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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

25 / 3,025 papers shown

Title
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary Masataro Asai A. Fukunaga 191 173 0 29 Apr 2017
Differentiable Scheduled Sampling for Credit Assignment Kartik Goyal Chris Dyer Taylor Berg-Kirkpatrick 92 40 0 23 Apr 2017
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics Phong Le Ivan Titov 31 3 0 14 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 109 361 0 10 Apr 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction Chunting Zhou Graham Neubig DRL BDL 87 55 0 06 Apr 2017
Learning Approximately Objective Priors Eric T. Nalisnick Padhraic Smyth 51 11 0 04 Apr 2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments Colin Raffel Minh-Thang Luong Peter J. Liu Ron J. Weiss Douglas Eck 114 261 0 03 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 122 28 0 03 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 249 9,604 0 31 Mar 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Rakshith Shetty Bernt Schiele Mario Fritz 149 229 0 30 Mar 2017
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Rakshith Shetty Marcus Rohrbach Lisa Anne Hendricks Mario Fritz Bernt Schiele 89 144 0 30 Mar 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 287 282 0 21 Mar 2017
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 234 586 0 19 Mar 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations Igor Mordatch Pieter Abbeel LLMAG 188 705 0 15 Mar 2017
Semi-parametric Network Structure Discovery Models Amir Dezfouli Edwin V. Bonilla Richard Nock 28 1 0 27 Feb 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 112 170 0 27 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 138 389 0 27 Feb 2017
Coarse Grained Exponential Variational Autoencoders Ke Sun Xiangliang Zhang DRL BDL 30 0 0 25 Feb 2017
Memory Augmented Neural Networks with Wormhole Connections Çağlar Gülçehre A. Chandar Yoshua Bengio 102 63 0 30 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 198 1,730 0 31 Dec 2016
Piecewise Latent Variables for Neural Variational Text Processing Iulian Serban Alexander Ororbia Joelle Pineau Aaron Courville DRL BDL 85 2 0 01 Dec 2016
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution Matt J. Kusner José Miguel Hernández-Lobato GAN 137 328 0 12 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 230 2,544 0 02 Nov 2016
Inverting Variational Autoencoders for Improved Generative Accuracy I. Gemp Ishan Durugkar M. Parente M. Dyar Sridhar Mahadevan DRL GAN 44 3 0 21 Aug 2016
High Dimensional Inference with Random Maximum A-Posteriori Perturbations Tamir Hazan Francesco Orabona Anand D. Sarwate Subhransu Maji Tommi Jaakkola 78 7 0 10 Feb 2016