This article reviews meta-learning also known as learning-to-learn which seeks rapid and accurate model adaptation to unseen tasks with applications in strong AI, few-shot learning, natural language processing and robotics. Unlike deep learning, meta-learning can be applied to few-shot high-...
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 ...
D_{\mathcal{T}_{j}}^{t e s t}\right)和一个未知的输入向量\boldsymbol{x} \in D_{\mathcal{T}_{j}}^{\text {test }},在y类上的概率分布作为来自支撑集D_{\mathcal{T}_{j}}^{t r}的标签的加权组合来计算/预测,使用相似核,即: ...
Meta-Learning: A SurveyAuthor:Joaquin Vanschoren, Eindhoven University of Technology Published in:arXiv 1810 原文链接 https://arxiv.org/pdf/1810.03548.pdfAbstract元学习,即“学习如何学习”,系统的观…
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where a given task is solved from scratch using a fixed learning algorithm, meta-learning aims to improve the learning algorithm itself, given the...
Recent Advances in SQL Query Generation: A Survey.International Conference on Informatics and Information Technologies 2020paperbib Jovan Kalajdjieski, Martina Toshevska, Frosina Stojanovska Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation.Journal ...
Yet, some disagreement remains on what does or what does ... C Lemke,M Budka,B Gabrys - 《Artificial Intelligence Review》 被引量: 79发表: 2015年 Metalearning: a survey of trends and technologies Metalearning attracted considerable interest in the machine learning community in the last years....
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. arXiv 2021 paper bib Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria Utterance-level Dialogue Understanding: An Empirical Study. arXiv 2020 paper bib Deepanway Ghosal, Navonil Majumder, Ra...
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 ...
内容提示: A Survey of Meta-Reinforcement LearningJacob Beck ∗jacob.beck@cs.ox.ac.ukUniversity of OxfordRisto Vuorio ∗risto.vuorio@cs.ox.ac.ukUniversity of OxfordEvan Zheran Liuevanliu@cs.stanford.eduStanford UniversityZheng Xiongzheng.xiong@cs.ox.ac.ukUniversity of OxfordLuisa Zintgraf ...