Disentangling the Latent Space of (Variational) Autoencoders for NLP.
Gino BrunnerYuyi WangRoger WattenhoferMichael WeigeltPublished in: UKCI (2018)
Keyphrases
- latent space
- latent variables
- natural language processing
- low dimensional
- gaussian process
- dimensionality reduction
- denoising
- lower dimensional
- latent variable models
- generative model
- feature space
- manifold learning
- gaussian processes
- information extraction
- parameter space
- matrix factorization
- gaussian process latent variable models
- transfer learning
- high dimensional
- image segmentation
- distance metric
- probabilistic latent semantic analysis
- natural language
- question answering
- text mining
- high dimensional spaces
- gaussian mixture
- high dimensional data
- machine learning
- higher dimensional
- probabilistic model