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Volumn 2017-December, Issue , 2017, Pages 1196-1205

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; IMAGE ENHANCEMENT; NETWORK ARCHITECTURE; PERSONNEL TRAINING; SUPERVISED LEARNING; TEACHING;

EID: 85047012665     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4761)

References (33)
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    • Polyak, B. T. and Juditsky, A. B. Acceleration of Stochastic Approximation by Averaging. SIAM J. Control Optim., 30(4):838-855, July 1992. ISSN 0363-0129. doi:10.1137/0330046.
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    • Semi-supervised learning with ladder networks
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    • Rasmus, Antti, Berglund, Mathias, Honkala, Mikko, Valpola, Harri, and Raiko, Tapani. Semi-supervised Learning with Ladder Networks. In Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M., and Garnett, R. (eds.), Advances in Neural Information Processing Systems 28, pp. 3546-3554. Curran Associates, Inc., 2015.
    • (2015) Advances in Neural Information Processing Systems 28 , pp. 3546-3554
    • Rasmus, A.1    Berglund, M.2    Honkala, M.3    Valpola, H.4    Raiko, T.5
  • 22
    • 85019203095 scopus 로고    scopus 로고
    • Regularization with stochastic transformations and perturbations for deep semi-supervised learning
    • Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I., and Garnett, R. (eds.) Curran Associates, Inc.
    • Sajjadi, Mehdi, Javanmardi, Mehran, and Tasdizen, Tolga. Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning. In Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I., and Garnett, R. (eds.), Advances in Neural Information Processing Systems 29, pp. 1163-1171. Curran Associates, Inc., 2016.
    • (2016) Advances in Neural Information Processing Systems 29 , pp. 1163-1171
    • Sajjadi, M.1    Javanmardi, M.2    Tasdizen, T.3
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    • Weight normalization: A simple reparameterization to accelerate training of deep neural networks
    • Salimans, Tim and Kingma, Diederik P. Weight normalization: A simple reparameterization to accelerate training of deep neural networks. In Advances in Neural Information Processing Systems, pp. 901-901, 2016.
    • (2016) Advances in Neural Information Processing Systems , pp. 901
    • Salimans, T.1    Kingma, D.P.2
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    • Creating artificial neural networks that generalize
    • Sietsma, Jocelyn and Dow, Robert JF. Creating artificial neural networks that generalize. Neural networks, 4(1):67-79, 1991.
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    • Dropout: A simple way to prevent neural networks from overfitting
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    • Srivastava, Nitish, Hinton, Geoffrey, Krizhevsky, Alex, Sutskever, Ilya, and Salakhutdinov, Ruslan. Dropout: A Simple Way to Prevent Neural Networks from Overfitting. J. Mach. Learn. Res., 15(1):1929-1958, January 2014. ISSN 1532-4435.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.