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Aug, 2023
测试时间具备性能保证的分布偏移缓解
Distribution shift mitigation at test time with performance guarantees
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Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie
TL;DR
本研究提出了一种名为FR-GNN的通用框架,用于进行特征重构,并在测试时间内将这些重构特征整合到GNN的消息传递机制中,从而有效降低分布转移并提高测试性能。
Abstract
Due to inappropriate sample selection and limited training data, a
distribution shift
often exists between the training and test sets. This shift can adversely affect the
test performance
of
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