Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections

Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections

30 May 2019

Papers citing "Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections"

9 / 9 papers shown

Title
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders R. Y. Rohekar Shami Nisimov Yaniv Gurwicz Gal Novik CML 25 10 0 01 Jun 2023
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 42 1,877 0 12 Nov 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 17 10 0 24 Oct 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy M. Kalra Sasa Grbic D. Comaniciu UQCV EDL 23 55 0 08 Jul 2020
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan Ö. Arik Zizhao Zhang Tomas Pfister FedML 21 39 0 03 Dec 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation Hermann Blum Paul-Edouard Sarlin Juan I. Nieto Roland Siegwart César Cadena UQCV 9 156 0 05 Apr 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015