Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning.
Toan Pham VanTam Minh NguyenNgoc N. TranHoai Viet NguyenLinh Doan BaoHuy Dao QuangThanh Ta MinhPublished in: ACOMP (2020)
Keyphrases
- latent space
- supervised learning
- generative model
- gaussian process latent variable models
- unsupervised learning
- latent variables
- lower dimensional
- low dimensional
- gaussian process
- training data
- parameter space
- machine learning
- high dimensional
- semi supervised
- semi supervised learning
- data sets
- gaussian processes
- learning algorithm
- dimensionality reduction
- active learning
- reinforcement learning
- unlabeled data
- probability density function
- matrix factorization
- gaussian mixture
- prior knowledge
- training set
- probabilistic latent semantic analysis
- bayesian networks