6 citations · 7 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 1 cited
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages
Xuewei Cheng, Ke Huang, Yi Zou +1
Deep neural networks have played an important role in automatic sleep stage classification because of their strong representation and in-model feature transformation abilities. How…
cs.LG2023★ 6 cited
Automatic Gradient Descent: Deep Learning without Hyperparameters
Jeremy Bernstein, Chris Mingard, Kevin Huang +2
The architecture of a deep neural network is defined explicitly in terms of the number of layers, the width of each layer and the general network topology. Existing optimisation fr…