Overpruning in Variational Bayesian Neural Networks

18 January 2018

Papers citing "Overpruning in Variational Bayesian Neural Networks"

15 / 15 papers shown

Title
Variational Visual Question Answering Tobias Jan Wieczorek Nathalie Daun Mohammad Emtiyaz Khan Marcus Rohrbach OOD 44 0 0 14 May 2025
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 49 0 0 10 Oct 2024
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations Carlos Rombaldo Junior Ingolf Becker Zongyu Guo Shane Johnson 13 12 0 29 Sep 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 25 52 0 11 Nov 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh Jacob R. Gardner Adji Bousso Dieng Hongseok Kim BDL 37 8 0 13 Jun 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 19 12 0 24 Feb 2022
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 34 6 0 01 Oct 2021
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 46 100 0 15 Jun 2020
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes Sebastian W. Ober Laurence Aitchison BDL 26 60 0 17 May 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos T. Bui BDL 20 23 0 10 Feb 2020
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 19 73 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 45 263 0 24 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015