Hongyuan Zhang

Contrastive learning research links data augmentation to positive-incentive noise estimation

Researchers have theoretically connected contrastive learning with a concept called Positive-incentive Noise ($\pi$-noise), which aims to learn beneficial noise for tasks. They propose that standard data augmentation in…