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Found 3 papers, 1 papers with code
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels
Positive-unlabeled learning refers to the process of training a binary classifier using only positive and unlabeled data.
Quasi-Ballistic Thermal Conduction in 6H-SiC
Furthermore, orders of magnitude reduction in the measured thermal conductivity was observed at low temperatures for the porous 6H-SiC compared to the epitaxial 6H-SiC.
Materials Science Mesoscale and Nanoscale Physics
Joint Optimization Framework for Learning with Noisy Labels
Deep neural networks (DNNs) trained on large-scale datasets have exhibited significant performance in image classification.
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Image Classification
on Clothing1M
