We propose to directly compute classification estimates by learning features encoded with their class scores. Our resulting model has a encoder-decoder structure suitable for supervised learning, it is computationally efficient and performs well for classification on several datasets.

翻译：我们建议直接计算分类估计,方法是通过与其班级分数编码的学习特征来直接计算分类估计。 我们产生的模型有一个适合监督学习的编码器解码器结构,它具有计算效率,在几个数据集的分类方面表现良好。