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Related Questions
- What are the common types of data bias that can be introduced through transfer learning?
- Can you explain the concept of 'adversarial training' in the context of transfer learning and its role in mitigating bias?
- How does the choice of pre-trained model architecture influence the transfer of bias in a downstream task?
- What are some strategies for data augmentation that can help reduce data bias in transfer learning?
- How does the size and representativeness of the pre-training dataset impact the transfer of bias?
- Can you describe the role of few-shot learning in mitigating bias in transfer learning?
- What are some techniques for debiasing pre-trained language models, and how effective are they in reducing bias?
- How does the optimization algorithm used during fine-tuning affect the transfer of bias in a downstream task?
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