Construct · 1 fields · 1 citations

modality gap: a standalone construct

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Machine learning

the finding that image and text embeddings in contrastive multimodal models occupy separate regions of the shared space rather than mixing.

In machine learning, modality gap refers to the finding that image and text embeddings in contrastive multimodal models occupy separate regions of the shared space rather than mixing. This meaning comes from Liang (2022) in arXiv.[1]

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Nearby constructs

image4 fields · 5 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs mixing3 fields · 5 citationsjingle · one word, three constructs

References

Liang, W., Zhang, Y., Kwon, Y., Yeung, S., & Zou, J. (2022). Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning. arXiv. https://doi.org/10.48550/arxiv.2203.02053

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