Sep 12, 2019 · Artificial Intelligence

How a Simple Learning‑Rate Trick Detects 90% of Noisy Labels in Image Data

Training deep neural networks on large‑scale weakly labeled image data suffers from noisy annotations that degrade performance, but a simple algorithm that adjusts the learning‑rate during training can automatically identify up to 90% of noisy samples, improving dataset cleanliness and model accuracy without manual intervention.

Deep LearningImage Classificationdata cleaning

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How a Simple Learning‑Rate Trick Detects 90% of Noisy Labels in Image Data