Internal learning for single-image generation is a framework where a generator is trained to produce novel images based on a single image. Since these models are trained on a single image, they are limited in their scale and application.

' means that while the surrogate expression is not exact, it approximates the true quantity up

Although the calibration of probabilistic models is well studied, calibrating extremely over-parametrized models in the low-data regime presents unique challenges.

Breakthroughs, discoveries, and DIY tips sent every weekday. Nature has once again proven to be an efficient designer, showing time and again how ant teamwork is much better than that of humans. "Teamwork is often assumed to enhance group performance, particularly for physical tasks. However, in both human and non-human animal teams, the effort contributed by each member may, in fact, decrease as team size grows," researchers wrote in a study recently published in the journal Current Biology. This phenomenon is called the Ringelmann effect.