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Long-Tailed Recognition via Weight Balancing
In contrast, weight decay penalizes larger weights more heavily and so learns small balanced weights; the MaxNorm constraint encourages growing small weights within a norm ball but caps all the weights by the radius.
Ranked #9 on
Long-tail Learning
on CIFAR-100-LT (ρ=10)
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