no code implementations • 18 Nov 2020 • Helena E. Liu, Leslie N. Smith
Specifically, we show that by combining semi-supervised learning with a one-stage, single network version of self-training, our FROST methodology trains faster and is more robust to choices for the labeled samples and changes in hyper-parameters.
