arxiv:2311.13028

DMLR: Data-centric Machine Learning Research -- Past, Present and Future

Published on Nov 21, 2023

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Authors:

Luis Oala ,

Alicia Parrish ,

Xiaozhe Yao ,

Max Bartolo ,

Abstract

Community engagement and infrastructure development are crucial for advancing machine learning science through the creation and maintenance of public datasets.

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Drawing from discussions at the inaugural DMLR workshop at ICML 2023 and meetings prior, in this report we outline the relevance of community engagement and infrastructure development for the creation of next-generation public datasets that will advance machine learning science. We chart a path forward as a collective effort to sustain the creation and maintenance of these datasets and methods towards positive scientific, societal and business impact.

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