machine-learning
multi-task-learning
An approach in machine learning where multiple tasks are learned simultaneously, sharing representations.
Expanded definition
Multi-task learning aims to improve learning efficiency and predictive performance by training a model on multiple related tasks at the same time. By exploiting commonalities and differences across tasks, this approach allows the model to learn shared representations that can enhance performance on individual tasks. It is particularly effective when tasks are related and can benefit from shared information.
Related terms
Explore adjacent ideas in the knowledge graph.