Supervised Domain Adaptation by transferring both the parameter set and its gradient.
Shaya GoodmanHayit GreenspanJacob GoldbergerPublished in: Neurocomputing (2023)
Keyphrases
- domain adaptation
- parameter set
- semi supervised
- transfer learning
- labeled data
- semi supervised learning
- cross domain
- learning algorithm
- multiple sources
- target domain
- supervised learning
- genetic algorithm
- unsupervised learning
- unlabeled data
- learning tasks
- document classification
- multi view
- test data
- label information
- pairwise
- active learning
- parameter settings
- co training
- sentiment classification
- training data
- machine learning algorithms
- databases
- manifold alignment
- reinforcement learning
- feature selection
- pos taggers
- training examples
- pos tagging
- covariate shift
- knowledge transfer
- text classification
- simulated annealing
- probabilistic model
- machine learning
- neural network