A Survey on Uncertainty Quantification Methods for Deep Learning

26 February 2023

Papers citing "A Survey on Uncertainty Quantification Methods for Deep Learning"

50 / 52 papers shown

Title
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 498 1 0 10 Feb 2025
Graph-based Confidence Calibration for Large Language Models Yukun Li Sijia Wang Lifu Huang Li-Ping Liu UQCV 142 2 0 03 Nov 2024
Enhanced Detection Classification via Clustering SVM for Various Robot Collaboration Task Rui Liu Xuanzhen Xu Yuwei Shen Armando Zhu Chang Yu Tianjian Chen Ye Zhang 98 37 0 05 May 2024
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach Linyu Liu Yu Pan Xiaocheng Li Guanting Chen 71 35 0 24 Apr 2024
NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising Tianchen Deng Yanbo Wang Hongle Xie Hesheng Wang Jingchuan Wang Danwei W. Wang Weidong Chen 3DV 75 23 0 29 Mar 2024
Hallucination is Inevitable: An Innate Limitation of Large Language Models Ziwei Xu Sanjay Jain Mohan S. Kankanhalli HILM LRM 134 246 0 22 Jan 2024
Methods to Estimate Large Language Model Confidence Maia Kotelanski Robert Gallo Ashwin Nayak Thomas Savage LM&MA 53 6 0 28 Nov 2023
Quantifying Deep Learning Model Uncertainty in Conformal Prediction Hamed Karimi Reza Samavi UQCV 37 11 0 01 Jun 2023
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 108 109 0 30 Sep 2022
TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification Zhaobin Mo Yongjie Fu Daran Xu Xuan Di AI4CE 44 17 0 19 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 204 50 0 01 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 273 30,123 0 01 Mar 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 77 15 0 31 Jan 2022
Pretrained Language Models for Text Generation: A Survey Junyi Li Tianyi Tang Wayne Xin Zhao J. Nie Ji-Rong Wen AI4CE 78 145 0 14 Jan 2022
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 89 140 0 21 Jul 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 195 616 0 15 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
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty Joost R. van Amersfoort Lewis Smith Andrew Jesson Oscar Key Y. Gal UQCV 64 103 0 22 Feb 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 247 168 0 30 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 327 1,917 0 12 Nov 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 497 2,401 0 18 Oct 2020
Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi Matthias Hein Philipp Hennig UQCV BDL 59 30 0 06 Oct 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 95 1,139 0 30 Aug 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 59 162 0 11 Aug 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles Tárik S. Salem H. Langseth H. Ramampiaro UQCV 54 36 0 19 Jul 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
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 168 449 0 17 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 65 180 0 16 Jun 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks J. Swiatkowski Kevin Roth Bastiaan S. Veeling Linh-Tam Tran Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Rodolphe Jenatton Sebastian Nowozin BDL 46 45 0 07 Feb 2020
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
Compositional uncertainty in deep Gaussian processes Ivan Ustyuzhaninov Ieva Kazlauskaite Markus Kaiser Erik Bodin Neill D. F. Campbell Carl Henrik Ek UQCV 75 23 0 17 Sep 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 167 1,691 0 06 Jun 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi Dayoung Chun Hyun Kim Hyuk-Jae Lee 71 399 0 09 Apr 2019
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks K. Posch J. Pilz UQCV BDL 88 28 0 02 Apr 2019
Variational Inference to Measure Model Uncertainty in Deep Neural Networks K. Posch J. Steinbrener J. Pilz UQCV BDL 45 29 0 26 Feb 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 75 2,014 0 12 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 70 60 0 11 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 114 359 0 09 Nov 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 177 991 0 05 Jun 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 83 529 0 28 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 83 330 0 20 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 186 914 0 28 Feb 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 92 759 0 27 Oct 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 352 4,705 0 15 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 155 3,452 0 07 Oct 2016
Variational Inference with Hamiltonian Monte Carlo Christopher Wolf Maximilian Karl Patrick van der Smagt BDL 53 36 0 26 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 342 7,650 0 30 Jun 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 269 4,787 0 04 Jan 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 243 885 0 06 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013