Automated Quantization and Retraining for Neural Network Models Without Labeled Data.
Kundjanasith ThonglekKeichi TakahashiKohei IchikawaChawanat NakasanHidemoto NakadaRyousei TakanoPattara LeelapruteHajimu IidaPublished in: IEEE Access (2022)
Keyphrases
- labeled data
- neural network model
- unlabeled data
- semi supervised learning
- semi supervised
- neural network
- active learning
- training data
- text classification
- supervised learning
- artificial neural networks
- transfer learning
- data points
- domain adaptation
- labeled examples
- class labels
- labeled training data
- learning algorithm
- prior knowledge
- labeled and unlabeled data
- data sets
- text categorization
- semi supervised classification
- supervised methods
- information retrieval
- generative model
- label propagation
- training examples
- labeling process
- learning tasks
- co training
- machine learning
- text mining
- labeled instances