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Interaction-Grounded Learning with Action-Inclusive Feedback

Neural Information Processing Systems

Prior analyzed approaches fail when the feedback vector contains the action, which significantly limits IGL's success in many potential scenarios such as Brain-computer interface (BCI) or Human-computer interface (HCI) applications.


Interaction-Grounded Learning with Action-Inclusive Feedback

Neural Information Processing Systems

Prior analyzed approaches fail when the feedback vector contains the action, which significantly limits IGL's success in many potential scenarios such as Brain-computer interface (BCI) or Human-computer interface (HCI) applications.



Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas 1,4, Daniel Baez

Neural Information Processing Systems

Several queries and scores have been proposed to explain individual predictions made by ML models. Examples include queries based on "anchors", which are parts of an instance that are sufficient to justify its classification, and "feature-perturbation" scores such as SHAP .