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Generalized Dropout

Generalized Dropout

21 November 2016
Suraj Srinivas
R. Venkatesh Babu
    BDL
ArXivPDFHTML

Papers citing "Generalized Dropout"

12 / 12 papers shown
Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
107
0
0
27 Mar 2025
LOFT: Finding Lottery Tickets through Filter-wise Training
LOFT: Finding Lottery Tickets through Filter-wise Training
Qihan Wang
Chen Dun
Fangshuo Liao
C. Jermaine
Anastasios Kyrillidis
27
3
0
28 Oct 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
John Rachwan
Daniel Zügner
Bertrand Charpentier
Simon Geisler
Morgane Ayle
Stephan Günnemann
25
24
0
21 Jun 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth
Most Activation Functions Can Win the Lottery Without Excessive Depth
R. Burkholz
MLT
77
18
0
04 May 2022
Lottery Tickets with Nonzero Biases
Lottery Tickets with Nonzero Biases
Jonas Fischer
Advait Gadhikar
R. Burkholz
27
6
0
21 Oct 2021
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature
  Redundancy
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Mengzhu Wang
Xiang Zhang
L. Lan
Wei Wang
Huibin Tan
Zhigang Luo
AI4CE
39
1
0
28 Dec 2020
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary
  Gates and $L_0$ Regularization
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and L0L_0L0​ Regularization
Yaniv Shulman
46
3
0
07 Dec 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su
Yihang Chen
Tianle Cai
Tianhao Wu
Ruiqi Gao
Liwei Wang
J. Lee
14
85
0
22 Sep 2020
Survey of Dropout Methods for Deep Neural Networks
Survey of Dropout Methods for Deep Neural Networks
Alex Labach
Hojjat Salehinejad
S. Valaee
27
149
0
25 Apr 2019
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
26
178
0
28 Feb 2018
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
23
479
0
24 May 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
202
745
0
06 Jun 2015
1