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Excitation Dropout: Encouraging Plasticity in Deep Neural Networks

Excitation Dropout: Encouraging Plasticity in Deep Neural Networks

23 May 2018
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
ArXivPDFHTML

Papers citing "Excitation Dropout: Encouraging Plasticity in Deep Neural Networks"

3 / 3 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
102
0
0
27 Mar 2025
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
19
3
0
15 Nov 2022
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
1