Adversarial Sampling for Active Learning

ICLR 2019 Christoph MayerRadu Timofte

This paper proposes asal, a new GAN based active learning method that generates high entropy samples. Instead of directly annotating the synthetic samples, ASAL searches similar samples from the pool and includes them for training... (read more)

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