2024
Active Learning Guided by Efficient Surrogate Learners
AAAI 2024technical
Re-training a deep learning model each time a single data point receives a new label is impractical due to the inherent complexity of the training process. Consequently, existing active learning (AL) algorithms tend to adopt a batch-based approach where, during each AL iteration, a set of data point…