Categorical Reparameterization with Gumbel-Softmax.

Articles citing Categorical Reparameterization with Gumbel-Softmax.

Title / Author	Year
Improved training of wasserstein gans I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, A Courville arXiv preprint arXiv:1704.00028	2017
Nips 2016 tutorial: Generative adversarial networks I Goodfellow arXiv preprint arXiv:1701.00160	2016
Multi-agent actor-critic for mixed cooperative-competitive environments R Lowe, Y Wu, A Tamar, J Harb, P Abbeel, I Mordatch arXiv preprint arXiv:1706.02275	2017
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh arXiv preprint arXiv:1611.00712	2016
Virtual adversarial training: a regularization method for supervised and semi-supervised learning T Miyato, S Maeda, M Koyama, S Ishii IEEE transactions on pattern analysis and machine intelligence 41 (8), 1979-1993	2018
Neural architecture search: A survey T Elsken, JH Metzen, F Hutter The Journal of Machine Learning Research 20 (1), 1997-2017	2019
Neural discrete representation learning A Oord, O Vinyals, K Kavukcuoglu arXiv preprint arXiv:1711.00937	2017
Mixmatch: A holistic approach to semi-supervised learning D Berthelot, N Carlini, I Goodfellow, N Papernot, A Oliver, C Raffel arXiv preprint arXiv:1905.02249	2019
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2019
Style transfer from non-parallel text by cross-alignment T Shen, T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1705.09655	2017
Learning sparse neural networks through $ L_0 $ regularization C Louizos, M Welling, DP Kingma arXiv preprint arXiv:1712.01312	2017
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics. S Levine, P Abbeel NIPS 27, 1071-1079	2014
An introduction to variational autoencoders DP Kingma, M Welling arXiv preprint arXiv:1906.02691	2019
Emergence of grounded compositional language in multi-agent populations I Mordatch, P Abbeel Thirty-second AAAI conference on artificial intelligence	2018
MolGAN: An implicit generative model for small molecular graphs N De Cao, T Kipf arXiv preprint arXiv:1805.11973	2018
Maskgan: better text generation via filling in the_ W Fedus, I Goodfellow, AM Dai arXiv preprint arXiv:1801.07736	2018
Graphvae: Towards generation of small graphs using variational autoencoders M Simonovsky, N Komodakis International conference on artificial neural networks, 412-422	2018
Concrete dropout Y Gal, J Hron, A Kendall arXiv preprint arXiv:1705.07832	2017
Overcoming catastrophic forgetting by incremental moment matching SW Lee, JH Kim, J Jun, JW Ha, BT Zhang arXiv preprint arXiv:1703.08475	2017
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel International Conference on Machine Learning, 2688-2697	2018

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