Posterior Uncertainty Quantification in Neural Networks using Data Augmentation

18 March 2024

Papers citing "Posterior Uncertainty Quantification in Neural Networks using Data Augmentation"

6 / 6 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 96 0 0 14 Mar 2025
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 65 0 0 03 Jun 2024
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner Zonghao Chen Yee Whye Teh Y. Gal 70 39 0 28 Dec 2023
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 62 77 0 25 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015