Accounting for the Effect of Inter-Task Similarity in Continual Learning Models.
Alaa El KhatibMahmoud M. NasrFakhri KarrayPublished in: SMC (2021)
Keyphrases
- learning models
- loss function
- machine learning
- learning algorithm
- similarity measure
- semi supervised learning
- machine learning algorithms
- learning tasks
- learning paradigms
- conditional random fields
- machine learning models
- learning problems
- classification models
- intra class
- sparse metric learning
- image segmentation
- generative model
- prior knowledge
- object recognition
- real world
- intermediate concepts
- data sets