Score breakdown

Dropout: A Simple Way to Prevent Neural Networks from Overfitting

paper-0061 · paper · 2014

Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov

The defining regularization trick of the era.

Academic, score -0.0978

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent34279.00.1543030.50.077151OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.050.05OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.2309

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent34279.00.1543030.20.030861OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.40.4OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.1864

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent34279.00.1543030.250.038576OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.10.1OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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