Transfer Learning using Transformation: Is Large Unlabeled Data Helpful at Segmentation?
Heejeong LimSeongwook YoonSanghoon SullPublished in: ICTC (2020)
Keyphrases
- transfer learning
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- active learning
- learning tasks
- labeled examples
- knowledge transfer
- text classification
- co training
- supervised learning
- domain adaptation
- training data
- target domain
- text categorization
- class labels
- image segmentation
- labeled and unlabeled data
- learning algorithm
- multi task learning
- cross domain
- labeled training data
- transfer knowledge
- multi task
- machine learning
- data points
- unsupervised learning
- multi view learning
- training and test data
- pairwise
- label information
- data sets
- machine learning algorithms
- source domain
- sample selection bias
- decision boundary
- learning problems
- training examples
- text mining
- training set
- association rules
- reinforcement learning
- data mining