Using Synthetic Data to Train Neural Networks is Model-Based Reasoning

Using Synthetic Data to Train Neural Networks is Model-Based Reasoning

2 March 2017

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Papers citing "Using Synthetic Data to Train Neural Networks is Model-Based Reasoning"

17 / 17 papers shown

Title
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 194 143 0 31 Oct 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 165 158 0 20 May 2016
Synthetic Data for Text Localisation in Natural Images Ankush Gupta Andrea Vedaldi Andrew Zisserman 150 1,430 0 22 Apr 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 165 9 0 22 Feb 2016
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 101 409 0 19 Nov 2015
DeepFont: Identify Your Font from An Image Zhangyang Wang Jianchao Yang Hailin Jin Eli Shechtman A. Agarwala Jonathan Brandt Thomas S. Huang VLM 53 123 0 12 Jul 2015
A New Approach to Probabilistic Programming Inference Frank Wood Jan-Willem van de Meent Vikash K. Mansinghka 59 347 0 03 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 140 5,590 0 07 Dec 2014
Reading Text in the Wild with Convolutional Neural Networks Max Jaderberg Karen Simonyan Andrea Vedaldi Andrew Zisserman 112 1,166 0 04 Dec 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 249 6,035 0 17 Nov 2014
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition Max Jaderberg Karen Simonyan Andrea Vedaldi Andrew Zisserman 157 935 0 09 Jun 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 277 14,961 1 21 Dec 2013
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks Ian Goodfellow Yaroslav Bulatov Julian Ibarz Sacha Arnoud Vinay D. Shet 113 720 0 20 Dec 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka Tejas D. Kulkarni Yura N. Perov J. Tenenbaum 183 108 0 29 Jun 2013
Philosophy and the practice of Bayesian statistics Andrew Gelman C. Shalizi 94 639 0 19 Jun 2010
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error Richard D. Wilkinson 110 275 0 20 Nov 2008