BriefGPT.xyz
Aug, 2019
TGG:零样本学习和少样本学习的可转移图生成
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
HTML
PDF
Chenrui Zhang, Xiaoqing Lyu, Zhi Tang
TL;DR
提出一种Transferable Graph Generation方法应用于zero-shot/few-shot学习领域,采用显式的图生成建模来解决隐式方法的关系不充分的问题。通过由一个基于注意力机制的图生成网络和一个关系核心生成与学习充分,从而实现对未知领域的知识迁移。
Abstract
Zero-shot and
few-shot learning
aim to improve generalization to unseen concepts, which are promising in many realistic scenarios. Due to the lack of data in unseen domain,
relation modeling
between seen and unse
→