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Mixed Supervised Graph Contrastive Learning for Recommendation
Recommender systems (RecSys) play a vital role in online platforms, offering users personalized suggestions amidst vast information. Graph contrastive learning aims to learn... -
UMIC: An unreferenced metric for image captioning via contrastive learning
UMIC: An unreferenced metric for image captioning via contrastive learning -
A simple framework for contrastive learning of visual representations
A simple framework for contrastive learning of visual representations. -
i-mix: A domain-agnostic strategy for contrastive representation learning
A simple framework for contrastive learning of visual representations. -
Contrastive Learning of Person-independent Representations for Facial Action ...
Contrastive learning of person-independent representations for facial action unit detection