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CTRL: Clustering Training Losses for Label Error Detection
Chang Yue,
Niraj K. Jha
Electrical and Computer Engineering
Princeton Language and Intelligence (PLI)
NextG
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Dive into the research topics of 'CTRL: Clustering Training Losses for Label Error Detection'. Together they form a unique fingerprint.
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Keyphrases
Error Detection
100%
Training Loss
100%
Labeling Errors
100%
Noisy Labels
33%
Neural Network
16%
Clustering Algorithm
16%
Image Data
16%
Detection Accuracy
16%
Machine Learning Models
16%
Supervised Machine Learning
16%
Tabular Data
16%
Loss Curve
16%
Multi-class Dataset
16%
Clean Label
16%
Corrupted Labels
16%
Noisy Training Dataset
16%
Computer Science
Error Detection
100%
Machine Learning
50%
Experimental Result
25%
Neural Network
25%
Open Source
25%
Detection Accuracy
25%
Clustering Algorithm
25%
Training Dataset
25%
Physics
Machine Learning
100%
Neural Network
50%
Earth and Planetary Sciences
Machine Learning
100%
State of the Art
50%