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attention-pytorch's Issues

关于观察信息的来源

看到观察中提到以下两点，想了解下是哪篇paper中的

多步负荷预测
多任务多输出模型，每步预测对于特征的关注点应该不一样，学习一个feature mapping 的mask attention。

异常数据mask负荷预测
在原始feature mapping 后接一个attention，自动mask 异常输入，提升模型的鲁棒性。

seek for GAN code

Excuse me, where is the code for using GAN network, I can’t find it

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