Supplementary document to “label-noise robust deep generative model for semi-supervised learning”

HIGHLIGHTS

• who: from the Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea + have published the article: Supplementary Document to u201cLabel-Noise Robust Deep Generative Model for Semi-Supervised Learningu201d, in the Journal: (JOURNAL)
• what: This proves that the larger the amount of unlabeled data, the higher the accuracy of the model , implying that the model has the potential to enhance performance on real-world datasets with vast amounts of unlabeled data.

SUMMARY

As observed in the table, with a fixed number of . . .

 



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