Generative Adversarial Nets

Ian Goodfellow, J. P., Mirza, M., Xu, B., Warde-Farley, D., & Ozair, S. (2014). Generative Adversarial Nets.

Type

Unclassified

Intellectual base

Unclassified

Year

2014

Link

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Cited by

2 citations across 2 artifacts.

Domain-specific

• Generative adversarial network
  • GAN denotes the adversarial two-model training game rather than every generator, objectives and divergences vary, equilibrium is idealized and training can suffer instability mode collapse and discriminator overfitting.
• Mode collapse
  • A generator can repeatedly map many latent inputs to similar outputs because the training objective rewards locally convincing samples without adequately penalizing omitted regions of the data distribution.

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