585 citations · 784 across the 30 of their papers we have counts for
Showing 2019 · cs.NEShow all
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cs.NE2019★ 47 cited
Survey of Dropout Methods for Deep Neural Networks
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
Dropout methods are a family of stochastic techniques used in neural network training or inference that have generated significant research interest and are widely used in practice…
cs.NE2019★ 4 cited
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks
Hojjat Salehinejad, Shahrokh Valaee
Overfitting is a major problem in training machine learning models, specifically deep neural networks. This problem may be caused by imbalanced datasets and initialization of the m…