然而,这是一个有价值的目标:learning how to learn any task empowers us far beyond knowing how to learn specific tasks.。
meta-leaning 元学习 (Meta-Learning) 通常被理解为“学会学习 (Learning-to-Learn)”, 指的是在多个学习阶段改进学习算法的过程。 在基础学习过程中, 内部(或下层/基础)学习算法解决由数据集和目标定义的任务。 在元学习过程中,外部(或上层/元)算法更新内部学习算法,使其学习的模型改进外部目标。 因此,元学习的...
Meta-Learning, A Survey 一、概述 通常在机器学习里,我们需要用大量的数据来训练一个模型;当场景发生改变时,模型就需要重新训练。这显然提升了成本,而人类学习方式与此不同,一个小孩子在学习动物的过程中,学习了很多动物的名称,当某次给他看一些没有见过的动物时,他总能很快的将新动物和别的动物区分开。Meta ...
Domain Generalization through Meta-Learning: A Survey Deep neural networks (DNNs) have revolutionized artificial intelligence but often lack performance when faced with out-of-distribution (OOD) data, a common... AG Khoee,Y Yu,R Feldt 被引量: 0发表: 2024年 When Meta-Learning Meets Online and...
arXiv:1810.03548v1[cs.LG]8Oct2018Meta-Learning:ASurveyMeta-Learning:ASurveyJoaquinVanschorenj.vanschoren@tue.nlEindhovenUniversityofTechnology5600MBEindhoven,TheNetherlandsAbstractMeta-learning,orlearningtolearn,isthescienceofsystematicallyobservinghowdifferentmachinelearningapproachesperformonawiderangeoflearningta...
Meta-learning的不同角度解释 本小节从不同角度理解meta-learning,相关资料可以参考这篇meta-learning的survey,介绍的比较全面:Meta-Learning in Neural Networks: A Survey(2020)。下图给出了论文中对于meta-learning的详细分类。 Meta-learning经常被理解为learn to learn,可以分为两个阶段:内循环和外循环。内循环阶...
We first describe the theoretical foundations and pivotal methods of meta-learning. We then divide the employed meta-learning approaches in the healthcare domain into two main categories of multi/single-task learning and many/few-shot learning and survey the studies. Finally, we highlight the ...
In this article, we covered the step-by-step process of implementing “Meta-Learning in Neural Networks: A Survey.” From setting up the environment to defining the model architecture and training loops, we discussed each essential step along with code snippets. I hope this guide helps you get...
1. Meta-learning的不同角度解释 本小节从不同角度理解meta-learning,相关资料可以参考这篇meta-learning的survey,介绍的比较全面:Meta-Learning in Neural Networks: A Survey(2020)。下图给出了论文中对于meta-learning的详细分类。 Meta-learning经常被理解为learn to learn,可以分为两个阶段:内循环和外循环。内循...
In this survey we describe the contemporary meta-learning landscape. We first discuss definitions of meta-learning and position it with respect to related fields, such as transfer learning, multi-task learning, and hyperparameter optimization. We then propose a new taxonomy that provides a more ...