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Volumn , Issue , 2013, Pages

Generalized denoising auto-encoders as generative models

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 84899017362     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (523)

References (18)
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    • Cho, K., Raiko, T., and Ilin, A. (2013). Enhanced gradient for training restricted boltzmann machines. Neural computation, 25(3), 805-831.
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    • Cho, K.1    Raiko, T.2    Ilin, A.3
  • 10
    • 0242564704 scopus 로고    scopus 로고
    • Products of experts
    • Hinton, G. E. (1999). Products of experts. In ICANN'1999.
    • (1999) ICANN'1999
    • Hinton, G.E.1
  • 11
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton, G. E., Osindero, S., and Teh, Y. (2006). A fast learning algorithm for deep belief nets. Neural Computation, 18, 1527-1554.
    • (2006) Neural Computation , vol.18 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.3
  • 12
    • 22044434800 scopus 로고    scopus 로고
    • Estimation of non-normalized statistical models using score matching
    • Hyvärinen, A. (2005). Estimation of non-normalized statistical models using score matching. Journal of Machine Learning Research, 6, 695-709.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 695-709
    • Hyvärinen, A.1
  • 13
    • 85162419825 scopus 로고    scopus 로고
    • Regularized estimation of image statistics by score matching
    • J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, editors
    • Kingma, D. and LeCun, Y. (2010). Regularized estimation of image statistics by score matching. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, editors, Advances in Neural Information Processing Systems 23, pages 1126-1134.
    • (2010) Advances in Neural Information Processing Systems , vol.23 , pp. 1126-1134
    • Kingma, D.1    Lecun, Y.2
  • 14
    • 85161966246 scopus 로고    scopus 로고
    • Sparse feature learning for deep belief networks
    • Cambridge, MA MIT Press
    • Ranzato, M., Boureau, Y.-L., and LeCun, Y. (2008). Sparse feature learning for deep belief networks. In NIPS'07, pages 1185-1192, Cambridge, MA. MIT Press.
    • (2008) NIPS'07 , pp. 1185-1192
    • Ranzato, M.1    Boureau, Y.-L.2    Lecun, Y.3
  • 15
    • 80053460450 scopus 로고    scopus 로고
    • Contractive auto-encoders: Explicit invariance during feature extraction
    • Rifai, S., Vincent, P., Muller, X., Glorot, X., and Bengio, Y. (2011). Contractive auto-encoders: Explicit invariance during feature extraction. In ICML'2011.
    • (2011) ICML'2011
    • Rifai, S.1    Vincent, P.2    Muller, X.3    Glorot, X.4    Bengio, Y.5
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    • A generative process for sampling contractive auto-encoders
    • Rifai, S., Bengio, Y., Dauphin, Y., and Vincent, P. (2012). A generative process for sampling contractive auto-encoders. In ICML'2012.
    • (2012) ICML'2012
    • Rifai, S.1    Bengio, Y.2    Dauphin, Y.3    Vincent, P.4
  • 18
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    • A connection between score matching and denoising autoencoders
    • Vincent, P. (2011). A connection between score matching and denoising autoencoders. Neural Computation, 23(7).
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    • Vincent, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.