To Recognition

Neural Information Processing Systems 

However, mostsamplesarestill -Augfortheheadormiddle (see Fig.2(green)). Hence, (x; coulduselikelihoodP(X = x|Y = y) oftrain P(Y =y|X =x)intestset.Ptrain(Y =yi)= yi andPt yi) 1/C,priorcannotbe prior, thelearned , W, b, willyield isnolongerpriorshould correctness By = log y) + logC) Furthermore, By enables likelihood, TheoremBy-compensated LB(yi, (x; )) = l h 1+ X E2E: end : ourreproduced : results Dataset ImageNet-LiNaturalist Method E2EResNet-10 ResNet-50 ResNet-50 CE 3 35.88

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