Instruction: Provide a detailed step-by-step approach, including the selection of the pre-trained model, the adaptation process, and any modifications to the model architecture or training process.
Context: This question assesses the candidate's ability to leverage Transfer Learning effectively when data is scarce, showcasing their problem-solving skills and understanding of model adaptation and optimization.
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One example I would use is this: On a small dataset, I would start from a pretrained model that is as close as possible to the target domain, freeze most of the backbone at first, and train a lightweight task head. Then...