Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

18 February 2018

Papers citing "Bayesian Uncertainty Estimation for Batch Normalized Deep Networks"

42 / 42 papers shown

Title
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 45 0 0 21 Jan 2025
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 41 0 0 20 Oct 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Gibbs Sampling the Posterior of Neural Networks Giovanni Piccioli Emanuele Troiani Lenka Zdeborová 41 2 0 05 Jun 2023
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Sungyub Kim Si-hun Park Kyungsu Kim Eunho Yang BDL 26 4 0 30 Sep 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction Kaifeng Lyu Zhiyuan Li Sanjeev Arora FAtt 40 69 0 14 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 35 2 0 12 Jun 2022
Uncertainty categories in medical image segmentation: a study of source-related diversity Luke Whitbread M. Jenkinson UD UQCV 28 3 0 01 Mar 2022
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks Kinjal Patel Steven Waslander UQCV 23 3 0 19 Feb 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 24 58 0 03 Nov 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 24 12 0 22 Sep 2021
Active learning for reducing labeling effort in text classification tasks Peter Jacobs Gideon Maillette de Buy Wenniger M. Wiering Lambert Schomaker VLM 40 12 0 10 Sep 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals Yuandu Lai Yucheng Shi Yahong Han Yunfeng Shao Meiyu Qi Bingshuai Li UQCV 33 15 0 27 Apr 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Tong Xia Jing Han Lorena Qendro T. Dang Cecilia Mascolo 29 28 0 05 Apr 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
On Batch Normalisation for Approximate Bayesian Inference Jishnu Mukhoti P. Dokania Philip H. S. Torr Y. Gal BDL UQCV 29 4 0 24 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 30 22 0 05 Dec 2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference Jiyang Xie Zhanyu Ma Jing-Hao Xue Guoqiang Zhang Jun Guo BDL 27 11 0 17 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
Group Whitening: Balancing Learning Efficiency and Representational Capacity Lei Huang Yi Zhou Li Liu Fan Zhu Ling Shao 25 20 0 28 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 32 158 0 07 Sep 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 8 56 0 14 Aug 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 30 625 0 01 Jul 2020
Estimation with Uncertainty via Conditional Generative Adversarial Networks Minhyeok Lee Junhee Seok MedIm 25 14 0 01 Jul 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 32 18 0 20 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 41 100 0 15 Jun 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
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 26 51 0 24 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 24 262 0 29 Nov 2019
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
Probabilistic framework for solving Visual Dialog Badri N. Patro Anupriy Vinay P. Namboodiri BDL 30 13 0 11 Sep 2019
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 32 14 0 26 Aug 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Badri N. Patro Mayank Lunayach Shivansh Patel Vinay P. Namboodiri FAtt UQCV 27 76 0 17 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 27 139 0 01 Aug 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation Erik Englesson Hossein Azizpour UQCV 14 7 0 12 Jun 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 987 0 21 Feb 2019
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 23 105 0 17 Sep 2018
Towards Understanding Regularization in Batch Normalization Ping Luo Xinjiang Wang Wenqi Shao Zhanglin Peng MLT AI4CE 20 179 0 04 Sep 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren UQCV MedIm OOD 47 582 0 19 Jul 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015