Improving Generalization via Meta-Learning on Hard Samples

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Benchmark Model Rank Results
image-classification-on-cifar-100LRWOpt–Percentage correct: 81.42
image-classification-on-imagenetLRWOpt (ViT-B/16)–Top 1 Accuracy: 84.94%

Rank counts only results with a code link.