Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning.
Toan Pham VanTam Minh NguyenNgoc N. TranHoai Viet NguyenLinh Doan BaoHuy Dao QuangTa Minh ThanhPublished in: CoRR (2021)
Keyphrases
- latent space
- supervised learning
- generative model
- gaussian process latent variable models
- unsupervised learning
- latent variables
- parameter space
- low dimensional
- probabilistic model
- semi supervised learning
- reinforcement learning
- machine learning
- gaussian process
- dimensionality reduction
- active learning
- high dimensional data
- transfer learning
- distance metric
- training data
- learning tasks
- feature space
- matrix factorization
- gaussian processes
- lower dimensional
- learning algorithm