Temporal Ensembling for Semi-Supervised Learning Samuli Laine, Timo Aila, arxiv 2016 PDF, Semi-Supervised Learning By SeonghoonYu July 18th, 2021 Summary They propose $\sqcap$-model and temporal Ensemling in a semi-supervised learning setting only a small portion of training data is labeled. During training, $\sqcap$-model evaluates each training input $x_i$, resulting in prediction vetors $z_i$..
