METHODS AND APPARATUS FOR IDENTIFYING THE SHARED IMPORTANCE OF MULTIPLE NODES WITHIN A MACHINE LEARNING MODEL FOR MULTIPLE TASKS

摘要

In some embodiments, a method includes providing an indication of a first file having a first characteristic to a neural network and receiving a classification associated with the first file from the neural network. The method includes providing an indication of a second file having a second characteristic to the neural network and receiving a classification associated with the second file from the neural network. The method further includes calculating a shared importance value for each node from a set of nodes in the neural network. The shared importance value indicates an amount to which that node is used to produce both the classification associated with the first file and the classification associated with the second file. The method further includes modifying the neural network based on the shared importance for at least one node from the set of nodes