Being Bayesian about Categorical Probability

19 February 2020

Papers citing "Being Bayesian about Categorical Probability"

12 / 12 papers shown

Title
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 106 2 0 24 Feb 2025
Subjective Logic Encodings Jake Vasilakes Chrysoula Zerva Sophia Ananiadou 71 0 0 17 Feb 2025
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 91 1,931 0 06 Jun 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 58 801 0 07 Feb 2019
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 133 907 0 28 Feb 2018
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 30 594 0 13 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 385 10,281 0 16 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 142 2,543 0 07 Oct 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 218 10,149 0 16 Mar 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 135 882 0 06 Nov 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 105 1,500 0 08 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 74 18,534 0 06 Feb 2015