Softmax GAN

Quick training of probabilistic neural nets by importance sampling

Yoshua Bengio et al · 2003

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Adaptive importance sampling to accelerate training of a neural probabilistic language model

Yoshua Bengio and Jean-Sébastien Senécal · 2008

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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

Michael Gutmann and Aapo Hyvärinen · 2010

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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

Earlier work this paper cites.

On distinguishability criteria for estimating generative models

Original

Ian J Goodfellow · 2014

Earlier work this paper cites.

Unsupervised representation learning with deep convolutional generative adversarial networks

Original

Alec Radford, Luke Metz, and Soumith Chintala · 2015

Cited alongside, same era.

Exploring the limits of language modeling

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Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu · 2016

Cited alongside, same era.

Least squares generative adversarial networks

Original

Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, and Zhen Wang · 2016

Cited alongside, same era.

f-gan: Training generative neural samplers using variational divergence minimization

Sebastian Nowozin, Botond Cseke, and Ryota Tomioka · 2016

Cited alongside, same era.

Improved techniques for training gans

Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016

Later among the works it cites.

Wasserstein gan

Original

Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017

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Loss-sensitive generative adversarial networks on lipschitz densities

Original

Guo-Jun Qi · 2017

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On word embeddings - part 2: Approximating the softmax

Sebastian Ruder · 2017

Closest in time.