carbocation t1_j103ehe wrote
Have you tried focal loss? If I’m reading you correctly it’s appropriate for this type of question, although if the hard samples are distributed evenly across classes it is probably not actually going to help. I don’t think you mention what type of problem you’re solving (classification, regression, segmentation, etc) so it’s hard to guess.
Dartagnjan OP t1_j105tp0 wrote
It's a regression problem, but I already tried something similiar. I scaled the loss according to how hard the example is which was derived from a hand crafted heuristic, but I did not get good results with it.
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