Alec Hodgkinson

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

Active learning (AL) aims to minimize labeling efforts for data-demanding deep neural networks (DNNs) by selecting the most representative data points for annotation. However, currently used methods are ill-equipped to deal with biased data. The main motivation of this paper is to consider a realist…