Deep Active Learning by Model Interpretability

23 Jul 2020Qiang LiuZhaocheng LiuXiaofang ZhuYeliang Xiu

Recent successes of Deep Neural Networks (DNNs) in a variety of research tasks, however, heavily rely on the large amounts of labeled samples. This may require considerable annotation cost in real-world applications... (read more)

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