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