one hot encode to class level vectors should we smoothing out the labels by putting uniform weight on the other class labels or should we use this teacher-to-student pipeline and knowledge installation but the solution explored in this paper is to metal learn the pseudo label distribution or the targets that the student networks and we trying to fit during training there are two phases of learning in the meta pseudo labels framework in phase one the student learns from the teacher the parameters theta of the student