Bayesian GAN

Robust real-time face detection

Viola, P. and Jones, M. J. (2004) · 2004

Earlier work this paper cites.

Modern multidimensional scaling: Theory and applications

Borg, I. and Groenen, P. J. (2005) · 2005

Earlier work this paper cites.

Cifar-10 (Canadian institute for advanced research)

Krizhevsky, A., Nair, V., and Hinton, G. (2010) · 2010

Earlier work this paper cites.

Auto-encoding variational Bayes

Original

Kingma, D. P. and Welling, M. (2013) · 2013

Earlier work this paper cites.

Stochastic gradient Hamiltonian Monte Carlo

Chen, T., Fox, E., and Guestrin, C. (2014) · 2014

Cited alongside, same era.

Generative adversarial nets

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014

Cited alongside, same era.

Unsupervised representation learning with deep convolutional generative adversarial networks

Original

Radford, A., Metz, L., and Chintala, S. (2015) · 2015

Cited alongside, same era.

Adversarial message passing for graphical models

Original

Karaletsos, T. (2016) · 2016

Cited alongside, same era.

Deep kernel learning

Wilson, A. G., Hu, Z., Salakhutdinov, R., and Xing, E. P. (2016a)

Cited in the paper.

Stochastic variational deep kernel learning

Wilson, A. G., Hu, Z., Salakhutdinov, R. R., and Xing, E. P. (2016b)

Cited in the paper.

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

Nowozin, S., Cseke, B., and Tomioka, R. (2016) · 2016

Later among the works it cites.

Improved techniques for training gans

Original

Salimans, T., Goodfellow, I. J., Zaremba, W., Cheung, V., Radford, A., and Chen, X. (2016) · 2016

Later among the works it cites.

Wasserstein GAN

Original

Arjovsky, M., Chintala, S., and Bottou, L. (2017) · 2017

Closest in time.

Deep and hierarchical implicit models

Original

Tran, D., Ranganath, R., and Blei, D. M. (2017) · 2017

Closest in time.