Source Model Selection for Transfer Learning of Image Classification using Supervised Contrastive Loss.
Young-Seong ChoSamuel KimJee-Hyong LeePublished in: BigComp (2021)
Keyphrases
- model selection
- transfer learning
- image classification
- machine learning
- target domain
- unsupervised learning
- cross validation
- learning algorithm
- labeled data
- feature selection
- learning tasks
- knowledge transfer
- supervised learning
- semi supervised learning
- hyperparameters
- reinforcement learning
- semi supervised
- parameter estimation
- sample size
- domain adaptation
- active learning
- regression model
- cross domain
- previously learned
- feature extraction
- text categorization
- collaborative filtering
- generalization error
- machine learning algorithms
- structure learning
- multi task
- transfer knowledge
- model selection criteria
- unlabeled data
- text classification
- selection criterion
- multi label
- text mining
- multi task learning
- gaussian process
- training and test data
- training data
- multiple sources
- information extraction
- feature space