On the Importance of Attention and Augmentations for Hypothesis Transfer in Domain Adaptation and Generalization.
Rajat SahayGeorgi ThomasChowdhury Sadman JahanMihir ManjrekarDan PoppAndreas E. SavakisPublished in: Sensors (2023)
Keyphrases
- domain adaptation
- cross domain
- transfer learning
- source domain
- target domain
- multiple sources
- knowledge transfer
- semi supervised
- labeled data
- transfer knowledge
- sentiment classification
- manifold alignment
- document classification
- semi supervised learning
- concept space
- machine learning
- covariate shift
- learning tasks
- learning algorithm
- data sets
- test data
- text categorization
- sentiment analysis
- e government
- general purpose
- pairwise
- training set
- databases