226 citations · 272 across the 15 of their papers we have counts for
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cs.LG2019★ 1 cited
Better AI through Logical Scaffolding
Nikos Arechiga, Jonathan DeCastro, Soonho Kong +1
We describe the concept of logical scaffolds, which can be used to improve the quality of software that relies on AI components. We explain how some of the existing ideas on runtim…
cs.LG2019★ 226 cited
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao, Colin Wei, Adrien Gaidon +2
Deep learning algorithms can fare poorly when the training dataset suffers from heavy class-imbalance but the testing criterion requires good generalization on less frequent classe…