Learnable Bernoulli Dropout for Bayesian Deep Learning

Learnable Bernoulli Dropout for Bayesian Deep Learning

12 February 2020

Randy Ardywibowo

Siamak Zamani Dadaneh

Mingyuan Zhou

Papers citing "Learnable Bernoulli Dropout for Bayesian Deep Learning"

10 / 10 papers shown

Title
Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification Haocong Rao Chunyan Miao 83 1 0 12 Dec 2024
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers R. Liu Young Jin Kim Alexandre Muzio Hany Awadalla MoE 55 22 0 28 May 2022
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 67 26 0 20 May 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 30 27 0 06 Mar 2021
ARSM Gradient Estimator for Supervised Learning to Rank Siamak Zamani Dadaneh Shahin Boluki Mingyuan Zhou Xiaoning Qian 25 7 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 20 155 0 07 Jun 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 207 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012