Prior choice affects ability of Bayesian neural networks to identify unknowns

11 May 2020

Papers citing "Prior choice affects ability of Bayesian neural networks to identify unknowns"

8 / 8 papers shown

Title
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu Su Feng Boris Glavic Babak Salimi 42 0 0 28 May 2024
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models Christian Harder Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay 35 0 0 25 Oct 2023
Variational Model Perturbation for Source-Free Domain Adaptation Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 39 25 0 19 Oct 2022
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 38 124 0 14 May 2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values Dai Feng Lili Zhao 28 32 0 07 Jan 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015