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semi-supervised vision-language learning

technology1 mentionslast seen Oct 15, 2026

Approach leveraging small labeled image-text pairs with abundant unlabeled images.

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Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learningimplementssemi-supervised vision-language learning88% confidence1 source

semi-supervised vision-language learning

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Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learningimplementssemi-supervised vision-language learning

88% confidence1 supporting mentions

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preprintarXivOct 14, 2026Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning (ToMA), a framework that uses persistent homology to decompose pairwise relations into $H_0$-death and $H_1$-birth relations and aligns them across modalities