Neural Joint Source-Channel Coding

19 November 2018

Papers citing "Neural Joint Source-Channel Coding"

41 / 41 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 321 10,591 0 17 Feb 2020
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 37 53 0 26 Dec 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 288 2,661 0 20 Aug 2018
Deepcode: Feedback Codes via Deep Learning Hyeji Kim Yihan Jiang Sreeram Kannan Sewoong Oh Pramod Viswanath 43 142 0 02 Jul 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models Shengjia Zhao Jiaming Song Stefano Ermon DRL GAN 33 20 0 18 Jun 2018
Theory and Experiments on Vector Quantized Autoencoders Aurko Roy Ashish Vaswani Arvind Neelakantan Niki Parmar 62 87 0 28 May 2018
Communication Algorithms via Deep Learning Hyeji Kim Yihan Jiang Ranvir Rana Sreeram Kannan Sewoong Oh Pramod Viswanath 37 216 0 23 May 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 42 82 0 23 May 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 106 32 0 05 Apr 2018
Deep Learning for Joint Source-Channel Coding of Text Nariman Farsad Milind Rao Andrea J. Goldsmith 51 348 0 19 Feb 2018
Discrete Autoencoders for Sequence Models Lukasz Kaiser Samy Bengio BDL 57 50 0 29 Jan 2018
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 119 55 0 07 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 208 4,989 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 55 80 0 01 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 92 300 0 31 Oct 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 79 445 0 07 Jun 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 193 282 0 21 Mar 2017
Generative Compression Shibani Santurkar David Budden Nir Shavit VGen DiffM GAN 95 189 0 04 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 62 1,054 0 01 Mar 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 76 449 0 28 Feb 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 98 1,714 0 01 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 125 675 0 08 Nov 2016
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 77 1,705 0 05 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 281 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 157 2,529 0 02 Nov 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 162 416 0 11 Oct 2016
The Generalized Reparameterization Gradient Francisco J. R. Ruiz Michalis K. Titsias David M. Blei BDL 60 169 0 07 Oct 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 167 258 0 07 Sep 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 47 828 0 18 Aug 2016
Learning to Decode Linear Codes Using Deep Learning Eliya Nachmani Yair Be’ery D. Burshtein 122 459 0 16 Jul 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,232 0 12 Jun 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 139 289 0 22 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 69 671 0 19 Nov 2015
MuProp: Unbiased Backpropagation for Stochastic Neural Networks S. Gu Sergey Levine Ilya Sutskever A. Mnih BDL 49 143 0 16 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 250 1,245 0 01 Sep 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 133 392 0 17 Jun 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 252 6,887 0 12 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 153 729 0 31 Jan 2014
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 127 396 0 05 Jun 2013