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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 Framework
Artificial neural network
Bayesian interpretation of kernel regularization
Conditional random field
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Entity Tracking Improves Cloze-style Reading Comprehension
Luong Hoang
,
Sam Wiseman
,
Alexander M. Rush
Conference on Empirical Methods in Natural…
2018
Corpus ID: 52936990
Recent work has improved on modeling for reading comprehension tasks with simple approaches such as the Attention Sum-Reader…
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Highly Cited
2016
Highly Cited
2016
Multi-task support vector machines for feature selection with shared knowledge discovery
Sen Wang
,
Xiaojun Chang
,
Xue Li
,
Quan Z. Sheng
,
Weitong Chen
Signal Processing
2016
Corpus ID: 15438203
2016
2016
Context-aware mathematical expression recognition: An end-to-end framework and a benchmark
Wenhao He
,
Yuxuan Luo
,
+4 authors
Cheng-Lin Liu
International Conference on Pattern Recognition
2016
Corpus ID: 22427269
In this paper we propose a novel end-to-end framework for mathematical expression (ME) recognition. The method uses a…
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2016
2016
Semi-supervised feature selection with exploiting shared information among multiple tasks
Xiaodong Wang
,
Rung-Ching Chen
,
Fei Yan
,
Zhi-qiang Zeng
Journal of Visual Communication and Image…
2016
Corpus ID: 206652966
2013
2013
Transfer learning using a nonparametric sparse topic model
A. Faisal
,
Jussi Gillberg
,
Gayle Leen
,
J. Peltonen
Neurocomputing
2013
Corpus ID: 16458791
2012
2012
An annotation rule extraction algorithm for image retrieval
Zeng Chen
,
Jin Hou
,
Dengsheng Zhang
,
Xue Qin
Pattern Recognition Letters
2012
Corpus ID: 5201051
2010
2010
Multi-task Learning for one-class classification
Haiqin Yang
,
Irwin King
,
Michael R. Lyu
IEEE International Joint Conference on Neural…
2010
Corpus ID: 13990099
In this paper, we address the problem of one-class classification. Taking into account the fact that in some applications, the…
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2010
2010
Multi-task learning for recommender systems
Xia Ning
,
G. Karypis
Asian Conference on Machine Learning
2010
Corpus ID: 531496
This paper focuses on exploring personalized multi-task learning approaches for collaborative filtering towards the goal of…
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2010
2010
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Yahong Han
,
Fei Wu
,
Jinzhu Jia
,
Yueting Zhuang
,
Bin Yu
AAAI Conference on Artificial Intelligence
2010
Corpus ID: 14529061
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of…
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2008
2008
Learning Coordinate Gradients with Multi-Task Kernels
Yiming Ying
,
C. Campbell
Annual Conference Computational Learning Theory
2008
Corpus ID: 8268330
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this…
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