Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience.
Bhavya GhaiQ. Vera LiaoYunfeng ZhangRachel K. E. BellamyKlaus MuellerPublished in: CoRR (2020)
Keyphrases
- active learning
- experimental design
- random sampling
- learning strategies
- high impact
- learning process
- semi supervised
- supervised learning
- selective sampling
- labeled data
- unlabeled data
- training examples
- personal experiences
- neural network
- cost sensitive
- pairwise
- knowledge base
- search engine
- artificial intelligence
- genetic algorithm