Using latent space regression to analyze and leverage compositionality in GANs.
Lucy ChaiJonas WulffPhillip IsolaPublished in: ICLR (2021)
Keyphrases
- latent space
- gaussian processes
- gaussian process
- latent variables
- regression model
- low dimensional
- lower dimensional
- machine learning
- parameter space
- feature space
- data sets
- model selection
- generative model
- probability distribution
- transfer learning
- active learning
- matrix factorization
- data analysis
- keywords
- training data