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Related Questions
- How does knowledge distillation affect the generalization performance of deep neural networks?
- What are the theoretical implications of knowledge distillation on the optimization landscape of deep learning models?
- Can knowledge distillation be used to transfer knowledge between models with different architectures or task spaces?
- How does knowledge distillation impact the interpretability of deep neural networks?
- What are the computational and memory efficiency implications of using knowledge distillation in deep learning?
- Can knowledge distillation be used to improve the robustness of deep neural networks to adversarial attacks?
- What are the theoretical limitations of knowledge distillation in terms of its ability to capture complex relationships between inputs and outputs?
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