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Found 2 papers, 1 papers with code
Customizing Synthetic Data for Data-Free Student Learning
Existing works generally synthesize data from the pre-trained teacher model to replace the original training data for student learning.
Knowledge Distillation with Deep Supervision
Knowledge distillation aims to enhance the performance of a lightweight student model by exploiting the knowledge from a pre-trained cumbersome teacher model.
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