Bayesian Inference for Large Scale Image Classification

Bayesian Inference for Large Scale Image Classification

9 August 2019

Nal Kalchbrenner

Papers citing "Bayesian Inference for Large Scale Image Classification"

12 / 12 papers shown

Title
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls Stephan Thaler Gregor Doehner Julija Zavadlav 40 21 0 15 Dec 2022
On the optimization and pruning for Bayesian deep learning X. Ke Yanan Fan BDL UQCV 35 1 0 24 Oct 2022
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data Charlie Kirkwood T. Economou H. Odbert N. Pugeault 15 0 0 25 Jan 2022
Quantifying Uncertainty in Deep Spatiotemporal Forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu AI4TS 13 68 0 25 May 2021
The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober C. Rasmussen Mark van der Wilk UQCV BDL 21 107 0 24 Feb 2021
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu FedML 30 27 0 12 Feb 2021
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 25 58 0 19 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 33 314 0 15 Feb 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 32 27 0 25 Jan 2020
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan Ö. Arik Zizhao Zhang Tomas Pfister FedML 23 39 0 03 Dec 2019
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 37 159 0 21 Oct 2016
MCMC using Hamiltonian dynamics Radford M. Neal 187 3,267 0 09 Jun 2012