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README.md

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 license: apache-2.0
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 # mutual information Contrastive Sentence Embedding (**miCSE**):
+[![arXiv](https://img.shields.io/badge/arXiv-2109.05105-29d634.svg)](https://arxiv.org/abs/2211.04928)
+Language model of the pre-print arXiv paper titled: "_**miCSE**: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings_" 
+
 
-Language model of the pre-print paper titled: "_**miCSE**: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings_"
 
 Training **miCSE** imposes alignment between the attention pattern of different views during contrastive learning. Learning sentence embeddings with **miCSE** entails enforcing the syntactic consistency across augmented views for every single sentence, making contrastive self-supervised learning more sample efficient.