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pro vyhledávání: '"Hojel, Alberto"'
Low-Rank Adaptation (LoRA) and other parameter-efficient fine-tuning (PEFT) methods provide low-memory, storage-efficient solutions for personalizing text-to-image models. However, these methods offer little to no improvement in wall-clock training t
Externí odkaz:
http://arxiv.org/abs/2412.02352
Visual Prompting is a technique for teaching models to perform a visual task via in-context examples, without any additional training. In this work, we analyze the activations of MAE-VQGAN, a recent Visual Prompting model, and find task vectors, acti
Externí odkaz:
http://arxiv.org/abs/2404.05729