公开(公告)号：WO2020014778A1

公开(公告)日：2020-01-23

申请号：PCT/CA2019/050978

申请日：2019-07-16

申请人： ELEMENT AI INC.

发明人： ROBERT, Eric ,  BÉJEAU, Jean-Sébastien

IPC分类号： G06K9/72 ,  G06N3/08 ,  G06F16/906

摘要： Systems and methods for selecting at least one unlabeled data object from a set of unlabeled data objects. The present invention receives a set of unlabeled data objects and identifies at least one data object in the set that is considered to differ from the others. The at least one data object is selected for further processing, which may include labeling processes. In some embodiments, the data objects are passed through at least one representation-generating module, and the resulting representations are compared to each other. Differences between the representations are evaluated against at least one criterion. If the differences meet the at least one criterion, corresponding data objects are considered to differ from the others and are then selected for further processing. In some implementations, a sample set of sample data objects may be used. In some implementations, the at least one representation-generating module may comprise a neural network.