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ADA Outperforms ERM and Competes with C-Mixup in In-Distribution Generalization Tasks

  • ADA (Anchor Data Augmentation) outperforms ERM (Expected Risk Minimization) and competes with C-Mixup in in-distribution generalization tasks.
  • ADA is evaluated and compared to other approaches on tasks involving in-distribution generalization using various datasets.
  • ADA consistently improves regression fit compared to ERM and is superior to other data augmentation strategies.
  • ADA shows significant improvement in reducing error for the Airfoil dataset.

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