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Data Masking with Privacy Guarantees
In particular, we propose a method of masking the private data with privacy guarantee while ensuring that a classifier trained on the masked data is similar to the classifier trained on the original data, to maintain usability.
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning
To reduce labeling cost, instead of labeling every instance, a group of instances (bag) is labeled by a single bag label.
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