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Though it is somewhat absurd to find ‘SOTA’ algorithm in imbalanced learning problem,
(since there exists solutions of a different nature)
are there any good recent papers (2018~) on the “method” of dealing with imbalanced learning?
(I wandered around Google scholar, but there are mostly applications of existing methods on domain-specific problems)
I’ve recognized some generative methods like SMOTE, ADASYN, tons of GAN-based techniques, cost-sensitive approaches, transforming loss functions, learning metrics, and over/under samplings, etc.
Among such categories, or other approaches that I don’t know yet, what is the most generally well-working algorithms? (papers?)
Thank you all, in advance.
submitted by /u/vaseline555
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