Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.
Clifton PothHannah SterzIndraneil PaulSukannya PurkayasthaLeon EngländerTimo ImhofIvan VuliSebastian RuderIryna GurevychJonas PfeifferPublished in: EMNLP (Demos) (2023)
Keyphrases
- transfer learning
- knowledge transfer
- learning tasks
- cross domain
- manifold alignment
- machine learning
- transfer knowledge
- multi task learning
- machine learning algorithms
- data sets
- input output
- multi task
- labeled data
- active learning
- reinforcement learning
- neural network
- text categorization
- semi supervised learning
- text classification
- support vector machine
- structure learning
- domain adaptation