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Introduction to Model and Data Cards, documentation schemas that facilitate comprehensive reporting of key information about model architectures, hyperparameters, and detailed dataset characteristics. By standardizing documentation practices, researchers can enhance the reproducibility of experiments, foster collaboration across diverse AI domains, and foster transparency regarding biases and limitations.
Artificial intelligence, Machine learning, Data exchange, Documentation, Transparency, Reproducibility, Data science
Artificial intelligence, Machine learning, Data exchange, Documentation, Transparency, Reproducibility, Data science
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |