首先在给定的测试时的support set,support set是一个C个类别(原则上这C个类别和train set中的M个类别是不相交的,这样才符合one-shot learning的本质),且每个类别下只有一个样本的数据集,现在给定一个query,将query和support set中的样本输入到孪生网络中,得到query和每个样本之间的概率分数,在这里因为是one-shot,...
Few-shot Learning 是 Meta Learning 在监督学习领域的应用。Meta Learning,又称为 learning to learn,在 meta training 阶段将数据集分解为不同的 meta task,去学习类别变化的情况下模型的泛化能力,在 meta testing 阶段,面对全新的类别,不需要变动已有的模型,就可以完成分类。 形式化来说,few-shot 的训练集中...
Few-shot Learning 是Meta Learning 在监督学习领域的应用。Meta Learning,又称为 learning to learn,在 meta training 阶段将数据集分解为不同的 meta task,去学习类别变化的情况下模型的泛化能力,在 meta testing 阶段,面对全新的类别,不需要变动已有的模型,就可以完成分类。 形式化来说,few-shot 的训练集中包含...
Meta-learning for semi- supervised few-shot classification, in ICLR, 2018. M. Ren, S. Ravi, ...
zero-shot learning/one-shot learning/few-shot learning 都是meta learning领域的一个分支,meta learning在计算机视觉领域的研究相对成熟,但是在NLP领域,尚处于发展阶段。 笑个不停:few-shot learning/one-s…
【13】Few-Shot Transfer Learning for Text Classification With Lightweight Word Embedding Based Models...
简介:和Few-Shot Text Classification with Induction Network区别是编码模块使用bert-base,增加了pretrained的监督学习阶段。 网络结构: Pre-trained Encoder: 预训练+监督学习到类别向量,当做memory,后面跟着finetune。 Dynamic Memory Module: 运行memory对supportset的sample进行编码 ...
An IT professional with a keen interest in delving into the realm of Machine Learning. Read my storiesLearn More TOPICS machine-learning #ai #machine-learning #setfit #few-shot-learning #nlp #sentence-transformers #few-shot #setfit-for-text-classification THIS ARTICLE WAS FEATURED IN... ...
6.Evolving Losses for Unsupervised Video Representation Learning(无监督视频表示学习的损失演化)CVPR2020 论文地址: 7.Few-shot acoustic event detection via meta-learning(元学习的小概率语音事件检测)ICASSP 2020 论文地址: 8.Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation(跨域小样...
Deep learningFew-shot learningText classificationDue to the limited length and freely constructed sentence structures, it is a difficult classification task for short text classification. In this paper, a short text classification framework based......