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This research note provides a quick introduction to the knowledgedistillation loss function used in object classification. In particular, wediscuss its connection to a previously proposed logits matching loss function.We further treat knowledge distillation as a specific form of outputregularization and demonstrate its connection to label smoothing andentropy-based regularization.

A Note on Knowledge Distillation Loss Function for Object Classification