Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations.
Jiaheng WeiZhaowei ZhuHao ChengTongliang LiuGang NiuYang LiuPublished in: ICLR (2022)
Keyphrases
- real world
- empirical studies
- learning algorithm
- learning systems
- language acquisition
- computer assisted instruction
- elementary school
- data sets
- unsupervised learning
- high school students
- learning analytics
- human experts
- machine learning
- knowledge acquisition
- supervised learning
- prior knowledge
- learning process
- reinforcement learning
- online learning
- learning objects
- learning tasks
- active learning
- image annotation
- undergraduate students
- individual differences
- pairwise
- training set
- human learning
- positive effects