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Code for the paper Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation

Python 100.00%

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MMER

Code for the paper Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation.

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mmer's Issues

关于loss.backward(retain_graph=true)显示cuda memory error的问题

您好,我在运行代码到loss.backward(retain_graph=true)的时候,发现cuda memory error的问题,查找之后发现应该是计算图一直没有得到释放导致显存报错,就算将batch_size设置的很小也没有效果。在硬件设备有限的情况下,请问是否能将代码中的loss1.backward(retain_graph=true)和loss2.backward(retain_graph=true)改为total_loss = loss1 + loss2, total_loss.backward?这样虽然不会再报cuda memory error,但是我不知道这和您精巧设置的训练结构是否是等价的。期待您的回答!
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关于NEMu数据集的使用

您好!很高兴接触到您的项目。想请问一下有没有NEMu数据集的文件可以提供下载?需要对数据集包进行什么样的处理?

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