Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning.
Yeachan KimJunho KimSangKeun LeePublished in: ACL (1) (2024)
Keyphrases
- fine tuning
- learning algorithm
- learning process
- supervised learning
- online learning
- parameter tuning
- learning systems
- reinforcement learning
- learning environment
- computationally efficient
- data sets
- learning tasks
- incremental learning
- highly efficient
- positive examples
- noisy environments
- training data
- fine tune
- label noise