Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations.
Taniya KapoorHongrui WangAlfredo NúñezRolf P. B. J. DollevoetPublished in: CoRR (2023)
Keyphrases
- transfer learning
- neural network
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- machine learning
- pattern recognition
- active learning
- manifold alignment
- transfer knowledge
- collaborative filtering
- reinforcement learning
- multi task learning
- multi task
- machine learning algorithms
- structure learning
- semi supervised learning
- text categorization
- learning algorithm
- text classification
- cross domain learning
- unlabeled data
- data sets
- unsupervised learning
- supervised learning
- information retrieval
- text mining
- semi supervised
- knn
- transferring knowledge
- high dimensional