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cs.LG2021★ 3 cited
To Raise or Not To Raise: The Autonomous Learning Rate Question
Xiaomeng Dong, Tao Tan, Michael Potter +4
There is a parameter ubiquitous throughout the deep learning world: learning rate. There is likewise a ubiquitous question: what should that learning rate be? The true answer to th…
cs.LG2021
Optimizing Data Augmentation Policy Through Random Unidimensional Search
Xiaomeng Dong, Michael Potter, Gaurav Kumar +3
It is no secret amongst deep learning researchers that finding the optimal data augmentation strategy during training can mean the difference between state-of-the-art performance a…