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Related Questions
- What are some common heuristics for selecting informative negative samples in contrastive learning?
- How does the choice of negative samples impact the performance of contrastive learning models?
- Can you explain the concept of 'easy negatives' in contrastive learning and how to select them?
- What are some common metrics used to evaluate the quality of negative samples in contrastive learning?
- How does the size of the negative sample pool affect the performance of contrastive learning models?
- Can you discuss the trade-off between using more or fewer negative samples in contrastive learning?
- What are some strategies for selecting negative samples that are semantically similar to the positive samples?
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