8 code implementations • NeurIPS 2017 • Antti Tarvainen, Harri Valpola
Without changing the network architecture, Mean Teacher achieves an error rate of 4. 35% on SVHN with 250 labels, outperforming Temporal Ensembling trained with 1000 labels.
Semi-Supervised Image Classification Semi-Supervised RGBD Semantic Segmentation +1