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Volumn 2018-December, Issue , 2018, Pages 7332-7342

Bayesian model-agnostic meta-learning

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; MACHINE LEARNING; UNCERTAINTY ANALYSIS;

EID: 85064441999     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (492)

References (37)
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    • Balan, A.K.1    Rathod, V.2    Murphy, K.3    Welling, M.4
  • 4
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    • Yoshua Bengio, Samy Bengio, and Jocelyn Cloutier. Learning a synaptic learning rule. Université de Montréal, Département d'informatique et de recherche opérationnelle, 1990.
    • (1990) Learning a Synaptic Learning Rule
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  • 5
    • 0001314534 scopus 로고
    • The role of metalearning in study processes
    • John B Biggs. The role of metalearning in study processes. British journal of educational psychology, 55(3):185-212, 1985.
    • (1985) British Journal of Educational Psychology , vol.55 , Issue.3 , pp. 185-212
    • Biggs, J.B.1
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    • 84949683101 scopus 로고    scopus 로고
    • Human-level concept learning through probabilistic program induction
    • Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum. Human-level concept learning through probabilistic program induction. Science, 350(6266):1332-1338, 2015.
    • (2015) Science , vol.350 , Issue.6266 , pp. 1332-1338
    • Lake, B.M.1    Salakhutdinov, R.2    Tenenbaum, J.B.3
  • 19
    • 18944382328 scopus 로고
    • The importance of shape in early lexical learning
    • Barbara Landau, Linda B Smith, and Susan S Jones. The importance of shape in early lexical learning. Cognitive development, 3(3):299-321, 1988.
    • (1988) Cognitive Development , vol.3 , Issue.3 , pp. 299-321
    • Landau, B.1    Smith, L.B.2    Jones, S.S.3
  • 22
    • 85018878907 scopus 로고    scopus 로고
    • Stein variational gradient descent: A general purpose Bayesian inference algorithm
    • Qiang Liu and Dilin Wang. Stein variational gradient descent: A general purpose bayesian inference algorithm. In Advances In Neural Information Processing Systems, pp. 2378-2386, 2016.
    • (2016) Advances In Neural Information Processing Systems , pp. 2378-2386
    • Liu, Q.1    Wang, D.2
  • 24
    • 84969988426 scopus 로고    scopus 로고
    • Optimizing neural networks with kronecker-factored approximate curvature
    • James Martens and Roger Grosse. Optimizing neural networks with kronecker-factored approximate curvature. In International conference on machine learning, pp. 2408-2417, 2015.
    • (2015) International Conference on Machine Learning , pp. 2408-2417
    • Martens, J.1    Grosse, R.2
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    • 85036621104 scopus 로고    scopus 로고
    • A developmental approach to machine learning?
    • Linda B Smith and Lauren K Slone. A developmental approach to machine learning? Frontiers in psychology, 8:2124, 2017.
    • (2017) Frontiers in Psychology , vol.8 , pp. 2124
    • Smith, L.B.1    Slone, L.K.2
  • 37
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    • Simple statistical gradient-following algorithms for connectionist reinforcement learning
    • Springer
    • Ronald J Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. In Reinforcement Learning, pp. 5-32. Springer, 1992.
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    • Williams, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.