How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
Shuai ZhangMeng WangSijia LiuPin-Yu ChenJinjun XiongPublished in: ICLR (2022)
Keyphrases
- unlabeled data
- semi supervised learning
- co training
- theoretical analysis
- semi supervised
- hidden layer
- labeled data
- semi supervised classification
- supervised learning
- training set
- active learning
- labeled and unlabeled data
- back propagation
- neural network
- text categorization
- training data
- learning algorithm
- multi view
- feed forward
- unsupervised learning
- multilayer perceptron
- single view
- class labels
- learning rate
- training examples
- machine learning
- radial basis function
- text classification
- artificial neural networks
- recurrent neural networks
- prior knowledge
- data points
- bp neural network
- information retrieval