AI RESEARCH
PENEX: AdaBoost-Inspired Neural Network Regularization
arXiv CS.LG
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ArXi:2510.02107v4 Announce Type: replace AdaBoost sequentially fits so-called weak learners to minimize an exponential loss, which penalizes misclassified data points severely than other loss functions like cross-entropy. Paradoxically, AdaBoost generalizes well in practice as the number of weak learners grows. In the present work, we