Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning.
Tong LiuShakeel AlibhaiJinzhen WangQing LiuXubin HeChentao WuPublished in: NAS (2019)
Keyphrases
- transfer learning
- machine learning
- data analysis
- data sets
- knowledge discovery
- labeled data
- learning tasks
- training data
- semi supervised learning
- supervised learning
- machine learning algorithms
- training examples
- training samples
- unlabeled data
- active learning
- collaborative filtering
- unsupervised learning
- support vector machine
- data points
- reinforcement learning
- bayesian networks
- feature extraction
- artificial intelligence
- information retrieval
- knowledge transfer
- cross domain
- structure learning