Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data.
Yu-Ming TangYi-Xing PengWei-Shi ZhengPublished in: CoRR (2022)
Keyphrases
- incremental learning
- semi supervised
- supervised learning
- unlabeled data
- semi supervised learning
- active learning
- learning process
- co training
- learning algorithm
- incremental learning algorithm
- labeled data
- unlabeled samples
- batch learning
- domain adaptation
- training data
- machine learning
- sample selection bias
- semi supervised classification
- training examples
- learning problems
- transductive learning
- prior knowledge
- text categorization
- labeled and unlabeled data
- text classification
- learning frameworks
- learning tasks
- labeled examples
- pairwise
- positive examples
- data points
- iterative learning
- unsupervised learning
- training set
- multi view