A Simple Baseline for Bayesian Uncertainty in Deep Learning

7 February 2019

Dmitry Vetrov

Papers citing "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

50 / 179 papers shown

Title
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy William R. Keely Otto Lamminpää Steffen Mauceri Sean M. R. Crowell Christopher W. O'Dell Gregory R. McGarragh 50 0 0 23 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 40 0 0 17 Apr 2025
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression Yixuan Zhang Dongyan Yudong Chen Qiaomin Xie 24 0 0 11 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 76 0 0 19 Mar 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 66 0 0 24 Feb 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 45 0 0 28 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang H. Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 113 6 0 28 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 149 0 0 23 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 196 0 0 14 Jan 2025
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 94 2 0 27 Nov 2024
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin P. Whalley Neil K. Chada B. Leimkuhler BDL 46 4 0 14 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 28 1 0 08 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Function-Space MCMC for Bayesian Wide Neural Networks Lucia Pezzetti Stefano Favaro Stefano Peluchetti BDL 127 0 0 26 Aug 2024
Trustworthy Contrast-enhanced Brain MRI Synthesis Jiyao Liu Yuxin Li Shangqi Gao Yuncheng Zhou Xin Gao Ningsheng Xu Xiao-Yong Zhang Xiahai Zhuang MedIm 28 1 0 10 Jul 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 63 1 0 07 Jun 2024
Reparameterization invariance in approximate Bayesian inference Hrittik Roy M. Miani Carl Henrik Ek Philipp Hennig Marvin Pfortner Lukas Tatzel Søren Hauberg BDL 44 8 0 05 Jun 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 62 1 0 31 May 2024
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles Haiwen Guan T. Arcomano Ashesh Chattopadhyay R. Maulik AI4Cl 42 10 0 25 May 2024
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation Zhiwei Yang Yucong Meng Kexue Fu Shuo Wang Zhijian Song 34 4 0 12 Apr 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 38 5 0 04 Mar 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 35 1 0 13 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts Masoumeh Javanbakhat Md Tasnimul Hasan Cristoph Lippert UQCV OOD 26 1 0 10 Feb 2024
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks Youngkyoung Bae Seungwoong Ha Hawoong Jeong 73 2 0 02 Feb 2024
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 16 3 0 20 Dec 2023
Machine-Guided Discovery of a Real-World Rogue Wave Model Dion Häfner Johannes Gemmrich Markus Jochum AI4CE 13 10 0 21 Nov 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 23 7 0 17 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 40 1 0 16 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 18 1 0 10 Oct 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 35 4 0 27 Sep 2023
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks Sanket R. Jantre Nathan M. Urban Xiaoning Qian Byung-Jun Yoon BDL UQCV 21 4 0 06 Sep 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Elhabian UQCV 18 5 0 15 Aug 2023
Gibbs Sampling the Posterior of Neural Networks Giovanni Piccioli Emanuele Troiani Lenka Zdeborová 36 2 0 05 Jun 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 21 3 0 31 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 61 1 0 26 May 2023
Measuring and Mitigating Local Instability in Deep Neural Networks Arghya Datta Subhrangshu Nandi Jingcheng Xu Greg Ver Steeg He Xie Anoop Kumar Aram Galstyan 17 3 0 18 May 2023
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation Mutian He Philip N. Garner 36 4 0 16 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 19 2 0 21 Apr 2023
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification Marco Forgione Dario Piga UQCV 17 2 0 13 Apr 2023
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging Aarne Talman H. Çelikkanat Sami Virpioja Markus Heinonen Jörg Tiedemann BDL UQCV 24 7 0 10 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV 43 85 0 16 Feb 2023
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets Marianne A Jonker H. Pazira Anthony C. C. Coolen FedML 20 5 0 15 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 31 16 0 13 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 18 4 0 10 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 35 0 10 Feb 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion Alan Jeffares Tennison Liu Jonathan Crabbé M. Schaar FedML 50 15 0 26 Jan 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 25 0 0 11 Jan 2023