hi there today we'll look at self training with noisy student improves image net classification by chidze sie mintan luang eduard hovi and kwok v li so this paper takes an imagenet classifier that's been trained on the imagenet dataset and uses that classifier as a teacher model to label a whole bunch of unlabeled images and then it trains a student model that is larger than the original teacher model on those teacher labeled images and that turns out to improve the classification on the imagenet validation set now that