Few-shot adaptation of multi-modal foundation models: a survey
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DOI: 10.1007/s10462-024-10915-y
Abstract: Multi-modal (vision-language) models, such as CLIP, are replacing traditional supervised pre-training models (e.g., ImageNet-based pre-training) as the new generation of visual foundation models. These models with robust and aligned semantic representations learned from billions of… read more here.
Keywords: multi; foundation models; multi modal; shot adaptation ... See more keywords
Striatal arbitration between choice strategies guides few-shot adaptation
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DOI: 10.1038/s41467-025-57049-5
Abstract: Animals often exhibit rapid action changes in context-switching environments. This study hypothesized that, compared to the expected outcome, an unexpected outcome leads to distinctly different action-selection strategies to guide rapid adaptation. We designed behavioral measures… read more here.
Keywords: adaptation; unexpected outcome; action selection; shot adaptation ... See more keywords