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Related Questions
- What are some notable examples of transfer learning in natural language processing, such as language models or sentiment analysis?
- Can you provide examples of domain adaptation in computer vision, such as object detection or image classification?
- How does transfer learning help in adapting models to new domains or tasks in NLP and CV?
- What are some challenges and limitations of transfer learning in domain adaptation, and how can they be addressed?
- Can you give examples of successful applications of transfer learning in other areas, such as speech recognition or recommender systems?
- How does the choice of pre-trained model and fine-tuning approach impact the effectiveness of transfer learning in domain adaptation?
- What are some recent advancements and trends in transfer learning and domain adaptation, and how are they being applied in real-world applications?
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