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Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

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通过深度布雷格曼分歧进行知识蒸的自适应度量

Tongtong Yuan1, Zixuan Xu2, Bo Liu1

  • 1Beijing University of Technology, China.

Neural networks : the official journal of the International Neural Network Society
|September 4, 2025
PubMed
概括

这项研究引入了一种新的知识蒸 (KD) 的深度布雷格曼分歧度量. 这种自适应方法改善了神经网络之间的知识传输,在模型压缩和性能方面表现优于现有的方法.

关键词:
布雷格曼分歧图像分类知识的蒸测量学习

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