MAML1 [2023-2] 염제원 - Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including classification, regression, and reinforc arxiv.org Abstract Model-Agnostic한 Meta-Learning 알고리즘 (MAML)을 제시함 Gradient .. 2023. 11. 24. 이전 1 다음
