PL-Reg adds a trainable mask and a defined/undefined classification loss to logic-based regularization, improving unknown-class accuracy across GCD, mDG+GCD, and CIL benchmarks.
In: Proceed- ings of the AAAI Conference on Artificial Intelligence
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Saving for the future: Enhancing generalization via partial logic regularization
PL-Reg adds a trainable mask and a defined/undefined classification loss to logic-based regularization, improving unknown-class accuracy across GCD, mDG+GCD, and CIL benchmarks.