Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space.
Mahsa Mozafari-NiaSalimeh Yasaei SekehPublished in: CoRR (2024)
Keyphrases
- latent space
- neural network
- latent variable models
- gaussian process latent variable models
- generative model
- latent variables
- low dimensional
- probabilistic model
- gaussian process
- lower dimensional
- high dimensional
- feature space
- dimensionality reduction
- em algorithm
- probabilistic latent semantic analysis
- manifold learning
- bayesian networks
- gaussian processes
- gaussian mixture
- matrix factorization
- transfer learning
- mixture model
- parameter space
- pattern recognition