A Note on Knowledge Distillation Loss Function for Object Classification

Defang Chen

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arXiv · 2109.06458

A Note on Knowledge Distillation Loss Function for Object Classification

Defang Chen

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Abstract

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

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Defang Chen. 2021-09-14. A Note on Knowledge Distillation Loss Function for Object Classification. https://arxiv.org/abs/2109.06458

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