ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation.
Wenwen ZhangJiangong WangYutong WangFei-Yue WangPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- learning tasks
- reinforcement learning
- learning algorithm
- data sets
- learning process
- invariant features
- learning analytics
- image processing
- learning systems
- image analysis
- knowledge acquisition
- feature vectors
- unsupervised learning
- active learning
- viewpoint
- learning environment
- decision trees
- computer vision
- neural network