Existing approaches for semi-supervised object detection assume a fixed ...
Model explainability has become an important problem in machine learning...
When using medical images for diagnosis, either by clinicians or artific...
In this work we explain the setup for a technical, graduate-level course...
In Natural Language Processing, feature-additive explanation methods qua...
In hybrid human-AI systems, users need to decide whether or not to trust...
Given that there are a variety of stakeholders involved in, and affected...
Graph neural networks (GNNs) have shown increasing promise in real-world...
Counterfactual explanations help users understand why machine learned mo...
At Ahold Delhaize, there is an interest in using more complex machine
le...
Understanding how "black-box" models arrive at their predictions has spa...