DEVICE AND METHOD FOR CONSTRUCTING DATASET FOR MULTIPLE TASKS THROUGH SELECTIVE LABELING USING ACTIVE LEARNING AND ACTIVE FORGETTING

Abstract

A device for constructing a dataset for multiple tasks through selective labeling using active learning and active forgetting includes a data collector configured to collect data for multi-task learning and a classifier that includes a deep learning model for performing the multi-task and is configured to classify useful data useful for performing a specific task through active learning using the deep learning model among the collected data, and unuseful data not useful for performing the specific task through active forgetting using the deep learning model among the identified useful data.

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