Importance

Loading Importance Indicators...

Abstract

Disclosed is a computer-implemented method for model ensemble acceleration in an active learning loop. The method includes receiving a set of datapoint inputs, where each datapoint input is an unlabeled equivalent of other datapoint inputs in the set of datapoint inputs and has a different applied weight value. The method then executes a set of neural network models, where the execution of each neural network model is based on the received set of datapoint inputs. The outputs from the set of neural network models are analyzed, where an inference computation is performed, and a label for the set of datapoints is determined. The method then stores the labeled set of datapoint inputs in a database. Various other methods, systems, and computer-readable media are also disclosed.

Loading the Abstract Image...

First Claim