Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

1 August 2019

Nassir Navab

Papers citing "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

28 / 28 papers shown

Title
Delving into Differentially Private Transformer Youlong Ding Xueyang Wu Yining Meng Yonggang Luo Hao Wang Weike Pan 29 5 0 28 May 2024
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties D. Schodt Ryan Brown Michael Merritt Samuel Park Delsin Menolascino M. Peot BDL UQCV UD 16 1 0 22 Feb 2024
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 19 0 0 21 Nov 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 16 1 0 11 Aug 2023
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings N. Durasov Nik Dorndorf Pascal Fua VLM 16 5 0 21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 18 10 0 21 Nov 2022
Unsupervised confidence for LiDAR depth maps and applications Andrea Conti Matteo Poggi Filippo Aleotti S. Mattoccia 3DV 14 12 0 06 Oct 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun Mattia Segu Janis Postels Yuxuan Wang Luc Van Gool Bernt Schiele F. Tombari F. I. F. Richard Yu TTA 36 149 0 16 Jun 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 13 11 0 03 Mar 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments Shreshth Tuli G. Casale N. Jennings 24 21 0 16 Dec 2021
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds Chao Qi Jianqin Yin UQCV 3DPC BDL 20 2 0 05 Dec 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 28 14 0 21 Nov 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 27 15 0 28 Sep 2021
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing Kanil Patel William H. Beluch K. Rambach Michael Pfeiffer B. Yang UQCV 25 9 0 27 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 46 21 0 20 Sep 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 16 48 0 03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 28 22 0 02 Aug 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,108 0 07 Jul 2021
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra Kanil Patel William H. Beluch K. Rambach Adriana-Eliza Cozma Michael Pfeiffer Bin Yang EDL UQCV 14 5 0 01 Jun 2021
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler César Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 19 22 0 05 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 221 0 20 Nov 2020
Perceiving Humans: from Monocular 3D Localization to Social Distancing Lorenzo Bertoni S. Kreiss Alexandre Alahi 31 33 0 01 Sep 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 22 100 0 15 Jun 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 8 7 0 21 May 2020
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 21 29 0 28 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015