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Comparing Coresets to Other Reduction and Sampling Techniques in Machine Learning

DataHeroes

Introduction: Machine learning algorithms often encounter large and complex datasets, leading to computational challenges and model performance issues. Reduction and sampling techniques are vital in overcoming these challenges by reducing dataset size and balancing class distributions.

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Google at NeurIPS 2022

Google Research AI blog

This year, NeurIPS is also offering a new track, called Spotlight Papers, which will provide opportunities to highlight papers presented in prestigious journals that would otherwise not have been eligible for submission.