Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling

Ziyu Jiang, Tianlong Chen, Ting Chen +1

Contrastive learning approaches have achieved great success in learning visual representations with few labels of the target classes. That implies a tantalizing possibility of scal…