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We propose a framework for training multiple neural networks simultaneously.
Some mathematical notes on three-mode factor analysis
L. R. Tucker · 1966
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Characterization of the subdifferential of some matrix norms
G.A. Watson · 1992
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Multitask learning
Rich Caruana · 1997
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Task clustering and gating for Bayesian multitask learning
Bart Bakker and Tom Heskes · 2003
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Convex multi-task feature learning
Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil · 2008
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An accelerated gradient method for trace norm minimization
Shuiwang Ji and Jieping Ye · 2009
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Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
Benjamin Recht, Maryam Fazel, and Pablo A. Parrilo · 2010
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On the extension of trace norm to tensors
Ryota Tomioka, Kohei Hayashi, and Hisashi Kashima · 2010
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Learning task grouping and overlap in multi-task learning
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Multilinear multitask learning
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Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne, Masashi Sugiyama, and Ryota Tomioka · 2014
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Facial landmark detection by deep multi-task learning
Zhanpeng Zhang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Human-level concept learning through probabilistic program induction
Brenden M. Lake, Ruslan Salakhutdinov, and Joshua B. Tenenbaum · 2015
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Representation learning using multi-task deep neural networks for semantic classification and information retrieval
Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, and Ye-Yi Wang · 2015
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A unified perspective on multi-domain and multi-task learning
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Yongxin Yang and Timothy M. Hospedales · 2015
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Deep multi-task representation learning: A tensor factorisation approach
Yongxin Yang and Timothy M. Hospedales · 2017
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