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Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout

28 May 2018
Juho Lee
Saehoon Kim
Jaehong Yoon
Haebeom Lee
Eunho Yang
Sung Ju Hwang
ArXivPDFHTML

Papers citing "Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout"

4 / 4 papers shown
Title
SpanDrop: Simple and Effective Counterfactual Learning for Long
  Sequences
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences
Peng Qi
Guangtao Wang
Jing Huang
29
0
0
03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic
  Meta-Learning
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais
S. Chatzis
BDL
70
8
0
02 Aug 2022
Stochastic Model Pruning via Weight Dropping Away and Back
Stochastic Model Pruning via Weight Dropping Away and Back
Haipeng Jia
Xueshuang Xiang
Da Fan
Meiyu Huang
Changhao Sun
Yang He
27
2
0
05 Dec 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
299
9,202
0
06 Jun 2015
1