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10/13/2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Unlabeled data examples awaiting annotations contain open-set noise inev...
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03/19/2022
Meta-Learning for Online Update of Recommender Systems
Online recommender systems should be always aligned with users' current ...
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12/08/2020
Two-Phase Learning for Overcoming Noisy Labels
To counter the challenge associated with noise labels, the learning stra...
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07/16/2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Deep learning has achieved remarkable success in numerous domains with h...
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11/19/2019
Prestopping: How Does Early Stopping Help Generalization against Label Noise?
Noisy labels are very common in real-world training data, which lead to ...
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10/23/2019
MLAT: Metric Learning for kNN in Streaming Time Series
Learning a good distance measure for distance-based classification in ti...
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08/08/2019
