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Dynamic Temperature Knowledge Distillation
April 22, 2024, 4:41 a.m. | Yukang Wei, Yu Bai
cs.LG updates on arXiv.org arxiv.org
Abstract: Temperature plays a pivotal role in moderating label softness in the realm of knowledge distillation (KD). Traditional approaches often employ a static temperature throughout the KD process, which fails to address the nuanced complexities of samples with varying levels of difficulty and overlooks the distinct capabilities of different teacher-student pairings. This leads to a less-than-ideal transfer of knowledge. To improve the process of knowledge propagation, we proposed Dynamic Temperature Knowledge Distillation (DTKD) which introduces a …
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