Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
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Nov 21, 2020 - Shell
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reweighting-examples
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In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?
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Mar 4, 2021 - Shell
Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.
python nlp data-science machine-learning deep-learning neural-network pytorch image-classification reweighting-algorithms robustness transition-matrix noisy-data label-noise forward-model reweighting-examples importance-reweighting t-revision
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Jun 7, 2021 - Jupyter Notebook
Simple example of how to train a network to learn to weight data to follow a given probability distribution.
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May 13, 2022 - Jupyter Notebook
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