Development and application of Few-shot learning methods in materials science under data scarcity
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DOI: 10.1039/d4ta06452f
Abstract: Machine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data. read more here.
Keywords: learning methods; shot learning; development application; methods materials ... See more keywords