Computer Science > Machine Learning
[Submitted on 14 Sep 2021 (v1), last revised 27 Aug 2024 (this version, v3)]
Title:A Note on Knowledge Distillation Loss Function for Object Classification
View PDF HTML (experimental)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.
Submission history
From: Defang Chen Dr. [view email][v1] Tue, 14 Sep 2021 05:54:29 UTC (144 KB)
[v2] Sat, 18 Dec 2021 10:00:19 UTC (144 KB)
[v3] Tue, 27 Aug 2024 09:09:05 UTC (12 KB)
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