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Found 3 papers, 2 papers with code
Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate
We approach aspect-based argument mining as a supervised machine learning task to classify arguments into semantically coherent groups referring to the same defined aspect categories.
Examining Computational Performance of Unsupervised Concept Drift Detection: A Survey and Beyond
We show that the previous works consider computational performance only as a secondary objective and do not have a benchmark for such evaluation.
Large-scale Neural Solvers for Partial Differential Equations
However, recent numerical solvers require manual discretization of the underlying equation as well as sophisticated, tailored code for distributed computing.
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