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Volumn , Issue , 2017, Pages

Deep learning with dynamic computation graphs

Author keywords

[No Author keywords available]

Indexed keywords

DATA FLOW ANALYSIS; DATA FLOW GRAPHS; GRAPHIC METHODS; LIBRARIES; MECHANICAL VARIABLES MEASUREMENT; TREES (MATHEMATICS);

EID: 85029696736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (131)

References (21)
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    • Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein. Learning to compose neural networks for question answering. In NAACL, 2016.
    • (2016) NAACL
    • Andreas, J.1    Rohrbach, M.2    Darrell, T.3    Klein, D.4
  • 3
    • 85083953689 scopus 로고    scopus 로고
    • Neural machine translation by jointly learning to align and translate
    • Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. In ICLR, 2015.
    • (2015) ICLR
    • Bahdanau, D.1    Cho, K.2    Bengio, Y.3
  • 4
    • 0033878122 scopus 로고    scopus 로고
    • Application of cascade correlation networks for structures to chemistry
    • Anna Maria Bianucci, Alessio Micheli, Alessandro Sperduti, and Antonina Starita. Application of cascade correlation networks for structures to chemistry. Applied Intelligence, 2000.
    • (2000) Applied Intelligence
    • Bianucci, A.M.1    Micheli, A.2    Sperduti, A.3    Starita, A.4
  • 7
    • 84937941033 scopus 로고    scopus 로고
    • Learning task-dependent distributed representations by backpropagation through structure
    • Christoph Goller and Andreas Kuchler. Learning task-dependent distributed representations by backpropagation through structure. In ICNN, 1996.
    • (1996) ICNN
    • Goller, C.1    Kuchler, A.2
  • 11
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convo-lutional neural networks
    • Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. Imagenet classification with deep convo-lutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 15
    • 2142662996 scopus 로고    scopus 로고
    • GPU implementation of neural networks
    • Kyoung-Su Oh and Keechul Jung. GPU implementation of neural networks. Pattern Recognition, 2004.
    • (2004) Pattern Recognition
    • Oh, K.-S.1    Jung, K.2
  • 17
    • 84994384032 scopus 로고    scopus 로고
    • Feed-forward networks with attention can solve some long-term memory problems
    • Colin Raffel and Daniel PW Ellis. Feed-forward networks with attention can solve some long-term memory problems. In ICLR (Workshop Track), 2016.
    • (2016) ICLR (Workshop Track)
    • Raffel, C.1    Ellis, D.P.W.2
  • 19
    • 84994130334 scopus 로고    scopus 로고
    • Improved semantic representations from tree-structured long short-term memory networks
    • Kai Sheng Tai, Richard Socher, and Christopher D Manning. Improved semantic representations from tree-structured long short-term memory networks. In NAACL, 2015.
    • (2015) NAACL
    • Tai, K.S.1    Socher, R.2    Manning, C.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.