A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications

3 November 2021

Papers citing "A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications"

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Title
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 70 2 0 09 Oct 2024
Deep Huber quantile regression networks Hristos Tyralis Georgia Papacharalampous N. Dogulu Kwok-Pan Chun UQCV 96 2 0 17 Jun 2023
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification Zakaria Senousy M. Abdelsamea M. Gaber Moloud Abdar R. Acharya Abbas Khosravi S. Nahavandi 56 59 0 24 Aug 2021
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving Ferhat Ozgur Catak T. Yue Shaukat Ali 46 22 0 11 Jul 2021
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation C. Perone Roberto Silveira Thomas S. Paula ODL UQCV 23 2 0 09 Jul 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 229 1,149 0 07 Jul 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 55 18 0 17 Apr 2021
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection Aixuan Li Jing Zhang Yun-Qiu Lv Bowen Liu Tong Zhang Yuchao Dai 67 210 0 06 Apr 2021
Robust Representation Learning with Feedback for Single Image Deraining Chenghao Chen Hao Li 63 80 0 29 Jan 2021
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 49 5 0 27 Nov 2020
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 56 354 0 17 Nov 2020
Bayesian Deep Learning via Subnetwork Inference Erik A. Daxberger Eric T. Nalisnick J. Allingham Javier Antorán José Miguel Hernández-Lobato UQCV BDL 64 85 0 28 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 99 25 0 04 Oct 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 82 627 0 14 Jul 2020
Single Shot MC Dropout Approximation K. Brach Beate Sick Oliver Durr UQCV BDL 50 18 0 07 Jul 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseo Lee Matthias Humt Jianxiang Feng Rudolph Triebel BDL UQCV 72 46 0 20 Jun 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Sina Daubener Lea Schonherr Asja Fischer D. Kolossa AAML 46 18 0 24 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 2020
Hydra: Preserving Ensemble Diversity for Model Distillation Linh-Tam Tran Bastiaan S. Veeling Kevin Roth J. Swiatkowski Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Sebastian Nowozin Rodolphe Jenatton 60 59 0 14 Jan 2020
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks Yang Song Qiyu Kang Wee Peng Tay AAML 48 21 0 30 Nov 2019
When does Diversity Help Generalization in Classification Ensembles? Yijun Bian Huanhuan Chen 53 71 0 30 Oct 2019
$DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images$ DR $\vert$ GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images Teresa Araújo Guilherme Aresta Luís Mendonça S. Penas Carolina Maia Â. Carneiro A. Mendonça A. Campilho MedIm 377 111 0 25 Oct 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 231 1,411 0 21 Oct 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation Shuo Wang Yang Liu Chao Wang Huanbo Luan Maosong Sun UQLM 70 82 0 31 Aug 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 60 293 0 16 Jul 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation Lorenzo Bertoni S. Kreiss Alexandre Alahi UQCV 60 117 0 14 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 164 1,691 0 06 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 136 245 0 06 Jun 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 57 83 0 24 May 2019
A Bayesian Perspective on the Deep Image Prior Zezhou Cheng Matheus Gadelha Subhransu Maji Daniel Sheldon BDL UQCV 64 135 0 16 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 70 197 0 27 Mar 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 74 276 0 11 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang Adriana Romero Matthew Muckley Pascal Vincent Lin Yang M. Drozdzal 93 110 0 08 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 82 808 0 07 Feb 2019
On the Convergence of the Laplace Approximation and Noise-Level-Robustness of Laplace-based Monte Carlo Methods for Bayesian Inverse Problems C. Schillings Björn Sprungk Philipp Wacker 47 65 0 13 Jan 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 68 222 0 30 Nov 2018
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning Jiaming Zeng Adam Lesnikowski J. Álvarez OOD UQCV BDL 54 27 0 29 Nov 2018
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 55 118 0 24 Nov 2018
Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao William Yang Wang UQCV BDL 75 149 0 18 Nov 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient Aaron Mishkin Frederik Kunstner Didrik Nielsen Mark Schmidt Mohammad Emtiyaz Khan BDL UQCV 67 60 0 11 Nov 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 74 468 0 23 Sep 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation T. Nair Doina Precup Douglas L. Arnold Tal Arbel UQCV 58 445 0 03 Aug 2018
Efficient Uncertainty Estimation for Semantic Segmentation in Videos Po-Yu Huang W. Hsu Chun-Yueh Chiu Tingfan Wu Min Sun BDL UQCV 59 107 0 29 Jul 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 Vercauteren UQCV MedIm OOD 143 591 0 19 Jul 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 146 270 0 13 Jun 2018
Multi-Layered Gradient Boosting Decision Trees Ji Feng Yang Yu Zhi Zhou AI4CE 176 120 0 31 May 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo Haebeom Lee Saehoon Kim Juho Lee Kwang Joon Kim Eunho Yang Sung Ju Hwang OOD 66 87 0 24 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 83 330 0 20 May 2018
Confidence Modeling for Neural Semantic Parsing Li Dong Chris Quirk Mirella Lapata 57 84 0 11 May 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 121 1,659 0 14 Mar 2018