Smoothing the Generative Latent Space with Mixup-based Distance Learning.
Chaerin KongJeesoo KimDonghoon HanNojun KwakPublished in: CoRR (2021)
Keyphrases
- distance learning
- latent space
- generative model
- gaussian process latent variable models
- distance education
- latent variables
- low dimensional
- learning process
- high dimensional
- e learning
- gaussian process
- higher education
- dimensionality reduction
- mixture model
- feature space
- probabilistic model
- lower dimensional
- parameter space
- manifold learning
- gaussian processes
- matrix factorization
- bayesian framework
- probabilistic latent semantic analysis
- online learning
- prior knowledge
- transfer learning
- distance metric
- data sets
- gaussian mixture
- topic models
- high dimensional data
- data points
- semi supervised
- co occurrence
- feature extraction
- em algorithm
- high dimensional spaces
- face recognition
- nearest neighbor