On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning.
Chengzu LiHan ZhouGoran GlavasAnna KorhonenIvan VulicPublished in: CoRR (2023)
Keyphrases
- learning algorithm
- learning scheme
- probabilistic model
- conceptual framework
- learned models
- learning tasks
- conceptual model
- knowledge acquisition
- computational model
- mathematical model
- supervised learning
- prior knowledge
- learning process
- decision theoretic
- learning models
- camera calibration
- statistical model
- learning problems
- pairwise
- neural nets
- learning systems
- context dependent
- image sequences
- unsupervised learning
- machine learning