Interpreting the Latent Space of GANs via Measuring Decoupling.
Ziqiang LiRentuo TaoJie WangFu LiHongjing NiuMingdao YueBin LiPublished in: IEEE Trans. Artif. Intell. (2021)
Keyphrases
- latent space
- latent variables
- low dimensional
- lower dimensional
- dimensionality reduction
- gaussian process
- generative model
- parameter space
- gaussian processes
- matrix factorization
- high dimensional
- manifold learning
- feature space
- transfer learning
- probabilistic latent semantic analysis
- distance metric
- feature selection
- gaussian process latent variable models
- high dimensional data
- random variables
- gaussian mixture
- principal component analysis
- data points
- recommender systems
- pattern recognition