Long-TailedClassificationbyKeepingtheGoodand RemovingtheBadMomentumCausalEffect

Neural Information Processing Systems 

Therefore, long-tailed classification is the key to deep learning at scale. However, existing methods are mainly based on reweighting/re-sampling heuristics that lack a fundamental theory. In this paper, weestablish acausal inference framework,which notonlyunravelsthewhysof previous methods, but also derives a new principled solution.

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