Computational Budget Should Be Considered in Data Selection
NeutralArtificial Intelligence
Computational Budget Should Be Considered in Data Selection
A recent study highlights the importance of incorporating computational budget into data selection processes. While data selection can enhance efficiency by identifying the most informative training samples, current methods often overlook the constraints of compute budgets. This oversight can lead to inconsistent performance across different algorithms. By emphasizing the need to integrate compute budget considerations, the research aims to improve the effectiveness of data selection strategies, making them more adaptable to varying computational resources.
— via World Pulse Now AI Editorial System
