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Volumn 8, Issue , 2017, Pages 5744-5753

Learned optimizers that scale and generalize

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; NEURAL NETWORKS; STRUCTURAL OPTIMIZATION;

EID: 85048532379     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (118)

References (34)
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    • Kehoe, E.J.1
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    • 85083951076 scopus 로고    scopus 로고
    • Adam: A method for stochastic optimization
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    • Kingma, D.1    Ba, J.2
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    • A method of solving a convex programming problem with convergence rate o (1/k2)
    • Nesterov, Yurii. A method of solving a convex programming problem with convergence rate o (1/k2). In Soviet Mathematics Doklady, Volume 27, pp. 372-376, 1983a.
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    • A method of solving a convex programming problem with convergence rate o (1/k2)
    • Nesterov, Yurii. A method of solving a convex programming problem with convergence rate o (1/k2). In Soviet Mathematics Doklady, Volume 27, pp. 372-376, 1983b.
    • (1983) Soviet Mathematics Doklady , vol.27 , pp. 372-376
    • Nesterov, Y.1
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    • Adapting bias by gradient descent: An incremental version of delta-bar-delta
    • Sutton, Richard S. Adapting bias by gradient descent: An incremental version of delta-bar-delta. In Association for the Advancement of Artificial Intelligence, pp. 171-176, 1992.
    • (1992) Association for the Advancement of Artificial Intelligence , pp. 171-176
    • Sutton, R.S.1
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    • Springer Science and Business Media
    • Thrun, Sebastian and Pratt, Lorien. Learning to learn. Springer Science and Business Media, 1998.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.