TaskFusion: An Efficient Transfer Learning Architecture with Dual Delta Sparsity for Multi-Task Natural Language Processing.
Zichen FanQirui ZhangPierre AbillamaSara ShoouriChangwoo LeeDavid T. BlaauwHun-Seok KimDennis SylvesterPublished in: ISCA (2023)
Keyphrases
- multi task
- transfer learning
- natural language processing
- multi task learning
- learning tasks
- machine learning
- text mining
- group lasso
- multitask learning
- reinforcement learning
- knowledge transfer
- multiple tasks
- transfer knowledge
- collaborative filtering
- information extraction
- active learning
- semi supervised learning
- cross domain
- gaussian processes
- text categorization
- learning algorithm
- labeled data
- machine learning algorithms
- structure learning
- learning problems
- sparse learning
- text classification
- natural language
- data mining
- unlabeled data
- knowledge representation
- information retrieval
- data sets
- sparse representation
- supervised learning
- multi class
- high dimensional
- target domain
- similarity measure
- e learning
- feature selection
- artificial intelligence