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We adopt a multi-view approach for analyzing two knowledge transfer settings---learning using privileged information (LUPI) and distillation---in a common framework.
Relations between two sets of variates
Harold Hotelling · 1936
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Combining labeled and unlabeled data with co-training
Avrim Blum and Tom Mitchell · 1998
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A co-regularization approach to semi-supervised learning with multiple views
Vikas Sindhwani, Partha Niyogi, and Mikhail Belkin · 2005
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Multi-view regression via canonical correlation analysis
Sham M. Kakade and Dean P. Foster · 2007
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The Rademacher complexity of co-regularized kernel classes
David S. Rosenberg and Peter L. Bartlett · 2007
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A new learning paradigm: Learning using privileged information
Vladimir Vapnik and Akshay Vashist · 2009
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A discriminative model for semi-supervised learning
Maria-Florina Balcan and Avrim Blum · 2010
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On the theory of learning with privileged information
Dmitry Pechyony and Vladimir Vapnik · 2010
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Optimistic rates for learning with a smooth loss
Nathan Srebro, Karthik Sridharan, and Ambuj Tewari · 2012
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Do deep nets really need to be deep?
Jimmy Ba and Rich Caruana · 2014
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Multilingual distributed representations without word alignment
Karl Moritz Hermann and Phil Blunsom · 2014
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Understanding Machine Learning: From Theory to Algorithms
Shai Shalev-Shwartz and Shai Ben-David · 2014
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On deep multi-view representation learning
Weiran Wang, Raman Arora, Karen Livescu, and Jeff Bilmes · 2014
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Unifying distillation and priviledged information
David Lopez-Paz, Léon Bottou, Bernhard Schölkopf, and Vladimir Vapnik · 2015
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Learning using priviledged information: Similarity control and knowledge transfer
Vladimir Vapnik and Rauf Izmailov · 2015
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Doubly accelerated methods for faster CCA and generalized eigendecomposition
Zeyuan Allen-Zhu and Yuanzhi Li · 2016
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Efficient co-training of linear separators under weak dependence
Avrim Blum and Yishay Mansour · 2017
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From captions to visual concepts and back
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh K. Srivastava, Li Deng, Piotr Dollar, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, and Geoffrey Zweig · 2015
Cited alongside, same era.
Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, and Weiran Wang · 2017
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