Fetching the paper…
Reading the bibliography…
We propose a method to train generative adversarial networks on mutivariate feature vectors representing multiple categorical values.
Auto-Encoding Variational Bayes
Kingma, Diederik P. and Welling, Max · 2013
Earlier work this paper cites.
Generative Adversarial Nets
Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, Diederik P. and Ba, Jimmy · 2014
Earlier work this paper cites.
Management of an academic hpc cluster: The ul experience
Varrette, S., Bouvry, P., Cartiaux, H., and Georgatos, F · 2014
Earlier work this paper cites.
A note on the evaluation of generative models
Theis, Lucas, Oord, Aäron van den, and Bethge, Matthias · 2015
Earlier work this paper cites.
Categorical Reparameterization with Gumbel-Softmax
Jang, Eric, Gu, Shixiang, and Poole, Ben · 2016
Earlier work this paper cites.
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Kusner, Matt J. and Hernández-Lobato, José Miguel · 2016
Cited alongside, same era.
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Maddison, Chris J., Mnih, Andriy, and Teh, Yee Whye · 2016
Cited alongside, same era.
Arjovsky, Martin, Chintala, Soumith, and Bottou, Léon · 2017
Cited alongside, same era.
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Choi, Edward, Biswal, Siddharth, Malin, Bradley, Duke, Jon, Stewart, Walter F., and Sun, Jimeng · 2017
Cited alongside, same era.
UCI Machine Learning Repository
Dua, D. and Taniskidou, E. Karra · 2017
Adversarially Regularized Autoencoders
Junbo, Zhao, Kim, Yoon, Zhang, Kelly, Rush, Alexander M., and LeCun, Yann · 2017
Later among the works it cites.
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Kim, Taeksoo, Cha, Moonsu, Kim, Hyunsoo, Lee, Jung Kwon, and Kim, Jiwon · 2017
Later among the works it cites.
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Yu, Lantao, Zhang, Weinan, Wang, Jun, and Yu, Yong · 2017
Later among the works it cites.
Pros and Cons of GAN Evaluation Measures
Borji, Ali · 2018
Closest in time.
Which Training Methods for GANs do actually Converge?
Mescheder, Lars, Geiger, Andreas, and Nowozin, Sebastian · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Improved training of wasserstein gans
Gulrajani, Ishaan, Ahmed, Faruk, Arjovsky, Martin, Dumoulin, Vincent, and Courville, Aaron C · 2017
Cited alongside, same era.
Closest in time.