QKD applies quantum-gated modulation to task embeddings to enable inter-task knowledge distillation that bridges representation gaps and mitigates catastrophic forgetting in streaming class-incremental learning.
R-dfcil: Relation-guided representation learning for data- free class incremental learning
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Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
QKD applies quantum-gated modulation to task embeddings to enable inter-task knowledge distillation that bridges representation gaps and mitigates catastrophic forgetting in streaming class-incremental learning.