Soheun Yi

Mini-Batch Optimization of Contrastive Loss

2023 · arXiv (Cornell University)

Contrastive learning has gained significant attention as a method for self-supervised learning. The contrastive loss function ensures that embeddings of positive sample pairs (e.g., different samples from the same class or different views of the …