In the paper of Universal Sentence Encoder (USE), the author mentions it to be trained using transfer learning in an unsupervised manner in two forms:
1. Using Deep Averaging Network (DAN)
2. Using Transformers

I am confused how the USE is trained using DAN since DAN is trained in a supervised setting. It will great if someone can explain the training process.

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