Unsupervised Discovery of Interpretable Directions in the GAN Latent Space.
Andrey VoynovArtem BabenkoPublished in: ICML (2020)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- lower dimensional
- generative model
- high dimensional
- parameter space
- feature space
- probabilistic latent semantic analysis
- manifold learning
- distance metric
- matrix factorization
- gaussian processes
- gaussian process latent variable models
- high dimensional spaces
- transfer learning
- probabilistic model
- pairwise
- gaussian mixture
- pattern recognition
- bayesian networks
- regression model
- high dimensional data
- em algorithm
- data points