Siamese Network

Backlinks

• [[unsupervised-language-translation]]
  • Altogether, what you get is a pretty cute autoencoder architecture. Essentially, what you’re doing is training something like a [[siamese-network]]; you have the shared encoder, and then two separate decoders for each language. During training, you’re basically doing normal autoencoding, and then during inference, you just flip – cute!