A Survey of Examples of Convex Functions and Classifications of Normed SpacesThis paper represents a slightly extended version of the eponymous talk given at the VII Colloque Franco-Allemand d'Optimisation . My aim is to illustrate the tight connection between the sequential properties of a Banach ...
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参考文献 Generalizing from a Few Examples: A Survey on Few-Shot Learning Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Learning to learn by gradient descentby gradient descent
上一篇:A Survey on Few-Shot Learning | Introduction and Overview 本节中的FSL方法使用先验知识来增强数据DtrainDtrain,从而丰富了E中的监督信息。(图4)。 Data augmentation via hand-crafted rules is usually used as pre-processing in FSL methods. They can introduce different kinds of invariance for t...
A Survey on Transferability of Adversarial Examples across Deep Neural Networksarxiv.org/abs/2310.17626 摘要 深度神经网络(DNN)的出现彻底改变了各个领域,使图像识别、自然语言处理和科学问题解决等复杂任务的解决成为可能。然而,这一进展也暴露了一个令人担忧的脆弱性:对抗性示例。这些精心制作的输入,人类无法...
Generalizing from a Few Examples: A Survey on Few-Shot Learning 论文地址:https://arxiv.org/pdf/1904.05046v2.pdf 这篇概述很简洁:https://www.cnblogs.com/jiangxinyang/p/12163215.html 一、 摘要 机器学习在有大量数据支撑的时候的效果很好,但是数据量很少的时候效果很差了。Fewshot learning是针对于这个...
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论文阅读:Generalizing from a Few Examples - A Survey on Few-Shot Learning 2020,发布时间:2020机器学习在数据密集型应用中取得了成功,但在数据集很少时,常常受到阻碍。符号和术语考虑学习任务T,FSL处理数据集D={Dtrain,Dtest},其中包含训练集Dtrain={(xi,yi)}Ii=
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