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Jul, 2019
贝叶斯零样本学习
Bayesian Zero-Shot Learning
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Sarkhan Badirli, Murat Dundar, Zeynep Akata
TL;DR
本文提出了一种贝叶斯方法，通过引入元类概念和在类周围实现贝叶斯层次结构，将数据似然性与本地和全局先验相结合，从而在归纳式零样本学习中恢复未见过的类。
Abstract
Object classes that surround us have a natural tendency to emerge at varying levels of abstraction. We propose a
bayesian approach
to
zero-shot learning
(ZSL) that introduces the notion of
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