AINeutralarXiv – CS AI · 10h ago6/10
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Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers
Researchers introduce HyperAdapter, a parameter-efficient fine-tuning method for vision transformers that adapts model weights through hypergraph-structured token groupings rather than individual tokens. The approach demonstrates consistent performance improvements over existing adapter methods while maintaining computational efficiency, suggesting that adaptation space design is critical for vision transformer transfer learning.