Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
Haokun LiuDerek TamMohammed MuqeethJay MohtaTenghao HuangMohit BansalColin RaffelPublished in: CoRR (2022)
Keyphrases
- fine tuning
- learning algorithm
- learning process
- learning systems
- reinforcement learning
- unsupervised learning
- active learning
- contextual information
- incremental learning
- learning scheme
- virtual learning environments
- neural network
- knowledge base
- general purpose
- image classification
- knowledge acquisition
- efficient learning