Dual Learning: Theoretical Study and an Algorithmic Extension

ACML, pp. 321-336, 2020.

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Abstract:

Dual learning has been successfully applied in many machine learning applications including machine translation, image-to-image transformation, etc. The high-level idea of dual learning is very intuitive: if we map an $x$ from one domain to another and then map it back, we should recover the original $x$. Although its effectiveness has ...More

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