An active learning method that uses deep reinforcement learning (DDPG) to decide which unlabeled images to query, after pre-ranking images by margin uncertainty, reports modest accuracy improvements on CIFAR-10, SVHN, and Fashion-MNIST.
Active learning through density clustering,
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Image Classification with Deep Reinforcement Active Learning
An active learning method that uses deep reinforcement learning (DDPG) to decide which unlabeled images to query, after pre-ranking images by margin uncertainty, reports modest accuracy improvements on CIFAR-10, SVHN, and Fashion-MNIST.