2025
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
ICML 2025poster
In recent years, contrastive learning has achieved state-of-the-art performance in the territory of self-supervised representation learning. Many previous works have attempted to provide the theoretical understanding underlying the success of contrastive learning. Almost all of them rely on a defau…