Learning to Compare: Relation Network for Few-Shot Learning Few-Shot Text Classification with Induction Network
本文先介绍 Few-shot Learning 定义;由于最近几年 Few-shot Learning 在图像领域的进展领先于在自然语言处理领域,所以第二部分结合其在图像处理领域的研究进展,详细介绍 Few-shot Learning 的三类典型方法及每种方法的代表性模型;接下来介绍在自然语言处理领域的研究进展以及我们对 metric-based 的方法进行系统总结后提...
本文先介绍 Few-shot Learning 定义;由于最近几年 Few-shot Learning 在图像领域的进展领先于在自然语言处理领域,所以第二部分结合其在图像处理领域的研究进展,详细介绍 Few-shot Learning 的三类典型方法及每种方法的代表性模型;接下来介绍在自然语言处理领域的研究进展以及我们对 metric-based 的方法进行系统总结后提...
Meta-learning for semi- supervised few-shot classification, in ICLR, 2018. M. Ren, S. Ravi, ...
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 ...
公众号 AI末班车:小样本学习(Few-shot Learning)综述(一) 该文已同步发布在:小样本学习(Few-shot Learning)综述(二) 论文题目:《Generalizing from a Few Examples: A Survey on Few-Shot Learning》 该论文出自香港科技大学。 三、数据 FSL(Few-shot Learning)利用先验知识来增加训练数据集。
Adaptive Cross-Modal Few-shot Learning 2019 论文地址:https://arxiv.org/pdf/1902.07104.pdf简介:图文和视频多模融合,conbine通过系数(自适应混合系数,其实就是文本侧的embeddng通过sigmod得到的),整体利用原型网络。网络结构: Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification论文地...
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......
摘要: Due 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...关键词: Convolutional neural networks Deep learning Few-shot learning Text classification ...