Uncertainty in Neural Networks: Approximately Bayesian Ensembling

12 October 2018

Papers citing "Uncertainty in Neural Networks: Approximately Bayesian Ensembling"

41 / 41 papers shown

Title
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 173 0 0 14 Mar 2025
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
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks E. V. Aretos D. G. Sotiropoulos 25 0 0 08 Sep 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 30 0 0 05 Jun 2024
Uncertainty Quantification Metrics for Deep Regression Simon Kristoffersson Lind Ziliang Xiong Per-Erik Forssén Volker Kruger UQCV 32 3 0 07 May 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Inadequacy of common stochastic neural networks for reliable clinical decision support Adrian Lindenmeyer Malte Blattmann S. Franke Thomas Neumuth Daniel Schneider BDL 35 1 0 24 Jan 2024
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 26 2 0 25 Sep 2023
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach Stefan Schoepf Jack Foster Alexandra Brintrup 32 1 0 22 Jul 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 41 1 0 12 Jul 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 21 1 0 10 Apr 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 25 1 0 03 Apr 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 30 11 0 14 Dec 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection Pratinav Seth Adil Mehmood Khan Ananya Gupta Saurabh Mishra Akshat Bhandhari 26 0 0 06 Nov 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 30 4 0 17 Sep 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 33 4 0 28 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 31 2 0 21 Jun 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 31 24 0 25 Feb 2022
SAE: Sequential Anchored Ensembles Arnaud Delaunoy Gilles Louppe UQCV BDL 14 0 0 30 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 44 7 0 08 Dec 2021
Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks Giacomo Arcieri David Wölfle Eleni Chatzi OffRL 27 5 0 25 Oct 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 21 6 0 19 Oct 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 34 9 0 08 Oct 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 38 8 0 10 Sep 2021
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks Si-Yuan Liu Pei Zhang Dan Lu Guannan Zhang OODD 22 10 0 05 Aug 2021
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models S. Lazic Dominic P. Williams UD 19 14 0 18 May 2021
Particle MPC for Uncertain and Learning-Based Control Robert Dyro James Harrison Apoorva Sharma Marco Pavone 19 16 0 06 Apr 2021
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 35 31 0 09 Dec 2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 13 64 0 06 Nov 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 21 7 0 25 Sep 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 14 56 0 14 Aug 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 29 60 0 22 Jun 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks Sujay Thakur Cooper Lorsung Yaniv Yacoby Finale Doshi-Velez Weiwei Pan BDL UQCV 33 4 0 21 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 18 71 0 15 Jun 2020
Ensembled sparse-input hierarchical networks for high-dimensional datasets Jean Feng N. Simon 19 4 0 11 May 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 639 0 20 Feb 2020
Multivariate Uncertainty in Deep Learning Rebecca L. Russell Christopher P. Reale BDL UQCV 17 68 0 31 Oct 2019
Quality of Uncertainty Quantification for Bayesian Neural Network Inference Jiayu Yao Weiwei Pan S. Ghosh Finale Doshi-Velez UQCV BDL 24 113 0 24 Jun 2019
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 74 268 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015