Meta-parameterization:记对f_\theta的参数化形式为meta-parameterization,包含以下的常见方法:① Parameterized policy gradient:将现有的PG算法结构结合进f_\theta中;② Black box:几乎不对f_\theta中引入任何结构;③ Task inference: 显式的将f_\theta参数化为推断任务的结构 Exploration:在few-shot setting下,adapt...
Meta-Learning: A Survey Author: Joaquin Vanschoren, Eindhoven University of Technology Published in: arXiv 1810 原文链接 arxiv.org/pdf/1810.0354 Abstract 元学习,即“学习如何学习”,系统的观察不同机器学习方法如何在广泛的学习任务中执行,然后从这种经验(“元数据”,meta-data)中学习,从而比其他方法更快...
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 ...
A Survey of Deep Meta-Learning的文章结构分为三部分 理论基础。 总结和归纳关键的方法,这些方法主要分为以下三种: 基于度量的方法。 基于模型的方法。 基于优化的方法。 未来挑战。 本文说明 由于原论文篇幅很长,内容很丰富,在本推文中无法全部给大家展现出来,所以本文只挑选了原论文中比较重要和核心的内容进行介...
MetaSeg: A survey of meta-learning for image segmentationDeep learningImage segmentationMeta-learningdoi:10.1016/j.cogr.2021.06.003Jiaxing SunYujie LiCognitive RoboticsCognitive Robotics
Big data-driven deep learning methods have been widely used in image or video segmentation. However, in practical applications, training a deep learning model requires a large amount of labeled data, which is difficult to achieve. Meta-learning, as one of the most promising research areas in th...
Meta-learning is one approach to address this issue, by enabling the network to learn how to learn. The field of Deep Meta-Learning advances at great speed, but lacks a unified, in-depth overview of current techniques. With this work, we aim to bridge this gap. After providing the ...
The second part provides a survey ofmeta-learning as reported by the machine-learning literature. We find that, despite differentviews and research lines, a question remains constant: how can we exploit knowledge aboutlearning (i.e. meta-knowledge) to improve the performance of learning algorithms...
A survey of deep meta-learning作者:Mike Huisman, Jan N. van Rijn, Aske Plaat 摘要 Deep neural networks can achieve great successes when presented with large data sets and sufficient computational resources. However, their ability to learn new concepts quickly is limited. Meta-learning is one app...
这篇博文是对“Meta-Learning in Neural Networks: A Survey”的阅读理解与总结,此文综述了元学习的最新研究进展,对元学习初学者了解此领域有极大的参考价值。 近年来,人们对元学习的兴趣急剧上升。与传统的Al方法不同,元学习的目的是改进学习算法本身,考虑到多个学习阶段的经验。这个范例提供了一个机会来解决深度学...