正規化線形関数 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "正規化線形関数" in Japanese language version.

refsWebsite

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4arxiv.org

69^th place

227^th place

3doi.org

2^nd place

6^th place

2wikipedia.org

low place

1lecun.com

low place

1jmlr.org

low place

1harvard.edu

18^th place

107^th place

1nih.gov

4^th place

24^th place

1toronto.edu

low place

1u-szeged.hu

low place

1stanford.edu

179^th place

608^th place

1nips.cc

low place

1intel.com

1,118^th place

1,188^th place

1itmedia.co.jp

624^th place

41^st place

1researchgate.net

120^th place

616^th place

arxiv.org (Global: 69^th place; Japanese: 227^th place)

Ramachandran, Prajit; Zoph, Barret; Le, Quoc V. (16 October 2017). “Searching for Activation Functions”. arXiv:1710.05941 [cs.NE].
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2015). “Delving Deep into Rectifiers: Surpassing Human-Level Performance on Image Net Classification”. arXiv:1502.01852 [cs.CV].
Clevert, Djork-Arné; Unterthiner, Thomas; Hochreiter, Sepp (2015). “Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)”. arXiv:1511.07289 [cs.LG].
Ma, Ningning; Zhang, Xiangyu; Sun, Jian (24 July 2020). “Funnel Activation for Visual Recognition”. arXiv:2007.11824 [cs.CV].

doi.org (Global: 2^nd place; Japanese: 6^th place)

Hahnloser, R.; Sarpeshkar, R.; Mahowald, M. A.; Douglas, R. J.; Seung, H. S. (2000). “Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit”. Nature. 405: 947–951. doi:10.1038/35016072.
LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). “Deep learning”. Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442.
Behnke, Sven (2003). Hierarchical Neural Networks for Image Interpretation. Lecture Notes in Computer Science. Vol. 2766. Springer. doi:10.1007/b11963.

harvard.edu (Global: 18^th place; Japanese: 107^th place)

ui.adsabs.harvard.edu

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). “Deep learning”. Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442.

intel.com (Global: 1,118^th place; Japanese: 1,188^th place)

software.intel.com

“Smooth Rectifier Linear Unit (SmoothReLU) Forward Layer”. Developer Guide for Intel® Data Analytics Acceleration Library (アメリカ英語). 2017. 2018年12月4日閲覧.

itmedia.co.jp (Global: 624^th place; Japanese: 41^st place)

atmarkit.itmedia.co.jp

「［活性化関数］シグモイド関数（Sigmoid function）とは？」『＠IT』。2021年11月28日閲覧。

jmlr.org (Global: low place; Japanese: low place)

Xavier Glorot; Antoine Bordes; Yoshua Bengio (2011). Deep sparse rectifier neural networks (PDF). AISTATS. Rectifier and softplus activation functions. The second one is a smooth version of the first.

lecun.com (Global: low place; Japanese: low place)

yann.lecun.com

Yann LeCun; Leon Bottou; Genevieve B. Orr; Klaus-Robert Müller (1998). “Efficient BackProp” (PDF). In G. Orr and K. Müller (ed.). Neural Networks: Tricks of the Trade. Springer.

nih.gov (Global: 4^th place; Japanese: 24^th place)

pubmed.ncbi.nlm.nih.gov

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). “Deep learning”. Nature. 521 (7553): 436–444. Bibcode:2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442.

nips.cc (Global: low place; Japanese: low place)

papers.nips.cc

Dugas, Charles; Bengio, Yoshua; Bélisle, François; Nadeau, Claude; Garcia, René (1 January 2000). “Incorporating second-order functional knowledge for better option pricing” (PDF). Proceedings of the 13th International Conference on Neural Information Processing Systems (NIPS'00). MIT Press: 451–457. Since the sigmoid h has a positive first derivative, its primitive, which we call softplus, is convex

researchgate.net (Global: 120^th place; Japanese: 616^th place)

Behnke, Sven (2003). Hierarchical Neural Networks for Image Interpretation. Lecture Notes in Computer Science. Vol. 2766. Springer. doi:10.1007/b11963.

stanford.edu (Global: 179^th place; Japanese: 608^th place)

ai.stanford.edu

Andrew L. Maas, Awni Y. Hannun, Andrew Y. Ng (2014). Rectifier Nonlinearities Improve Neural Network Acoustic Models

toronto.edu (Global: low place; Japanese: low place)

cs.toronto.edu

Vinod Nair; Geoffrey Hinton (2010). Rectified Linear Units Improve Restricted Boltzmann Machines (PDF). ICML.

u-szeged.hu (Global: low place; Japanese: low place)

inf.u-szeged.hu

László Tóth (2013). Phone Recognition with Deep Sparse Rectifier Neural Networks (PDF). ICASSP.

wikipedia.org (Global: low place; Japanese: low place)

en.wikipedia.org

Vinod Nair; Geoffrey Hinton (2010). Rectified Linear Units Improve Restricted Boltzmann Machines (PDF). ICML.
László Tóth (2013). Phone Recognition with Deep Sparse Rectifier Neural Networks (PDF). ICASSP.

正規化線形関数 (Japanese Wikipedia)

arxiv.org (Global: 69th place; Japanese: 227th place)

doi.org (Global: 2nd place; Japanese: 6th place)

harvard.edu (Global: 18th place; Japanese: 107th place)

ui.adsabs.harvard.edu

intel.com (Global: 1,118th place; Japanese: 1,188th place)

software.intel.com

itmedia.co.jp (Global: 624th place; Japanese: 41st place)

atmarkit.itmedia.co.jp

jmlr.org (Global: low place; Japanese: low place)

lecun.com (Global: low place; Japanese: low place)

yann.lecun.com

nih.gov (Global: 4th place; Japanese: 24th place)

pubmed.ncbi.nlm.nih.gov

nips.cc (Global: low place; Japanese: low place)

papers.nips.cc

researchgate.net (Global: 120th place; Japanese: 616th place)

stanford.edu (Global: 179th place; Japanese: 608th place)

ai.stanford.edu

toronto.edu (Global: low place; Japanese: low place)

cs.toronto.edu

u-szeged.hu (Global: low place; Japanese: low place)

inf.u-szeged.hu

wikipedia.org (Global: low place; Japanese: low place)

en.wikipedia.org

arxiv.org (Global: 69^th place; Japanese: 227^th place)

doi.org (Global: 2^nd place; Japanese: 6^th place)

harvard.edu (Global: 18^th place; Japanese: 107^th place)

intel.com (Global: 1,118^th place; Japanese: 1,188^th place)

itmedia.co.jp (Global: 624^th place; Japanese: 41^st place)

nih.gov (Global: 4^th place; Japanese: 24^th place)

researchgate.net (Global: 120^th place; Japanese: 616^th place)

stanford.edu (Global: 179^th place; Japanese: 608^th place)