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Found 2 papers, 1 papers with code
Reinforced Meta Active Learning
In stream-based active learning, the learning procedure typically has access to a stream of unlabeled data instances and must decide for each instance whether to label it and use it for training or to discard it.
Low-bit Quantization of Neural Networks for Efficient Inference
Recent machine learning methods use increasingly large deep neural networks to achieve state of the art results in various tasks.
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