Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets.
Irina BejanArtem SokolovKatja FilippovaPublished in: EMNLP (2023)
Keyphrases
- learning algorithm
- data sets
- learning process
- supervised learning
- learning systems
- database
- learning problems
- prior knowledge
- learning tasks
- inductive inference
- inductive learning
- mobile learning
- unsupervised learning
- knowledge acquisition
- natural language processing
- support vector
- reinforcement learning
- machine learning