Lihui Chen

SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives

2023 · arXiv (Cornell University)

This paper improves contrastive learning for sentence embeddings from two perspectives: handling dropout noise and addressing feature corruption. Specifically, for the first perspective, we identify that the dropout noise from negative pairs affects the model's …