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20222026
most citedCategorising the World into Local Climate Zones -- Towards Quantifying Labelling Uncertainty for Machine Learning Models

6 citations · 11 across the 5 of their papers we have counts for

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cs.LG2022★ 5 cited

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?

Christoph Koller, Göran Kauermann, Xiao Xiang Zhu

Technological and computational advances continuously drive forward the broad field of deep learning. In recent years, the derivation of quantities describing theuncertainty in the…