Structured Dropout Variational Inference for Bayesian Neural Networks

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Structured Dropout Variational Inference for Bayesian Neural Networks

16 February 2021

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Papers citing "Structured Dropout Variational Inference for Bayesian Neural Networks"

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Title
A Statistical Framework for Model Selection in LSTM Networks Fahad Mostafa 20 0 0 07 Jun 2025
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem Xiong-bin Yan Keke Wu Zhi-Qin John Xu Zheng Ma 42 0 0 08 Nov 2023
Collapsed Inference for Bayesian Deep Learning Zhe Zeng Guy Van den Broeck FedML BDL UQCV 126 9 0 16 Jun 2023
Flat Seeking Bayesian Neural Networks Van-Anh Nguyen L. Vuong Hoang Phan Thanh-Toan Do Dinh Q. Phung Trung Le BDL 100 10 0 06 Feb 2023
Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan Lam C. Tran Ngoc N. Tran Nhat Ho Tuan Truong Qi Lei Nhat Ho Dinh Q. Phung Trung Le 209 11 0 24 Nov 2022
GFlowOut: Dropout with Generative Flow Networks Dianbo Liu Moksh Jain Bonaventure F. P. Dossou Qianli Shen Salem Lahlou ... Dinghuai Zhang N. Hassen Xu Ji Kenji Kawaguchi Yoshua Bengio UQCV BDL OOD 109 22 0 24 Oct 2022
Tackling covariate shift with node-based Bayesian neural networks Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski BDL UQCV 63 6 0 06 Jun 2022