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Found 2 papers, 1 papers with code
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
It utilizes multimodal information to alleviate the data sparsity problem in recommendation systems, thus improving recommendation accuracy.
Learning Rich Image Region Representation for Visual Question Answering
We propose to boost VQA by leveraging more powerful feature extractors by improving the representation ability of both visual and text features and the ensemble of models.
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