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 salkg-coarse


9752d873fa71c19dc602bf2a0696f9b5-Supplemental.pdf

Neural Information Processing Systems

A.21 SocietalImpact Our proposed SALKG approach for learning from KG explanations can be applied to any KGaugmented model and can be adapted from any off-the-shelf saliency method. This enables KGaugmented models to improve generalization ability and learn more efficiently from data, thus yielding better performance while requiring less labeled data.