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Topic classification
Multi-label classification task with MultiEURLEX
Error measure: Hamming Accuracy/Zero-one accuracy Uncertainty Quantification: Aggregate over k binary classifiers, entropy of predicted distribution is used for predictive uncertainty (https://proceedings.mlr.press/v70/li17a.html, https://arxiv.org/pdf/2006.11584). Other metrics such as mutual information and variance can be used for the model uncertainty (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9761166).
The text was updated successfully, but these errors were encountered:
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Topic classification
Multi-label classification task with MultiEURLEX
Error measure: Hamming Accuracy/Zero-one accuracy
Uncertainty Quantification: Aggregate over k binary classifiers, entropy of predicted distribution is used for predictive uncertainty (https://proceedings.mlr.press/v70/li17a.html, https://arxiv.org/pdf/2006.11584). Other metrics such as mutual information and variance can be used for the model uncertainty (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9761166).
The text was updated successfully, but these errors were encountered: