Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
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Updated
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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Updated
May 13, 2022 - Jupyter Notebook
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