Learnable Bernoulli Dropout for Bayesian Deep Learning

Learnable Bernoulli Dropout for Bayesian Deep Learning

12 February 2020

Randy Ardywibowo

Siamak Zamani Dadaneh

Mingyuan Zhou

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Papers citing "Learnable Bernoulli Dropout for Bayesian Deep Learning"

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Title
Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification Haocong Rao Chunyan Miao 172 1 0 12 Dec 2024
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers R. Liu Young Jin Kim Alexandre Muzio Hany Awadalla MoE 79 22 0 28 May 2022
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification Sai Krishna Mendu S. Chakraborty BDL AI4CE 47 1 0 08 Nov 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 116 26 0 20 May 2021
Not All Attention Is All You Need Hongqiu Wu Hai Zhao Min Zhang 68 9 0 10 Apr 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 86 31 0 06 Mar 2021
Bayesian Graph Neural Networks with Adaptive Connection Sampling Arman Hasanzadeh Ehsan Hajiramezanali Shahin Boluki Mingyuan Zhou N. Duffield Krishna R. Narayanan Xiaoning Qian BDL 75 118 0 07 Jun 2020
ARSM Gradient Estimator for Supervised Learning to Rank Siamak Zamani Dadaneh Shahin Boluki Mingyuan Zhou Xiaoning Qian 53 8 0 01 Nov 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 76 163 0 07 Jun 2019