Papers with capacity-gap problem

1 papers
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher (2022.coling-1)

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Challenge: Knowledge distillation (KD) is a powerful tool for deep learning applications.
Approach: They propose a method which defines a smoother training path for the student by following the training footprints of the teacher rather than solely relying on distilling from a single mature fully-trained teacher.
Outcome: The proposed technique is quite effective in mitigating the capacity-gap problem and the checkpoint search problem.

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