We are interested in aligning how people think about objects and what
ma...
Part-prototype Networks (ProtoPNets) are concept-based classifiers desig...
We are concerned with debugging concept-based gray-box models (GBMs). Th...
The representation of the personal context is complex and essential to
i...
We tackle sequential learning under label noise in applications where a ...
We introduce and study knowledge drift (KD), a complex form of drift tha...
The ability to learn from human supervision is fundamental for personal
...