Representing Deep Neural Networks Latent Space Geometries with Graphs.
Carlos LassanceVincent GriponAntonio OrtegaPublished in: CoRR (2020)
Keyphrases
- latent space
- neural network
- latent variables
- low dimensional
- dimensionality reduction
- gaussian process
- pattern recognition
- lower dimensional
- high dimensional
- parameter space
- manifold learning
- feature space
- gaussian processes
- matrix factorization
- transfer learning
- probabilistic latent semantic analysis
- high dimensional data
- generative model
- gaussian process latent variable models
- distance metric
- active learning
- machine learning