PPI
A statistical inference framework that combines a small amount of human annotation with a large volume of model predictions. Rather than treating model predictions directly as ground truth, it combines them into a low-bias estimate of the target quantity and produces valid confidence intervals.
Timeline (last 90 days)
FewHumans is an open-source library for deciding which samples should go to human annotation, fusing human labels with judge labels using prediction-powered inference (PPI), and determining when to stop annotating.
Un-tuned PPI with fixed λ=1 inflates human-label consumption by a factor of 2.27, which amounts to injecting noise in medium-quality settings where judge agreement is only 45%–77%.
The pixel density (PPI) of the 4.26-inch, 800 x 480 X4 Pro is around 219.
300 PPI is regarded as the golden standard for reading on e-readers.
300 PPI is regarded as the gold-standard pixel density for e-reader screens.
All Facts (5)
FewHumans is an open-source library for deciding which samples should go to human annotation, fusing human labels with judge labels using prediction-powered inference (PPI), and determining when to stop annotating.
50%UnverifiedUn-tuned PPI with fixed λ=1 inflates human-label consumption by a factor of 2.27, which amounts to injecting noise in medium-quality settings where judge agreement is only 45%–77%.
50%UnverifiedThe pixel density (PPI) of the 4.26-inch, 800 x 480 X4 Pro is around 219.
50%Unverified300 PPI is regarded as the golden standard for reading on e-readers.
50%Unverified300 PPI is regarded as the gold-standard pixel density for e-reader screens.
50%