CDVM formulates data pruning as maximizing total data influence while constraining excessive contributions to any single test point, yielding robust performance on the OpenDataVal benchmark in low-data regimes.
34th International Conference on Machine Learning, ICML 2017 , year =
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Constraint-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environments
CDVM formulates data pruning as maximizing total data influence while constraining excessive contributions to any single test point, yielding robust performance on the OpenDataVal benchmark in low-data regimes.