Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

3 December 2020

Papers citing "Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization"

6 / 6 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 119 0 0 04 May 2025
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling Jiadong Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 45 4 0 17 Feb 2023
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 61 43 0 20 May 2022
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 202 243 0 14 Jun 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 74 266 0 13 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 264 1,275 0 06 Mar 2017