9.4k citations · 16.5k across the 107 of their papers we have counts for
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cs.LG2017★ 9.4k cited
Decoupled Weight Decay Regularization
Ilya Loshchilov, Frank Hutter
L regularization and weight decay regularization are equivalent for standard stochastic gradient descent (when rescaled by the learning rate), but as we demonstrate this is \em…
cs.LG2017★ 3 cited
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger +2
We apply convolutional neural networks (ConvNets) to the task of distinguishing pathological from normal EEG recordings in the Temple University Hospital EEG Abnormal Corpus. We us…