Jun 22, 2020 · We propose a simple yet effective regularization method named self-knowledge distillation (Self-KD), which progressively distills a model's own knowledge to ...
A simple yet effective regularization method named self-knowledge distillation (Self-KD), which progressively distills a model's own knowledge to soften ...
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[PDF] Self-Knowledge Distillation: A Simple Way for Better Generalization - arXiv
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Jun 22, 2020 · The proposed method is applicable to any supervised learning tasks with hard targets and can be easily combined with existing regularization.
The ASPDD framework uses a soft probability distributed distillation (SPDD) method to improve the knowledge interaction between the student and teacher models.
Jun 22, 2020 · We propose a simple yet effective regularization method named progressive self-knowledge distillation (PS-KD), which progressively distills a model's own ...
Moreover, it can be easily combined with current advanced regularization techniques, thereby enhancing further their generalization performance. With this ...
Nov 13, 2020 · Self-Knowledge Distillation: A Simple Way for Better Generalization #65. Open. toriving opened this issue on Nov 13, 2020 · 0 comments.
Self-knowledge distillation: A simple way for better generalization. K Kim, BM Ji, D Yoon, S Hwang. arXiv preprint arXiv:2006.12000 3, 1, 2020. 52, 2020.
We present Self-Guidance, a simple way to train deep neural networks via knowledge distillation. The basic idea is to train sub-network to match the prediction ...
In this paper, we propose a simple and effective self-knowledge distillation method using a dropout (SD-Dropout).