A dual representation of influence functions reduces computational cost from model size to dataset size for linearizable models.
Gradient-based learning applied to document recognition.Proceedings of the IEEE
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Extending Kernel Trick to Influence Functions
A dual representation of influence functions reduces computational cost from model size to dataset size for linearizable models.