69 citations · 103 across the 9 of their papers we have counts for
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cs.AI2021★ 2 cited
DistilCSE: Effective Knowledge Distillation For Contrastive Sentence Embeddings
Chaochen Gao, Xing Wu, Peng Wang +4
Large-scale contrastive learning models can learn very informative sentence embeddings, but are hard to serve online due to the huge model size. Therefore, they often play the role…
cs.CL2021★ 69 cited
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Xing Wu, Chaochen Gao, Liangjun Zang +3
Contrastive learning has been attracting much attention for learning unsupervised sentence embeddings. The current state-of-the-art unsupervised method is the unsupervised SimCSE (…