On ten KEEL datasets, KANs outperform MLPs on raw imbalanced data but resampling and focal loss degrade KANs while MLPs with those techniques match KAN performance at far lower cost.
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Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
On ten KEEL datasets, KANs outperform MLPs on raw imbalanced data but resampling and focal loss degrade KANs while MLPs with those techniques match KAN performance at far lower cost.