Few-Shot Learning에 대해 매우 함축적으로 간결히 잘 정리된 문구가 있어서 소개하고 시작하겠다. Few Shot Learning : example of meta-learning, where is trained on several related task, during the meta-training phase, so that it can generalize well to unseen (but related) tasks with just few examples, during the meta-testing phase. An effective approach to the Few-Shot Learning problem is to learn a commmon representation for vario..
