Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout, this paper presents GI-Dropout, a�...

Aug 24, 2018 � Abstract:Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout�...

GI-Dropout is presented, a novel dropout method integrating with global information to improve neural networks for text classification that aims to use�...

Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout, this paper presents�...

Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout, this paper presents�...

Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout, this paper presents GI-Dropout, a�...

Supervision. Conference Paper. From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information. January 2018. DOI:10.18653/v1/K18-1055.

Table of Contents � Abstract � 1 Introduction � 2 Related Work � 3 Our method. 3.1 Importance Score; 3.2 Dropout Probability; 3.3 GI-Dropout Method � 4 Experiments.

The mechanism for determining whether a software program ... From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information (2018)

Xu et al. From random to supervised: a novel dropout mechanism integrated with global information. E. Cambria. Affective computing and sentiment analysis. IEEE�...