One Meta-tuned Transformer is What You Need for Few-shot Learning

Xu Yang; Huaxiu Yao; Ying Wei

2024 ICML ICML 2024

One Meta-tuned Transformer is What You Need for Few-shot Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Xu Yang, Huaxiu Yao, Ying Wei

Topics

Artificial Intelligence > Learning Paradigms > Few-Shot Learning Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Transformers

Keywords

vision transformer few-shot learning self attention masked sample attention metaformer patch-grained task attention

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