Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework.
Shageenderan SapaiJunn Yong LooZe Yang DingChee Pin TanRaphael CW PhanVishnu Monn BaskaranSurya Girinatha NurzamanPublished in: CoRR (2023)
Keyphrases
- cross domain
- transfer learning
- labeled data
- variational bayes
- cross domain text classification
- cross domain learning
- semi supervised
- semi supervised learning
- domain adaptation
- knowledge transfer
- text categorization
- learning tasks
- sentiment classification
- target domain
- unlabeled data
- machine learning
- reinforcement learning
- structure learning
- multi task
- active learning
- bayesian inference
- latent variables
- machine learning algorithms
- probabilistic model
- posterior distribution
- labeled and unlabeled data
- source domain
- neural network
- data sets
- label information
- similarity measure
- training data
- em algorithm
- supervised learning
- high dimensional