Semi-analytical approximations to statistical moments of sigmoid and
softmax mappings of normal variables

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Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables

1 March 2017

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Papers citing "Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables"

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Massively Scaling Heteroscedastic Classifiers Mark Collier Rodolphe Jenatton Basil Mustafa N. Houlsby Jesse Berent E. Kokiopoulou 76 9 0 30 Jan 2023
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing Georgios Rizos J. Lawson Simon Mitchell Pranay Shah Xin Wen Cristina Banks‐Leite R. Ewers Bjoern W. Schuller UQCV 41 2 0 19 Oct 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 72 99 0 03 Jun 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 228 51 0 01 May 2022
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 95 61 0 01 Jul 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 97 187 0 22 Feb 2021
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 284 452 0 17 Jun 2020
The variational Laplace approach to approximate Bayesian inference J. Daunizeau BDL 57 19 0 02 Mar 2017