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of 3
pro vyhledávání: '"Fryer, Zee"'
Machine learning model bias can arise from dataset composition: sensitive features correlated to the learning target disturb the model decision rule and lead to performance differences along the features. Existing de-biasing work captures prominent a
Externí odkaz:
http://arxiv.org/abs/2401.13213
A common approach for testing fairness issues in text-based classifiers is through the use of counterfactuals: does the classifier output change if a sensitive attribute in the input is changed? Existing counterfactual generation methods typically re
Externí odkaz:
http://arxiv.org/abs/2206.13757
We propose a modular architecture for the lifelong learning of hierarchically structured tasks. Specifically, we prove that our architecture is theoretically able to learn tasks that can be solved by functions that are learnable given access to funct
Externí odkaz:
http://arxiv.org/abs/2112.10919