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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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Related topics

Related topics

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.NET FrameworkArtificial neural networkBayesian interpretation of kernel regularizationConditional random field

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Deep Automated Multi-task Learning
Multi-task learning (MTL) has recently contributed to learning better representations in service of various NLP tasks. MTL aims… 
2017
2017
A Method for Identifying the Mood States of Social Network Users Based on Cyber Psychometrics
Analyzing people’s opinions, attitudes, sentiments, and emotions based on user-generated content (UGC) is feasible for… 
2016
2016
Semi-supervised feature selection with exploiting shared information among multiple tasks
2016
2016
Highlighting root notes in chord recognition using cepstral features and multi-task learning
A musical chord is usually described by its root note and the chord type. While a substantial amount of work has been done in the… 
2013
2013
Transfer learning using a nonparametric sparse topic model
2012
2012
An annotation rule extraction algorithm for image retrieval
2011
2011
Multi-Task Learning for Spoken Language Understanding with Shared Slots
This paper addresses the problem of learning multiple spoken language understanding (SLU) tasks that have overlapping sets of… 
2008
2008
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge
This paper describes our supervised approach to the opinionated and the polarity subtasks in the NTCIR-7 MOAT Challenge. We apply… 
2008
2008
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this… 
1990
1990
CSM: A Computational Model of Cumulative Learning
This paper presents a description and an empirical evaluation of a rule-based, cumulative learning system called CSM (classifier… 
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