Streamlined Knowledge Distillation
Streamlined Knowledge Distillation is proposed, a simple yet effective logit-based method that transfers only two essential forms of knowledge without requiring additional alignment or relational modeling and introduces a Mahalanobis distance-based direction-wise loss stabilized through Tikhonov regularization and Cholesky decomposition.