Is data imbalance secretly sabotaging your contrastive learning models? A joint effort from NJIT, Cornell, UL Lafayette, and RPI just revealed why. They developed a theoretical framework to trace how Transformer-based contrastive models learn, pinpointing exactly how
Data Imbalance Impact on Transformer Contrastive Learning Models
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