AnEmbarrassinglySimpleApproachto Semi-SupervisedFew-ShotLearning

Neural Information Processing Systems 

Themostpopular fashion of SSFSL is to predict unlabeled data with pseudo-labels by carefully devising tailored strategies, and then augment the extremely small support set of labeled data in few-shot classification,e.g., [9,15,36].