In human-AI collaboration systems for critical applications, in order to ensure minimal error, users should set an operating point based on model confidence to determine when the decision should be delegated to human experts.

We adopt the natural assumption that the empirical NTK develops a block structure aligned with the class labels, i.e., samples within the same class have stronger

Body Problem: presenting distorted, incomplete, duplicated, or abnormal body parts (e.g., limbs)

In this paper, we present DiffSketcher, an innovative algorithm that creates vectorized free-hand sketches using natural language input.

Federated learning (FL) is a machine learning paradigm where multiple client devices train models collaboratively without data exchange.