Biased Extrapolation in Latent Space forImbalanced Deep Learning.
Suhyeon JeongSeungkyu LeePublished in: MLMI@MICCAI (2021)
Keyphrases
- deep learning
- latent space
- latent variables
- low dimensional
- dimensionality reduction
- unsupervised learning
- gaussian process
- lower dimensional
- generative model
- matrix factorization
- manifold learning
- parameter space
- machine learning
- feature space
- gaussian processes
- high dimensional
- transfer learning
- weakly supervised
- probabilistic latent semantic analysis
- mental models
- high dimensional data
- random variables
- collaborative filtering
- supervised learning
- image features
- probabilistic model
- active learning
- recommender systems
- feature selection
- computer vision