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Related Questions
- What is the purpose of using negative sampling in contrastive learning?
- How does the choice of negative sampling strategy affect the quality of the learned representations?
- Can you explain the trade-off between the number of positive and negative samples in contrastive learning?
- How does negative sampling impact the training time and computational resources required for contrastive learning?
- Can you discuss the role of negative sampling in improving the robustness of contrastive learning models to noisy or missing data?
- How does negative sampling influence the embedding space in contrastive learning, and what are its implications for downstream tasks?
- What are some common pitfalls to avoid when implementing negative sampling in contrastive learning models, and how can they be mitigated?
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