f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization.
Sebastian NowozinBotond CsekeRyota TomiokaPublished in: CoRR (2016)
Keyphrases
- neural network
- image segmentation
- recurrent networks
- network architecture
- training phase
- generative model
- training samples
- training examples
- discriminative classifiers
- training set
- optical flow
- supervised learning
- discriminative training
- discriminatively trained
- variational framework
- regularization term
- training algorithm
- training process
- unsupervised learning
- objective function