Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning (2024.findings-eacl)
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| Challenge: | Existing studies have focused on the effectiveness of contrastive learning in deep learning. |
| Approach: | They propose a method to improve sentence representation of unsupervised contrastive learning by examining the role of temperature in VRL and SRL. |
| Outcome: | The proposed method improves representation of unsupervised contrastive learning by cooling the temperature of the representation space. |
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