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KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
Knowledge distillation (KD) has emerged as an effective technique for compressing models that can enhance the lightweight model. Conventional KD methods propose various designs to allow student model to imitate the teacher better.
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Learning From Biased Soft Labels Hua Yuan 1,2, Y u Shi
The proposed indicators adequately measure the effectiveness of the soft labels generated in this process.
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