Dual discriminator GANs are generalized to alpha-loss and arbitrary loss functions, with the training objective provably reducing to a combination of an f-divergence and its reverse.
Generative adversarial nets,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Generalized Dual Discriminator GANs
Dual discriminator GANs are generalized to alpha-loss and arbitrary loss functions, with the training objective provably reducing to a combination of an f-divergence and its reverse.