f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization.
Sebastian NowozinBotond CsekeRyota TomiokaPublished in: NIPS (2016)
Keyphrases
- recurrent networks
- generative model
- image segmentation
- objective function
- discriminative training
- training examples
- unsupervised learning
- training samples
- neural network
- training algorithm
- random sampling
- biologically inspired
- training process
- markov chain monte carlo
- prior knowledge
- artificial neural networks
- conditional likelihood