Transfer learning for atomistic simulations using GNNs and kernel mean embeddings.
John Isak Texas FalkLuigi BonatiPietro NovelliMichele ParrinelloMassimiliano PontilPublished in: NeurIPS (2023)
Keyphrases
- transfer learning
- latent space
- learning tasks
- labeled data
- cross domain
- knowledge transfer
- active learning
- reinforcement learning
- semi supervised learning
- manifold alignment
- kernel function
- text classification
- collaborative filtering
- vector space
- unlabeled data
- kernel methods
- machine learning
- dimensionality reduction
- kernel learning
- transfer knowledge
- domain adaptation
- learning algorithm
- multi task
- machine learning algorithms
- low dimensional
- text categorization
- feature space
- support vector
- transferring knowledge
- manifold learning
- target domain
- kernel matrix
- semi supervised
- training data