SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning.
Haiwen DiaoBo WanXu JiaYunzhi ZhugeYing ZhangHuchuan LuLong ChenPublished in: CoRR (2024)
Keyphrases
- collaborative filtering
- transfer learning
- resource limited
- high accuracy
- learning tasks
- cross domain
- knowledge transfer
- activity recognition
- manifold alignment
- domain adaptation
- cost effective
- machine learning
- embedded systems
- transfer knowledge
- data sets
- machine learning algorithms
- cross domain learning
- text categorization
- unlabeled data
- text mining
- software engineering
- active learning
- learning environment
- training data
- case study
- decision trees
- feature selection
- artificial intelligence