Search Results for author:
Found 1 papers, 1 papers with code
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
Finally, we experimentally compare how these data reduction methods affect the representativeness of the reduced dataset, the energy consumption and the predictive performance of the model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
