sparse-models
Efficient representations of models that only contain "useful" information; sparisfication is the act of removing redundant weights from models, which result in smaller and faster models.
The interest for this in #intel-research would be scalable, improved CPU performance for tasks.
This paper provides a very detailed review which I need to go throughput.
Backlinks
scaling-tensorflow-to-300mil
- [Neural magic](https://www.docs.neuralmagic.com/main/index.html) appears to be a very comprehensive collection of [[sparse-models]] literature and implementations
machine-learning-notes
- [[sparse-models]]