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Found 2 papers, 1 papers with code
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights
The weights used in these linear combinations are measures of instance importance, complementing existing measures of feature importance, such as SHAP and LIME.
Improved Text Classification via Test-Time Augmentation
Test-time augmentation -- the aggregation of predictions across transformed examples of test inputs -- is an established technique to improve the performance of image classification models.
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