Model-Protected Multi-Task Learning

Ziqi Liu
Ziqi Liu
Jiayu Zhou
Jiayu Zhou
Xiaoqian Jiang
Xiaoqian Jiang
Changshui Zhang
Changshui Zhang
Fei Wang
Fei Wang

IEEE transactions on pattern analysis and machine intelligence, 2020.

Cited by: 0|Views8
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Abstract:

Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In contrast, in single-task learning (STL) each individual task is learned independently. MTL often leads to better-trained models because they can leverage the commonalities among related tasks. However, because MTL algorithms can ``leak" inform...More

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