多任务学习有很多形式,如联合学习(Joint Learning),自主学习(Learning to Learn),借助辅助任务学习(Learning with Auxiliary Tasks)等,这些只是其中一些别名。概括来讲,一旦发现正在优化多于一个的目标函数,你就可以通过多任务学习来有效求解(Generally, as soon as you find yourself optimizing more than one loss fu...
An Overview of Multi-Task Learning in Deep Neural Networks 摘要 1. 引言 2. 动机 3. 两种深度学习多任务学习方法 3.1. 硬参数共享 3.2. 软参数共享 4. 为什么多任务学习有效? 4.1. 隐含的数据增强 4.2. 注意力聚焦 4.3. 窃听 4.4. 表示偏见 4.5. 正则化 5. 非神经网络模型中的多任务学习 5.1. 块...
多任务学习有很多形式,如联合学习(Joint Learning),自主学习(Learning to Learn),借助辅助任务学习(Learning with Auxiliary Tasks)等,这些只是其中一些别名。概括来讲,一旦发现正在优化多于一个的目标函数,你就可以通过多任务学习来有效求解(Generally, as soon as you find yourself optimizing more than one loss fu...
多任务学习有很多形式,如联合学习(Joint Learning),自主学习(Learning to Learn),借助辅助任务学习(Learning with Auxiliary Tasks)等,这些只是其中一些别名。概括来讲,一旦发现正在优化多于一个的目标函数,你就可以通过多任务学习来有效求解(Generally, as soon as you find yourself optimizing more than one loss fu...
AnOverviewofMulti-TaskLearninginDeepNeuralNetworks∗SebastianRuderInsightCentreforDataAnalytics,NUIGalwayAylienLtd.,Dublinruder.sebastian@gmailAbstractMulti-tasklearning(MTL)hasledtosuccessesinmanyapplicationsofmachinelearning,fromnaturallanguageprocessingandspeechrecognitiontocomputervisionanddrugdiscovery.Thisarticleaims...
As a promising area in machine learning, multi-task learning (MTL) aims to improve the performance of multiple related learning tasks by leveraging useful information among them. In this paper, we give an overview of MTL by first giving a definition of MTL. Then several different settings of ...
Examples include, when research is mentioned in the news or is tweeted about, Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like. Proportional views The...
As a promising area in machine learning, multi-task learning(MTL) aims to improve the performance of multiple related learning tasks by leveraging useful information among them. In this paper, we give an overview of MTL by first giving a definition of MTL. Then several different settings of MT...
《An Overview of Multi-Task Learning in Deep Neural Networks》S Ruder [Aylien Ltd] (2017) http://t.cn/RobA5hN
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