Comments (1)
您好,我们通过人工超参数平衡几个损失项。
首先CL loss是对性能提升最大的损失项,Dual prediction loss的训练需要表征已具备一定的判别性,同时实验发现Dual prediction和Reconstruction loss的拟合非常容易,因此我们把Dual loss 和Reconstruction loss的权重设置的较小。
from 2021-cvpr-completer.
Related Issues (11)
- Require supplementary material HOT 1
- Dear author, it seems that this code can only execute two view data. Do you have a multi view version? HOT 3
- about the missing rate HOT 11
- a typo in the Autoencoder class HOT 1
- Why is Gaussian distribution? HOT 2
- about baseline AE2-Nets HOT 1
- 关于自动编码器层 HOT 4
- 关于损失函数 HOT 5
- 关于NoisyMNIST数据集的第一个view HOT 1
- 最大化互信息和对比学习的相关实验 HOT 2
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