Parameter Sharing
Noun · AI & Machine Learning
Definitions
A design approach where the same parameters are reused across different parts of a model or across multiple computations. Parameter sharing can reduce model size and sometimes improve generalization.
In plain English: Reusing the same parameters in multiple parts of a model.
Example: "The architecture relied on parameter sharing to keep memory usage manageable on the target hardware."