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Related Questions
- What are the key challenges in knowledge distillation and how are researchers addressing them?
- Can you explain the concept of dark knowledge and its role in knowledge distillation?
- How does knowledge distillation relate to other areas of machine learning, such as transfer learning and meta-learning?
- What are some potential applications of knowledge distillation in real-world scenarios, such as medical diagnosis or natural language processing?
- How does knowledge distillation compare to other model compression techniques, such as pruning and quantization?
- What are some open research directions in knowledge distillation, such as handling multimodal data or incorporating domain knowledge?
- Can you discuss the potential benefits and limitations of using knowledge distillation for model pruning and knowledge extraction?
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