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Related Questions
- What is the concept of knowledge distillation in transfer learning and how does it help with knowledge reuse?
- Can you explain how pre-trained language models, such as BERT and RoBERTa, facilitate transfer learning in NLP tasks?
- How does transfer learning apply to image classification tasks, and what are the advantages of using pre-trained CNNs?
- What are the key challenges in transfer learning, such as catastrophic forgetting, and how can they be addressed?
- In what ways can transfer learning be used to improve performance on downstream tasks, such as sentiment analysis and machine translation?
- How does transfer learning differ from multi-task learning, and what are the advantages of each approach?
- Can you discuss the role of hyperparameters and fine-tuning in transfer learning, and how they impact the performance of the model?
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