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Volumn , Issue , 2014, Pages 159-164

Annealed dropout training of deep networks

Author keywords

Annealed dropout; Deep neural networks; Deterministic annealing; Dropout training; Maxout networks; Model aggregation

Indexed keywords

ENTROPY; NEURONS; SPEECH RECOGNITION; STOCHASTIC SYSTEMS;

EID: 84946693226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2014.7078567     Document Type: Conference Paper
Times cited : (68)

References (16)
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  • 3
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    • (2013) Proc. of IEEE ICASSP
    • Dahl, G.E.1    Sainath, T.N.2    Hinton, G.E.3
  • 6
    • 84905252792 scopus 로고    scopus 로고
    • Joint noise adaptive training for robust automatic speech recognition
    • Arun Narayanan and DeLiang Wang, "Joint noise adaptive training for robust automatic speech recognition, " in Proc. of the IEEE ICASSP, 2014.
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    • Narayanan, A.1    Wang, D.2
  • 7
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    • Building high-level features using large scale unsupervised learning
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    • (2013) Proc. of IEEE ICASSP
    • Le Quoc, V.1
  • 8
    • 0032202775 scopus 로고    scopus 로고
    • Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
    • K. Rose, "Deterministic annealing for clustering, compression, classification, regression, and related optimization problems, " Proceedings of the IEEE, vol. 86, no. 11, pp. 2210-2239, 1998.
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    • Rose, K.1
  • 9
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    • Statistical physics, mixtures of distributions, and the em algorithm
    • A. L. Yuille, P. Stolorz, and J. Utans, "Statistical physics, mixtures of distributions, and the EM algorithm, " Neural Computation, vol. 6, no. 2, pp. 334-340, 1994.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 334-340
    • Yuille, A.L.1    Stolorz, P.2    Utans, J.3
  • 16
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    • An investigation of deep neural networks for noise robust speech recognition
    • Michael L Seltzer, Dong Yu, and YongqiangWang, "An investigation of deep neural networks for noise robust speech recognition, " in Proc. IEEE ICASSP, 2013.
    • (2013) Proc. IEEE ICASSP
    • Seltzer, M.L.1    Yu, D.2    Wang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.