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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Title
Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture Yuheng Wang Juan Ye D. Borchers 25 1 0 24 Aug 2023
Single-shot Bayesian approximation for neural networks K. Brach Beate Sick Oliver Durr BDL UQCV 58 0 0 24 Aug 2023
Low-rank extended Kalman filtering for online learning of neural networks from streaming data Peter Chang Gerardo Duran-Martín Alexander Y. Shestopaloff Matt Jones Kevin P. Murphy BDL 175 20 0 31 May 2023
Massively Scaling Heteroscedastic Classifiers Mark Collier Rodolphe Jenatton Basil Mustafa N. Houlsby Jesse Berent E. Kokiopoulou 114 10 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 87 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 135 110 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 310 61 0 01 May 2022
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies Shaltiel Eloul Fran Silavong Sanket Kamthe Antonios Georgiadis Sean J. Moran FedML 56 7 0 26 Apr 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 254 35 0 20 Oct 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 179 65 0 01 Jul 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 132 198 0 22 Feb 2021
Uncertainty Propagation in Convolutional Neural Networks: Technical Report Christos Tzelepis Ioannis Patras UQCV 39 2 0 11 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 407 478 0 17 Jun 2020
Fast and Robust Rank Aggregation against Model Misspecification Yuangang Pan Weijie Chen Gang Niu Ivor W. Tsang Masashi Sugiyama 69 3 0 29 May 2019
The variational Laplace approach to approximate Bayesian inference J. Daunizeau BDL 89 20 0 02 Mar 2017