#influence-functions

The latest AI and developer news about #influence-functions, with the original source and a short summary.

Reducing Unlearning Costs: Leveraging Low-Impact Data Points to Cut Computational Expenses

This study proposes a framework that identifies data points with negligible impact on model training, reducing unlearning computational costs by up to 50%.

·2026.08.13 09:00

Making Unlearning More Efficient: Cutting Compute Costs with Low-Impact Points

Removing low-influence data first in machine learning models can cut unlearning costs by up to 50%.

·1·2026.07.17 09:00