Whereas RR arbitrarily permutes training examples, GraB leverages stale gradients from prior epochs to order examples -- achieving a provably faster convergence rate than RR.

The scarcity of data presents a critical obstacle to the efficacy of medical vision-language pre-training (VLP).

Simulation of autonomous vehicle systems requires that simulated traffic participants exhibit diverse and realistic behaviors.

Neural networks have achieved remarkable empirical performance, while the current theoretical analysis is not adequate for understanding their success, e.g., the Neural Tangent Kernel approach fails to capture their key feature learning ability, while recent analyses on feature learning are typically problem-specific.

MI can lead to the disclosure of highly sensitive information about the individual, e.g. that

While existing GNNs are highly proficient at capturing information from rich neighborhoods (i.e.,