Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.
Yingxiu ZhaoZhiliang TianHuaxiu YaoYinhe ZhengDongkyu LeeYiping SongJian SunNevin L. ZhangPublished in: CoRR (2022)
Keyphrases
- meta learning
- text classification
- feature selection
- learning tasks
- machine learning
- inductive learning
- meta knowledge
- model selection
- machine learning algorithms
- text mining
- multi label
- labeled data
- text categorization
- decision trees
- transfer learning
- naive bayes
- base classifiers
- supervised learning
- reinforcement learning
- metamodel
- k nearest neighbor
- databases
- unlabeled data
- classification accuracy
- class labels
- bayesian networks
- cost sensitive
- learning algorithm
- data mining