Retraining Quantized Neural Network Models with Unlabeled Data.
Kundjanasith ThonglekKeichi TakahashiKohei IchikawaChawanat NakasanHidemoto NakadaRyousei TakanoHajimu IidaPublished in: IJCNN (2020)
Keyphrases
- neural network model
- unlabeled data
- semi supervised learning
- labeled data
- semi supervised
- neural network
- active learning
- co training
- artificial neural networks
- supervised learning
- training data
- labeled training data
- data points
- semi supervised classification
- training set
- labeled examples
- text classification
- learning algorithm
- labeled and unlabeled data
- text categorization
- number of labeled examples
- machine learning
- label propagation
- training examples
- small set of labeled
- supervised learning algorithms
- training process
- unlabeled instances
- prior knowledge
- positive examples
- domain adaptation
- pairwise
- class labels
- decision boundary
- feature space
- object recognition
- unsupervised learning
- transfer learning
- labeled instances
- data sets