Computer Science > Machine Learning
[Submitted on 13 Jun 2016 (v1), last revised 17 Feb 2017 (this version, v2)]
Title:Trace Norm Regularised Deep Multi-Task Learning
View PDFAbstract:We propose a framework for training multiple neural networks simultaneously. The parameters from all models are regularised by the tensor trace norm, so that each neural network is encouraged to reuse others' parameters if possible -- this is the main motivation behind multi-task learning. In contrast to many deep multi-task learning models, we do not predefine a parameter sharing strategy by specifying which layers have tied parameters. Instead, our framework considers sharing for all shareable layers, and the sharing strategy is learned in a data-driven way.
Submission history
From: Yongxin Yang [view email][v1] Mon, 13 Jun 2016 17:15:43 UTC (15 KB)
[v2] Fri, 17 Feb 2017 01:33:17 UTC (42 KB)
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