On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation

22 January 2020

Papers citing "On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation"

8 / 8 papers shown

Title
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision Laurent Valentin Jospin Hamid Laga F. Boussaïd Bennamoun 30 1 0 12 Sep 2022
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra Katiana Kontolati Natalie Klein N. Panda Diane Oyen 11 3 0 17 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 28 22 0 02 Aug 2021
Learning Prediction Intervals for Model Performance Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 19 10 0 15 Dec 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 31 277 0 24 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 86 271 0 24 Feb 2014