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Aiming beyond slight increases in accuracy
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DOI：10.1038/s41570-023-00480-3.png)
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Abstract
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Owing to the diminishing returns of deep learning and the focus on model accuracy, machine learning for chemistry might become an endeavour exclusive to well-funded institutions and industry. Extending the focus to model efficiency and interpretability will make machine learning for chemistry more inclusive and drive methodological progress.
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