Negative Sampling in Semi-Supervised learning.
John ChenVatsal ShahAnastasios KyrillidisPublished in: ICML (2020)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- machine learning
- supervised learning
- unsupervised learning
- positive and negative
- random sampling
- labeled examples
- active learning
- semi supervised classification
- co training
- semi supervised learning algorithms
- learning problems
- multi view semi supervised learning
- manifold regularization
- sample size
- improve the classification accuracy
- semi supervised learning methods
- graph based semi supervised learning
- transfer learning
- label propagation
- learning models
- multiple instance learning
- domain adaptation
- image segmentation
- information retrieval
- natural language processing
- labeled and unlabeled data
- pairwise
- multi view learning
- training data