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Volumn 3, Issue , 2017, Pages 1923-1932

Deep Bayesian active learning with image data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; IMAGE ENHANCEMENT; UNCERTAINTY ANALYSIS;

EID: 85048415204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (568)

References (40)
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    • Dropout as a Bayesian approximation: Representing model uncertainty in deep learning
    • Gal, Yarin and Ghahramani, Zoubin. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning. ICML, 2016b.
    • (2016) ICML
    • Gal, Y.1    Ghahramani, Z.2
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    • Kalchbrenner, Nal and Blunsom, Phil. Recurrent continuous translation models. In EMNLP, 2013.
    • (2013) EMNLP
    • Kalchbrenner, N.1    Blunsom, P.2
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    • Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.