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Volumn , Issue , 2016, Pages 2531-2539

Improved dropout for shallow and deep learning

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; NEURAL NETWORKS; NEURONS; OPTIMIZATION; PROBABILITY; PROBABILITY DISTRIBUTIONS; SAMPLING;

EID: 85018878306     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (90)

References (23)
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    • Benjamin Graham, Jeremy Reizenstein, and Leigh Robinson. Efficient batchwise dropout training using submatrices. CoRR, abs/1502.02478, 2015.
    • (2015) CoRR
    • Graham, B.1    Reizenstein, J.2    Robinson, L.3
  • 6
    • 85083951076 scopus 로고    scopus 로고
    • Adam: A method for stochastic optimization
    • Diederik P. Kingma and Jimmy Ba. Adam: A method for stochastic optimization. CoRR, abs/1412.6980, 2014.
    • (2014) CoRR
    • Kingma, D.P.1    Ba, J.2
  • 7
    • 85014556040 scopus 로고    scopus 로고
    • Variational dropout and the local reparameterization trick
    • Diederik P. Kingma, Tim Salimans, and Max Welling. Variational dropout and the local reparameterization trick. CoRR, abs/1506.02557, 2015.
    • (2015) CoRR
    • Kingma, D.P.1    Salimans, T.2    Welling, M.3
  • 10
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 13
    • 84862277721 scopus 로고    scopus 로고
    • Factored 3-way restricted boltzmann machines for modeling natural images
    • Marc'Aurelio Ranzato, Alex Krizhevsky, and Geoffrey E. Hinton. Factored 3-way restricted boltzmann machines for modeling natural images. In AISTATS, pages 621-628, 2010.
    • (2010) AISTATS , pp. 621-628
    • Ranzato, M.1    Krizhevsky, A.2    Hinton, G.E.3
  • 21
    • 84926377572 scopus 로고    scopus 로고
    • Feature noising for log-linear structured prediction
    • Sida I Wang, Mengqiu Wang, Stefan Wager, Percy Liang, and Christopher D Manning. Feature noising for log-linear structured prediction. In EMNLP, pages 1170-1179, 2013.
    • (2013) EMNLP , pp. 1170-1179
    • Wang, S.I.1    Wang, M.2    Wager, S.3    Liang, P.4    Manning, C.D.5
  • 23
    • 84949895824 scopus 로고    scopus 로고
    • Adaptive dropout rates for learning with corrupted features
    • Jingwei Zhuo, Jun Zhu, and Bo Zhang. Adaptive dropout rates for learning with corrupted features. In IJCAI, pages 4126-4133, 2015.
    • (2015) IJCAI , pp. 4126-4133
    • Zhuo, J.1    Zhu, J.2    Zhang, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.