PENEX is a new formulation of the multi-class exponential loss for neural networks that supports first-order optimization and improves generalization in low-data regimes.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
PENEX: AdaBoost-Inspired Neural Network Regularization
PENEX is a new formulation of the multi-class exponential loss for neural networks that supports first-order optimization and improves generalization in low-data regimes.