Unsupervised Discovery of Interpretable Directions in the GAN Latent Space.
Andrey VoynovArtem BabenkoPublished in: CoRR (2020)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- parameter space
- dimensionality reduction
- lower dimensional
- generative model
- manifold learning
- high dimensional
- feature space
- matrix factorization
- gaussian processes
- transfer learning
- gaussian process latent variable models
- high dimensional spaces
- probabilistic latent semantic analysis
- probabilistic model
- gaussian mixture
- image processing
- distance metric
- high dimensional data
- nearest neighbor
- regression model
- sparse representation
- semi supervised
- data points
- prior knowledge
- data sets