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, AC Courville Advances in neural information processing systems, 5767-5777	2017
NIPS 2016 tutorial: Generative adversarial networks I Goodfellow arXiv preprint arXiv:1701.00160	2016
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh arXiv preprint arXiv:1611.00712	2016
Multi-agent actor-critic for mixed cooperative-competitive environments R Lowe, YI Wu, A Tamar, J Harb, OAIP Abbeel, I Mordatch Advances in neural information processing systems, 6379-6390	2017
Neural discrete representation learning A Van Den Oord, O Vinyals Advances in Neural Information Processing Systems, 6306-6315	2017
Style transfer from non-parallel text by cross-alignment T Shen, T Lei, R Barzilay, T Jaakkola Advances in neural information processing systems, 6830-6841	2017
Emergence of grounded compositional language in multi-agent populations I Mordatch, P Abbeel Thirty-Second AAAI Conference on Artificial Intelligence	2018
Learning Sparse Neural Networks through $ L_0 $ Regularization C Louizos, M Welling, DP Kingma arXiv preprint arXiv:1712.01312	2017
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 Conference on Computer Vision and Pattern …	2019
MaskGAN: Better text generation via filling in the_ W Fedus, I Goodfellow, AM Dai arXiv preprint arXiv:1801.07736	2018
Improved variational autoencoders for text modeling using dilated convolutions Z Yang, Z Hu, R Salakhutdinov, T Berg-Kirkpatrick arXiv preprint arXiv:1702.08139	2017
Adversarial example defense: Ensembles of weak defenses are not strong W He, J Wei, X Chen, N Carlini, D Song 11th {USENIX} Workshop on Offensive Technologies ({WOOT} 17)	2017
Concrete dropout Y Gal, J Hron, A Kendall Advances in neural information processing systems, 3581-3590	2017
Adversarial feature matching for text generation Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin arXiv preprint arXiv:1706.03850	2017
Graphvae: Towards generation of small graphs using variational autoencoders M Simonovsky, N Komodakis International Conference on Artificial Neural Networks, 412-422	2018
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel arXiv preprint arXiv:1802.04687	2018
MolGAN: An implicit generative model for small molecular graphs N De Cao, T Kipf arXiv preprint arXiv:1805.11973	2018
Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models G Tucker, A Mnih, CJ Maddison, J Lawson, J Sohl-Dickstein Advances in Neural Information Processing Systems, 2627-2636	2017
Learning disentangled representations with semi-supervised deep generative models N Siddharth, B Paige, JW Van de Meent, A Desmaison, N Goodman, ... Advances in Neural Information Processing Systems, 5925-5935	2017
Stochastic neural networks for hierarchical reinforcement learning C Florensa, Y Duan, P Abbeel arXiv preprint arXiv:1704.03012	2017

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