DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.
Ziyu JiangTianlong ChenXuxi ChenYu ChengLuowei ZhouLu YuanAhmed Hassan AwadallahZhangyang WangPublished in: ECCV (20) (2022)
Keyphrases
- transfer learning
- low rank
- manifold alignment
- semi supervised
- labeled data
- matrix factorization
- learning tasks
- missing data
- linear combination
- knowledge transfer
- convex optimization
- collaborative filtering
- singular value decomposition
- source domain
- cross domain
- active learning
- semi supervised learning
- machine learning
- domain adaptation
- high dimensional data
- kernel matrix
- machine learning algorithms
- reinforcement learning
- target domain
- unlabeled data
- transfer knowledge
- high order
- video sequences
- multi task
- learning algorithm
- text classification
- text categorization
- unsupervised learning
- markov random field
- text mining
- principal component analysis
- supervised learning
- multi class
- support vector machine
- recommender systems
- data analysis
- image processing
- group sparsity