# Unsupervised Representation Learning

DiffCSE is a difference-based contrastive learning framework for learning sentence embeddings, which enhances semantic understanding by capturing the differences between original and edited sentences.

DiffCSE is an unsupervised contrastive learning framework designed to learn sentence embeddings sensitive to sentence differences. It enhances performance in semantic textual similarity tasks by generating edited sentences through random masking and sampling from a masked language model.