# What do they mean by “contradictory loss”?

In page 4 of the paper https://arxiv.org/pdf/2009.07047v1.pdf, it says the encoder $$E_{R,X}$$ of $$VAE_1$$ tries to fool the discriminator with a contradictory loss to ensure that $$R$$ and $$X$$ are mapped to the same space. What do they mean by "contradictory loss"?

The contradictory loss is the same loss function that the discriminator would normally use, except with deliberately incorrect labels. That is, when you train the generator, the output of the generator is fed to the discriminator, but instead of the correct label (typically $$0$$ for a false image), the opposite label is applied (e.g. $$1$$ for a real image).