Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model.
Pascal SchlachterSimon WagnerBin YangPublished in: CoRR (2024)
Keyphrases
- gaussian mixture model
- memory efficient
- domain adaptation
- multiple sources
- target domain
- mixture model
- cross domain
- transfer learning
- labeled data
- feature vectors
- em algorithm
- background subtraction
- maximum likelihood
- semi supervised
- unlabeled data
- expectation maximization
- test data
- sentiment classification
- semi supervised learning
- active learning
- information retrieval
- domain specific
- image segmentation
- image processing
- unsupervised learning
- model selection
- information extraction
- bayesian networks
- training data
- machine learning