**Random Scaling** is a type of image data augmentation where we randomly change the scale the image between a specified range.

**Meta Pseudo Labels** is a semi-supervised learning method that uses a teacher network to generate pseudo labels on unlabeled data to teach a student network. The teacher receives feedback from the student to inform the teacher to generate better pseudo labels. This feedback signal is used as a reward to train the teacher throughout the course of the student’s learning.

Meta Pseudo Labels

Random Scaling

A variant of the popular k-means algorithm that integrates constraint satisfaction into its objective function.

Original paper : Active Semi-Supervision for Pairwise Constrained Clustering, Basu et al. 2004

Year	2000
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