Contrastive Learning with Negative Sampling Correction

As one of the most effective self-supervised representation learning methods, contrastive learning (CL) relies on multiple negative pairs to contrast against each positive pair. In the standard practice of contrastive learning, data augmentation methods are utilized to generate both positive and neg...

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Hauptverfasser:	Wang, Lu, Du, Chao, Zhao, Pu, Luo, Chuan, Zhu, Zhangchi, Qiao, Bo, Zhang, Wei, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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