AEON jointly estimates closed-set and open-set label noise rates via learnable parameters and uses them to adaptively weight samples in one-stage training, achieving state-of-the-art accuracy on several noisy-label benchmarks.
Addressing out-of-distribution label noise in webly-labelled data
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AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
AEON jointly estimates closed-set and open-set label noise rates via learnable parameters and uses them to adaptively weight samples in one-stage training, achieving state-of-the-art accuracy on several noisy-label benchmarks.