MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence.
Hongduan TianFeng LiuTongliang LiuBo DuYiu-ming CheungBo HanPublished in: CoRR (2024)
Keyphrases
- cross domain
- cross domain learning
- support vector
- cross domain text classification
- domain adaptation
- feature space
- sentiment classification
- feature vectors
- transfer learning
- text categorization
- data mining
- knowledge transfer
- machine learning algorithms
- decision trees
- kernel methods
- feature extraction
- machine learning
- unsupervised learning
- visual features
- model selection
- video data
- natural language processing
- information extraction
- test data
- feature selection
- kernel machines
- multiple domains
- neural network