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Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning
The improvement in the performance of efficient and lightweight models (i. e., the student model) is achieved through knowledge distillation (KD), which involves transferring knowledge from more complex models (i. e., the teacher model).
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