Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

AISTATS, pp. 1828-1836, 2021.

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Abstract:

Cycle-consistent training is widely used for jointly learning a forward and inverse mapping between two domains of interest without the cumbersome requirement of collecting matched pairs within each domain. In this regard, the implicit assumption is that there exists (at least approximately) a ground-truth bijection such that a given in...More

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