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cs.CL2022★ 2 cited
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Rui Cao, Yihao Wang, Yuxin Liang +4
Contrastive learning is emerging as a powerful technique for extracting knowledge from unlabeled data. This technique requires a balanced mixture of two ingredients: positive (simi…
cs.CL2021
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Yuxin Liang, Rui Cao, Jie Zheng +2
Pre-trained language models such as BERT have become a more common choice of natural language processing (NLP) tasks. Research in word representation shows that isotropic embedding…