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 function, you are effectively doing multi-task learning (in contrast to single-task learning))。在那种场景中,这样做有利于想清楚我们真正要做的是什么...
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...
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 function, you are effectively doing multi-task learning (in contrast to single-task learning))。在那种场景中,这样做有利于想清楚我们真正要做的是什么...
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 function, you are effectively doing multi-task learning (in contrast to single-task learning))。在那种场景中,这样做有利于想清楚我们真正要做的是什么...
AnOverviewofMulti-TaskLearninginDeepNeuralNetworks∗SebastianRuderInsightCentreforDataAnalytics,NUIGalwayAylienLtd.,Dublinruder.sebastian@gmailAbstractMulti-tasklearning(MTL)hasledtosuccessesinmanyapplicationsofmachinelearning,fromnaturallanguageprocessingandspeechrecognitiontocomputervisionanddrugdiscovery.Thisarticleaims...
Multi-task learning (MTL) has led to successes in many applications of machine learning, from natural language processing and speech recognition to computer vision and drug discovery. This article aims to give a general overview of MTL, particularly in deep neural networks. It introduces the two ...
《An Overview of Multi-Task Learning in Deep Neural Networks》S Ruder [Aylien Ltd] (2017) http://t.cn/RobA5hN
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 ...
1.3Deep learning Deep learningis currently one of the hottest areas of research inAI. Models based ondeep learningplay major roles in image recognition, speech recognition,NLP, and many other applications. The vast majority of MRC models nowadays are based ondeep learningas well. Therefore this ...
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