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Volumn , Issue , 2018, Pages

Few-shot learning with graph neural networks

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; INFERENCE ENGINES; MESSAGE PASSING; NETWORK ARCHITECTURE;

EID: 85083954270     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (548)

References (33)
  • 4
    • 84965157495 scopus 로고    scopus 로고
    • Spectral networks and locally connected networks on graphs
    • Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. Spectral networks and locally connected networks on graphs. Proc. ICLR, 2013.
    • (2013) Proc. ICLR
    • Bruna, J.1    Zaremba, W.2    Szlam, A.3    LeCun, Y.4
  • 5
    • 85032782283 scopus 로고    scopus 로고
    • A compositional object-based approach to learning physical dynamics
    • Michael B. Chang, Tomer Ullman, Antonio Torralba, and Joshua B. Tenenbaum. A compositional object-based approach to learning physical dynamics. ICLR, 2016.
    • (2016) ICLR
    • Chang, M.B.1    Ullman, T.2    Torralba, A.3    Tenenbaum, J.B.4
  • 19
    • 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
  • 24
    • 85043385565 scopus 로고    scopus 로고
    • Optimization as a model for few-shot learning
    • arXiv preprint
    • Sachin Ravi and Hugo Larochelle. Optimization as a model for few-shot learning. ICLR, 2016.
    • (2016) ICLR
    • Ravi, S.1    Larochelle, H.2
  • 25
    • 85046999920 scopus 로고    scopus 로고
    • Question asking as program generation
    • Anselm Rothe, Brenden Lake, and Todd Gureckis. Question asking as program generation. NIPS, 2017.
    • (2017) NIPS
    • Rothe, A.1    Lake, B.2    Gureckis, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.