Deep Learning, Artificial Intelligence, Image Classification, Semi Supervised Learning.
1.5. Varying the Amount of Labeled and Unlabeled Data A somewhat common practice is to vary the size of D by throwing away different amounts of the underlyling labeled dataset [48, 43, 45, 50]. Less common is to vary the size of D_UL in a systematic way. 1.6. Realistically Small Validation Sets An