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AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
March 22, 2024, 4:43 a.m. | Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
cs.LG updates on arXiv.org arxiv.org
Abstract: We present a novel adversarial penalized self-knowledge distillation method, named adversarial learning and implicit regularization for self-knowledge distillation (AI-KD), which regularizes the training procedure by adversarial learning and implicit distillations. Our model not only distills the deterministic and progressive knowledge which are from the pre-trained and previous epoch predictive probabilities but also transfers the knowledge of the deterministic predictive distributions using adversarial learning. The motivation is that the self-knowledge distillation methods regularize the predictive probabilities …
abstract adversarial adversarial learning arxiv cs.cv cs.lg distillation knowledge novel regularization training type
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