ملف الباحث
Yeong‐Dae Kwon
ورقة واحدة في مجموعة PaperMetrix
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SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
2021 · arXiv (Cornell University)
This paper introduces SelfMatch, a semi-supervised learning method that combines the power of contrastive self-supervised learning and consistency regularization. SelfMatch consists of two stages: (1) self-supervised pre-training based on contrastive learning and (2) semi-supervised fine-tuning …