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Volumn , Issue , 2018, Pages

Accelerating neural architecture search using performance prediction
[No Author Info available]

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; MODELING LANGUAGES; REGRESSION ANALYSIS; REINFORCEMENT LEARNING; VISUAL LANGUAGES;

EID: 85083954329     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (88)

References (21)
  • 2
    • 84857855190 scopus 로고    scopus 로고
    • Random search for hyper-parameter optimization
    • James Bergstra and Yoshua Bengio. Random search for hyper-parameter optimization. JMLR, 13 (Feb):281–305, 2012.
    • (2012) JMLR , vol.13 , pp. 281-305
    • Bergstra, J.1    Bengio, Y.2
  • 3
    • 84897558007 scopus 로고    scopus 로고
    • Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures
    • James Bergstra, Daniel Yamins, and David D Cox. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. ICML (1), 28:115–123, 2013.
    • (2013) ICML , vol.28 , Issue.1 , pp. 115-123
    • Bergstra, J.1    Yamins, D.2    Cox, D.D.3
  • 6
    • 84949921865 scopus 로고    scopus 로고
    • Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
    • Tobias Domhan, Jost Tobias Springenberg, and Frank Hutter. Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves. IJCAI, 2015.
    • (2015) IJCAI
    • Domhan, T.1    Springenberg, J.T.2    Hutter, F.3
  • 13
    • 84949985138 scopus 로고    scopus 로고
    • Taking the human out of the loop: A review of Bayesian optimization
    • Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P Adams, and Nando de Freitas. Taking the human out of the loop: A review of bayesian optimization. Proceedings of the IEEE, 104(1): 148–175, 2016.
    • (2016) Proceedings of the IEEE , vol.104 , Issue.1 , pp. 148-175
    • Shahriari, B.1    Swersky, K.2    Wang, Z.3    Adams, R.P.4    De Freitas, N.5
  • 14
    • 84869201485 scopus 로고    scopus 로고
    • Practical Bayesian optimization of machine learning algorithms
    • Jasper Snoek, Hugo Larochelle, and Ryan P Adams. Practical bayesian optimization of machine learning algorithms. NIPS, pp. 2951–2959, 2012.
    • (2012) NIPS , pp. 2951-2959
    • Snoek, J.1    Larochelle, H.2    Adams, R.P.3
  • 16
    • 0036594106 scopus 로고    scopus 로고
    • Evolving neural networks through augmenting topologies
    • Kenneth O Stanley and Risto Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10(2):99–127, 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.2 , pp. 99-127
    • Stanley, K.O.1    Miikkulainen, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.