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Feb, 2018
基于注意力机制的深度多示例学习
Attention-based Deep Multiple Instance Learning
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Maximilian Ilse, Jakub M. Tomczak, Max Welling
TL;DR
本文提出了一种基于神经网络的置换不变聚合运算符，并展示了其在多个MIL数据集上的实验表现，特别是在两个真实组织病理学数据集上的表现，同时保持了可解释性。
Abstract
multiple instance learning
(MIL) is a variation of
supervised learning
where a single class label is assigned to a bag of instances. In this paper, we state the MIL problem as learning the Bernoulli distribution
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