论文标题
辅助学习是迈向人工通用情报的一步
Auxiliary Learning as a step towards Artificial General Intelligence
论文作者
论文摘要
辅助学习是一种机器学习方法，该模型承认不在其任何学习类别的对象的存在中。由于引入了辅助类别，因此选择了辅助学习名称。本文着重于增加现有狭窄目的神经网络的通用性，并突出了处理未知对象的必要性。猫和狗二进制分类器以整本论文为例。
Auxiliary Learning is a machine learning approach in which the model acknowledges the existence of objects that do not come under any of its learned categories.The name Auxiliary learning was chosen due to the introduction of an auxiliary class. The paper focuses on increasing the generality of existing narrow purpose neural networks and also highlights the need to handle unknown objects. The Cat & Dog binary classifier is taken as an example throughout the paper.
