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Structured Dropout Variational Inference for Bayesian Neural Networks
v1v2v3v4 (latest)

Structured Dropout Variational Inference for Bayesian Neural Networks

Neural Information Processing Systems (NeurIPS), 2021
16 February 2021
S. Nguyen
Duong Nguyen
Khai Nguyen
Khoat Than
Hung Bui
Nhat Ho
    BDLDRL
ArXiv (abs)PDFHTMLGithub (581★)

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

8 / 8 papers shown
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Jonas Schweisthal
Stefan Feuerriegel
CML
233
1
0
29 Sep 2025
A Statistical Framework for Model Selection in LSTM Networks
A Statistical Framework for Model Selection in LSTM Networks
Fahad Mostafa
117
1
0
07 Jun 2025
An Unsupervised Deep Learning Approach for the Wave Equation Inverse
  Problem
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem
Xiong-bin Yan
Keke Wu
Zhi-Qin John Xu
Zheng Ma
206
0
0
08 Nov 2023
Collapsed Inference for Bayesian Deep Learning
Collapsed Inference for Bayesian Deep LearningNeural Information Processing Systems (NeurIPS), 2023
Zhe Zeng
Karen Ullrich
FedMLBDLUQCV
389
10
0
16 Jun 2023
Flat Seeking Bayesian Neural Networks
Flat Seeking Bayesian Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Van-Anh Nguyen
L. Vuong
Hoang Phan
Thanh-Toan Do
Dinh Q. Phung
Trung Le
BDL
668
14
0
06 Feb 2023
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
Hoang Phan
Lam C. Tran
Ngoc N. Tran
Nhat Ho
Tuan Truong
Qi Lei
Nhat Ho
Dinh Q. Phung
Trung Le
868
13
0
24 Nov 2022
GFlowOut: Dropout with Generative Flow Networks
GFlowOut: Dropout with Generative Flow NetworksInternational Conference on Machine Learning (ICML), 2022
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
...
Dinghuai Zhang
N. Hassen
Xu Ji
Kenji Kawaguchi
Yoshua Bengio
UQCVBDLOOD
336
27
0
24 Oct 2022
Tackling covariate shift with node-based Bayesian neural networks
Tackling covariate shift with node-based Bayesian neural networksInternational Conference on Machine Learning (ICML), 2022
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
BDLUQCV
289
7
0
06 Jun 2022
1
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