Similarity‐based adversarial knowledge distillation using graph convolutional neural network
Abstract This letter presents an adversarial knowledge distillation based on graph convolutional neural network. For knowledge distillation, many methods have been proposed in which the student model individually and independently imitates the output of the teacher model on the input data. Our metho...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-08-01
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Series: | Electronics Letters |
Online Access: | https://doi.org/10.1049/ell2.12543 |