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  # mutual information Contrastive Sentence Embedding (**miCSE**):
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- Language model trained for sentence similarity using mutual information-based Contrastive learning.
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  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.
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  ---
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  # mutual information Contrastive Sentence Embedding (**miCSE**):
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+ Language model of the pre-print paper titled: "_**miCSE**: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings_"
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  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.
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