Right for the Right Reason: Training Agnostic Networks

16 Jun 2018Sen JiaThomas Lansdall-WelfareNello Cristianini

We consider the problem of a neural network being requested to classify images (or other inputs) without making implicit use of a "protected concept", that is a concept that should not play any role in the decision of the network. Typically these concepts include information such as gender or race, or other contextual information such as image backgrounds that might be implicitly reflected in unknown correlations with other variables, making it insufficient to simply remove them from the input features... (read more)

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