Contrastive Learning-based tabular Model (CoLeM) is a framework, which uses contrastive learning techniques to learn robust representations for tabular data.
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CoLeM framework is a table model based on contrastive learning techniques for solving the problem of Column Type Annotation.
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YRL-AIDA/CoLeM
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CoLeM framework is a table model based on contrastive learning techniques for solving the problem of Column Type Annotation.
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