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Volumn , Issue , 2018, Pages

A simple neural attentive meta-learner

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; MOLLUSCS; NETWORK ARCHITECTURE;

EID: 85083951897     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (939)

References (32)
  • 10
    • 84969584486 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • Sergey Ioffe and Christian Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. International Conference on Machine Learning (ICML), 2015.
    • (2015) International Conference on Machine Learning (ICML)
    • Ioffe, S.1    Szegedy, C.2
  • 21
    • 0008006333 scopus 로고
    • Evolutionary principles in self-referential learning
    • hook.) Diploma thesis, Institut f. Informatik, Tech. Univ. Munich
    • Jurgen Schmidhuber. Evolutionary principles in self-referential learning. On learning how to learn: The meta-meta-... hook.) Diploma thesis, Institut f. Informatik, Tech. Univ. Munich, 1987.
    • (1987) On Learning How to Learn: The Meta-Meta-
    • Schmidhuber, J.1
  • 26
    • 0003901612 scopus 로고    scopus 로고
    • Learning to learn: Introduction and overview
    • Springer
    • Sebastian Thrun and Lorien Pratt. Learning to learn: Introduction and overview. In Learning to learn. Springer, 1998.
    • (1998) Learning to Learn
    • Thrun, S.1    Pratt, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.