researchNov 7
Introducing Nested Learning: A new ML paradigm for continual learning
Researchers at Google introduce Nested Learning, a new machine learning paradigm for continual learning. Nested Learning enables models to learn from a sequence of tasks without forgetting previous knowledge. The approach uses a hierarchical representation of tasks to mitigate forgetting and improve transfer learning.
Key takeaways
- Nested Learning is a new paradigm for continual learning.
- Mitigates forgetting in sequential task learning.
- Improves transfer learning via hierarchical task representations.