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cs.LG2026
CARD: Closing the Teacher-Student Loop for Adversarial Robustness Distillation
Zhi Li, Haowei Liu, Hongchen Yang +5
Adversarial robustness distillation typically treats a robust teacher as a fixed knowledge source and transfers robustness to a compact student in a one-way manner. This paradigm t…
cs.LG2025
LODAP: On-Device Incremental Learning Via Lightweight Operations and Data Pruning
Biqing Duan, Qing Wang, Di Liu +3
Incremental learning that learns new classes over time after the model's deployment is becoming increasingly crucial, particularly for industrial edge systems, where it is difficul…