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Common Representation Learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, is receiving a lot of attention recently.
Relations between two sets of variates
Hotelling, H. (1936) · 1936
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Canonical ridge and econometrics of joint production
Vinod, H. (1976) · 1976
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Canonical ridge analysis with ridge parameter optimization
Nielsen, F. Å., Hansen, L. K., and Strother, S. C. (1998) · 1998
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Nonlinear canonical correlation analysis by neural networks
Hsieh, W. (2000) · 2000
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A kernel method for canonical correlation analysis
Akaho, S. (2001) · 2001
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Canonical correlation analysis: An overview with application to learning methods
Hardoon, D. R., Szedmak, S., and Shawe-Taylor, J. (2004) · 2004
Earlier work this paper cites.
Europarl: A parallel corpus for statistical machine translation
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Whitepaper of news 2009 machine transliteration shared task
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Representation-constrained canonical correlation analysis: a hybridization of canonical correlation and principal component analyses
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Earlier work this paper cites.
Theano: a CPU and GPU math expression compiler
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Earlier work this paper cites.
Report of news 2010 transliteration mining shared task
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Composition in distributional models of semantics
Mitchell, J. and Lapata, M. (2010) · 2010
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Transliteration equivalence using canonical correlation analysis
Udupa, R. and Khapra, M. M. (2010) · 2010
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Natural Language Processing (Almost) from Scratch
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., and Kuksa, P. (2011) · 2011
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Large-Scale Learning of Embeddings with Reconstruction Sampling
Dauphin, Y., Glorot, X., and Bengio, Y. (2011) · 2011
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Multi-view learning of word embeddings via cca
Dhillon, P., Foster, D., and Ungar, L. (2011) · 2011
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Multimodal deep learning
Ngiam, J., Khosla, A., Kim, M., Nam, J., Lee, H., and Andrew, N. (2011) · 2011
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Exploiting Similarities among Languages for Machine Translation
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Zou, W. Y., Socher, R., Cer, D., and Manning, C. D. (2013) · 2013
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Chandar, S., Lauly, S., Larochelle, H., Khapra, M. M., Ravindran, B., Raykar, V., and Saha, A. (2014) · 2014
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Fast regularized canonical correlation analysis
Cruz-Cano, R. and Lee, M.-L. T. (2014) · 2014
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Learning continuous phrase representations for translation modeling
Gao, J., He, X., Yih, W.-t., and Deng, L. (2014) · 2014
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Multilingual models for compositional distributed semantics
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Regularized generalized canonical correlation analysis
Tenenhaus, A. and Tenenhaus, M. (2011) · 2011
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Kernel CCA for multi-view learning of acoustic features using articulatory measurements
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Deep canonical correlation analysis
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Multilingual deep learning
Chandar, S., Khapra, M. M., Ravindran, B., Raykar, V. C., and Saha, A. (2013) · 2013
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large scale canonical correlation analysis with iterative least squares
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Deep multilingual correlation for improved word embeddings
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