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Multi-task learning

Multi-task learning (MTL) is an approach to machine learning that learns a problem together with other related problems at the same time, using a… 
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Papers overview

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2018
2018
Recent work has improved on modeling for reading comprehension tasks with simple approaches such as the Attention Sum-Reader… 
2016
2016
In this paper we propose a novel end-to-end framework for mathematical expression (ME) recognition. The method uses a… 
2010
2010
In this paper, we address the problem of one-class classification. Taking into account the fact that in some applications, the… 
2010
2010
This paper focuses on exploring personalized multi-task learning approaches for collaborative filtering towards the goal of… 
2010
2010
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of… 
2008
2008
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this…