Per-image LoRA adapters fused at inference time produce synthetic training data that improves few-shot image classification accuracy over existing synthetic-data methods.
An empiri- cal study of training self-supervised vision transformers
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LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance
Per-image LoRA adapters fused at inference time produce synthetic training data that improves few-shot image classification accuracy over existing synthetic-data methods.