Learning More May Not Be Better: Knowledge Transferability in Vision-and-Language Tasks

Is learning more knowledge always better for vision-and-language models? In this paper, we study knowledge transferability in multi-modal tasks. The current tendency in machine learning is to assume that by joining multiple datasets from different tasks, their overall performance improves. However,...

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Bibliographic Details
Main Authors: Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Journal of Imaging
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Online Access:https://www.mdpi.com/2313-433X/10/12/300
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