Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] What is a SOTA of imbalanced learning?

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
[link] [comments]