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Jun, 2024
元学习的神经程序偏差
Meta-Learning Neural Procedural Biases
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
TL;DR
通过神经程序化偏差元学习(NPBML)的提出,我们可以通过元学习的过程来赋予神经网络特定的程序化偏差,以实现对分布式学习任务的高性能表现。
Abstract
The goal of
few-shot learning
is to generalize and achieve high performance on new unseen learning tasks, where each task has only a limited number of examples available. Gradient-based
meta-learning
attempts to
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