batchboost: regularization for stabilizing training with resistance to underfitting & overfittingcs.LG
Batchboost stabilizes training by mixing and pairing samples, improving accuracy.
problem Stabilizing training in machine learning, especially avoiding overfitting and underfitting.
method Batchboost pipeline with three stages: pairing, mixing, and feeding. Mixing uses mixup technique.
result Batchboost achieves 0.5-3% better accuracy than mixup on CIFAR-10 & Fashion-MNIST.