297 citations · 592 across the 17 of their papers we have counts for
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cs.LG2024
Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation
Lorenzo Brigato, Stavroula Mougiakakou
We introduce Tune without Validation (Twin), a simple and effective pipeline for tuning learning rate and weight decay of homogeneous classifiers without validation sets, eliminati…
cs.LG2018★ 37 cited
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network
Qingnan Sun, Marko V. Jankovic, Lia Bally +1
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A seq…