Boosting Learning Efficiency in Few-Shot Tasks With Layer-Adaptive PID Control
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Few-shot learning seeks to recognize novel classes from limited examples. Model-agnostic meta-learning (MAML), known for its simplicity and flexibility, learns an effective initialization for fast adaptation in data-scarce settings. However, MAML-based methods... ...
