A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications

3 November 2021

Papers citing "A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications"

21 / 71 papers shown

Title
Structured Uncertainty Prediction Networks Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson UQCV 66 63 0 20 Feb 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye Hossein Azizpour Kevin Smith BDL UQCV 147 241 0 18 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 432 13,132 0 07 Feb 2018
Noisy Natural Gradient as Variational Inference Guodong Zhang Shengyang Sun David Duvenaud Roger C. Grosse ODL 67 212 0 06 Dec 2017
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning Rui Luo Jianhong Wang Yaodong Yang Zhanxing Zhu Jun Wang 62 13 0 30 Nov 2017
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 151 345 0 06 Sep 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 91 2,928 0 26 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 591 0 22 May 2017
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution Ryutaro Tanno Daniel E. Worrall Aurobrata Ghosh Enrico Kaden S. Sotiropoulos A. Criminisi Daniel C. Alexander UQCV DiffM MedIm SupR 74 152 0 01 May 2017
A Siamese Deep Forest Lev V. Utkin M. Ryabinin 90 67 0 27 Apr 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 52 597 0 13 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 352 4,705 0 15 Mar 2017
Deep Forest Zhi Zhou Ji Feng 99 1,010 0 28 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 831 5,811 0 05 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 357 7,504 0 02 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,798 0 02 Nov 2015
Modelling Uncertainty in Deep Learning for Camera Relocalization Alex Kendall R. Cipolla BDL 45 540 0 19 Sep 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 220 1,511 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 818 9,306 0 06 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 310 4,179 0 21 May 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 106 910 0 17 Feb 2014