Vo Nguyen Le Duy

Deep SVDD no longer requires heuristic score thresholds: conditioning on the detection event unlocks exact selective p-values and provably bounded false-positive rates for safety-critical deployment.

ALRA achieves a notable accuracy improvement over existing distillation methods by intelligently combining student and teacher token selections, revealing the importance of local relational alignment in model training.