Generalization and Transfer Learning in Neural Networks Performing Shape, Size, and Color Classification.
Aishi HuangPhilip A. HuebnerJon WillitsPublished in: CogSci (2022)
Keyphrases
- transfer learning
- neural network
- pattern recognition
- text classification
- machine learning
- machine learning algorithms
- cross domain learning
- learning tasks
- knowledge transfer
- labeled data
- feature extraction
- support vector
- semi supervised learning
- active learning
- reinforcement learning
- cross domain text classification
- supervised learning
- label information
- cross domain
- multi task
- domain adaptation
- text categorization
- transfer knowledge
- collaborative filtering
- decision trees
- unlabeled data
- structure learning
- manifold alignment
- feature selection
- prior knowledge
- class labels
- feature vectors
- co training
- support vector machine
- multi task learning
- model selection
- dimensionality reduction