EqCo: Equivalent Rules for Self-supervised Contrastive Learning

1 code implementation • 5 Oct 2020 • Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun

In this paper, we propose a method, named EqCo (Equivalent Rules for Contrastive Learning), to make self-supervised learning irrelevant to the number of negative samples in InfoNCE-based contrastive learning frameworks.

Contrastive Learning Self-Supervised Learning