Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification.
Yuqing HuStéphane PateuxVincent GriponPublished in: AISTATS (2023)
Keyphrases
- dimension reduction
- feature extraction
- variational inference
- high dimensional
- principal component analysis
- low dimensional
- high dimensionality
- high dimensional data
- feature space
- singular value decomposition
- text classification
- linear discriminant analysis
- feature selection
- dimensionality reduction
- decision trees
- preprocessing
- unsupervised learning
- pattern recognition
- support vector
- bayesian inference
- feature vectors
- video sequences
- gaussian process
- information extraction
- neural network
- topic models
- closed form
- cluster analysis
- similarity measure
- machine learning