A brief introduction to weakly supervised learning
@article{Zhou2018ABI, title={A brief introduction to weakly supervised learning}, author={Z. Zhou}, journal={National Science Review}, year={2018}, volume={5}, pages={44-53} }
Supervised learning techniques construct predictive models by learning from a large number of training examples, where each training example has a label indicating its ground-truth output. Though current techniques have achieved great success, it is noteworthy that in many tasks it is difficult to get strong supervision information like fully ground-truth labels due to the high cost of the data-labeling process. Thus, it is desirable for machine-learning techniques to work with weak supervision… Expand
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