Visualization and Interpretation of Latent Space in Deep Learning.
Mizuki DaiKenya Jin'noPublished in: HCI (7) (2024)
Keyphrases
- feature extraction
- deep learning
- latent space
- dimensionality reduction
- unsupervised learning
- manifold learning
- feature space
- low dimensional
- latent variables
- lower dimensional
- principal component analysis
- machine learning
- gaussian process
- high dimensional data
- generative model
- gaussian processes
- mental models
- parameter space
- high dimensional
- weakly supervised
- matrix factorization
- data analysis
- transfer learning
- distance metric
- probabilistic latent semantic analysis
- natural images
- text mining
- data sets