cree · 2018
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On convergence and stability of GANs, 2018
Naveen Kodali, James Hays, Jacob Abernethy, and Zsolt Kira · 2018
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cgans with projection discriminator
Takeru Miyato and Masanori Koyama · 2018
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Cited alongside, same era.
Spectrally-normalized margin bounds for neural networks
Peter L Bartlett, Dylan J Foster, and Matus J Telgarsky · 2017
Cited alongside, same era.
Parseval networks: Improving robustness to adversarial examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, and Nicolas Usunier · 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 Courville · 2017
Cited alongside, same era.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Cited alongside, same era.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger · 2017
Cited alongside, same era.
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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A PAC-bayesian approach to spectrally-normalized margin bounds for neural networks
Behnam Neyshabur, Srinadh Bhojanapalli, and Nathan Srebro · 2018
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Sensitivity and generalization in neural networks: an empirical study
Roman Novak, Yasaman Bahri, Daniel A Abolafia, Jeffrey Pennington, and Jascha Sohl-Dickstein · 2018
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On the regularization of wasserstein GANs
Henning Petzka, Asja Fischer, and Denis Lukovnikov · 2018
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Searching for activation functions, 2018
Prajit Ramachandran, Barret Zoph, and Quoc V. Le · 2018
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2018
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Towards GAN benchmarks which require generalization
Ishaan Gulrajani, Colin Raffel, and Luke Metz · 2019
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Deterministic PAC-bayesian generalization bounds for deep networks via generalizing noise-resilience
Vaishnavh Nagarajan and Zico Kolter · 2019
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