IALE: Imitating Active Learner Ensembles

9 Jul 2020Christoffer LöfflerKarthik AyyalasomayajulaSascha RiechelChristopher Mutschler

Active learning (AL) prioritizes the labeling of the most informative data samples. As the performance of well-known AL heuristics highly depends on the underlying model and data, recent heuristic-independent approaches that are based on reinforcement learning directly learn a policy that makes use of the labeling history to select the next sample... (read more)

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