Few-shot evaluation and a per-shot plasticity metric show that meta-learning short sequences of future tasks in continual image classification induces learning-to-learn behavior.
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Re-Evaluating Continual Learning with Few-Shot Adaptation
Few-shot evaluation and a per-shot plasticity metric show that meta-learning short sequences of future tasks in continual image classification induces learning-to-learn behavior.