Get the latest Science News and Discoveries

KD-crowd: A knowledge distillation framework - EurekAlert


In this paper, the authors show that as one of the major research directions, the&nbsp;<em>noise transition matrix</em>&nbsp;based worker expertise modeling methods commonly overfit the annotation noise, either due to the oversimplified noise assumption or inaccurate estimation.

None

Get the Android app

Or read this on Eureka Alert

Read more on:

Photo of EurekAlert

EurekAlert

Photo of crowd

crowd

Related news:

News photo

Evidence for reversible oxygen ion movement during electrical pulsing: enabler of the emerging ferroelectricity in ... - EurekAlert

News photo

ERC Advanced Grant for cutting-edge research on the cell's immune response - EurekAlert

News photo

Advancing circular economy initiatives in Australia for a sustainable future - EurekAlert