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Found 2 papers, 1 papers with code
Triplet Loss for Knowledge Distillation
The functionality of the metric learning to reduce the differences between similar outputs can be used for the knowledge distillation to reduce the differences between the outputs of the teacher model and the student model.
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
However, the recognition accuracy of the trained deep CNN drastically decreases for the samples which are obtained from the outside regions of the training samples.
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