Fetching the paper…
Reading the bibliography…
Uncertainty estimates of modern neuronal networks provide additional information next to the computed predictions and are thus expected to improve the understanding of the underlying model.
A Practical Bayesian Framework for Backpropagation Networks
David J C MacKay · 1992
Earlier work this paper cites.
Bayesian learning for neural networks
Radford M Neal · 2012
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Weight uncertainty in neural network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015
Earlier work this paper cites.
Alex Kendall, Vijay Badrinarayanan, and Roberto Cipolla · 2015
Earlier work this paper cites.
Uncertainty in Deep Learning
Yarin Gal · 2016
Earlier work this paper cites.
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Yarin Gal and Zoubin Ghahramani · 2016
Cited alongside, same era.
Black-box α \alpha -divergence minimization
JM Hernández-Lobato, Y Li, M Rowland, D Hernández-Lobato, TD Bui, and RE Ttarner · 2016
Cited alongside, same era.
Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
Raphael Meier, Urspeter Knecht, Tina Loosli, Stefan Bauer, Johannes Slotboom, Roland Wiest, and Mauricio Reyes · 2016
Cited alongside, same era.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q Weinberger · 2017
Cited alongside, same era.
The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation
Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, and Yoshua Bengio · 2017
Cited alongside, same era.
Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
Later among the works it cites.
Implicit weight uncertainty in neural networks
Nick Pawlowski, Martin Rajchl, and Ben Glocker · 2017
Later among the works it cites.
Deep Learning in Medical Image Analysis
Dinggang Shen, Guorong Wu, and Heung-Il Suk · 2017
Later among the works it cites.
Bayesian image quality transfer with cnns: Exploring uncertainty in dmri super-resolution
Ryutaro Tanno, Daniel E Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N Sotiropoulos, Antonio Criminisi, and Daniel C Alexander · 2017
Later among the works it cites.
Hierarchical implicit models and likelihood-free variational inference
Dustin Tran, Rajesh Ranganath, and David Blei · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alex Kendall and Yarin Gal · 2017
Cited alongside, same era.