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Bias

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Post-Hoc Methods for Debiasing Neural Networks

In this post, we give an introduction to bias in machine learning, and we discuss our new research for debiasing pretrained neural networks (i.e., post-hoc debiasing). ArXiv paper: https://arxiv.org/abs/2006.08564 Source code…
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Posted by Abacus.AI
June 16, 2020
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ResearchTutorial

DECO: Debiasing through Compositional Optimization of Machine Learning Models

In the last decade or so, there has been a growing number of applications of machine learning in domains that have a significant and direct impact on human life. In these domains, it is common to find that machine learning models end up learning societal biases and…
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Posted by Abacus.AI
December 16, 2019
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