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Paired Multimodal Scaling Laws

Ma, Marcus et al.
arXiv (All) · Papers
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machine-learning
Existing multimodal scaling laws fit multimodality terms empirically after testing and never vary how much data is multimodally paired at fixed data budgets. We investigate how, under the same total data per modality, changing the number of paired data affects loss curves in multimodal classificatio
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