Unverified50% confidenceOpinionExact time
Wrong categorization is worse than no categorization, as it silently pollutes the data.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedA better domain classifier can sometimes instead produce a worse miscoverage rate estimate.75% similarUnverifiedIn data quality validation, the costs of different errors are asymmetric: incorrectly accepting dirty data may cause downstream analysis to break down, while falsely rejecting good data only loses one sample.72% similarUnverifiedUnder domain mismatch conditions, relying solely on confidence-based filtering is insufficient to guarantee pseudo-label quality, because models may also exhibit high confidence on incorrect samples.72% similarVerifiedIf only the data of newly added classes is used to fine-tune an expanded classification head, the model is highly prone to catastrophic forgetting, rapidly losing its ability to recognize the original classes.71% similar
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