Concept负采样
Negative Sampling
A technique for filtering negative samples or adjusting sampling strategies during training, used to balance data distributions or prevent the model from learning data biases.
Timeline (last 90 days)
Oct 19
Negative sampling by data source is necessary; otherwise the model exploits dataset shortcuts to produce a spurious AUC of 1.000.
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