🏷️ Label Noise - tfriedel · Scour

An Adaptive Data cleaning Framework for Noisy Label Detection

📝Active Learning Academic

A Data-Centric Framework for Detecting and Correcting Corrupted Labels

🔍Fine-Grained Classification Academic

Less-relevant results

Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

📝Active Learning Academic

Learning from almost nothing: How neural networks survive heavy input corruption

📊OOD Detection Academic

Hidden Consensus:Preference-Validity Compression in Human Feedback

🧠LLMs Academic

Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency

📝Active Learning Academic

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