Long-tail Learning on CIFAR-10-LT (ρ=100)
2 papers with code • 1 benchmarks • 1 datasets
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Most implemented papers
Balanced Product of Calibrated Experts for Long-Tailed Recognition
We show how to properly define these distributions and combine the experts in order to achieve unbiased predictions, by proving that the ensemble is Fisher-consistent for minimizing the balanced error.
Balanced Contrastive Learning for Long-Tailed Visual Recognition
In this paper, we focus on representation learning for imbalanced data.