Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space.
Beomsoo KimJang-Ho ChoiJaegul ChooPublished in: ACML (2021)
Keyphrases
- latent space
- high dimensional
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- lower dimensional
- parameter space
- feature space
- matrix factorization
- generative model
- gaussian processes
- manifold learning
- distance metric
- data points
- probabilistic latent semantic analysis
- transfer learning
- gaussian process latent variable models
- high dimensional data
- probabilistic model
- gaussian mixture
- machine learning algorithms
- data sets
- distance measure
- nearest neighbor
- active learning
- search space
- data analysis