Results for "transfer problem"

Protecting data during network transfer and while stored; essential for ML pipelines handling sensitive data.

Randomizing simulation parameters to improve real-world transfer.

Converts constrained problem to unconstrained form.

Reusing knowledge from a source task/domain to improve learning on a target task/domain, typically via pretrained models.

Alternative formulation providing bounds.

Ensuring AI systems pursue intended human goals.

Ensuring AI allows shutdown.