AlexNet (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "AlexNet" in Chinese language version.

refsWebsite

Global rank Chinese rank

15web.archive.org

1^st place

6doi.org

2^nd place

23^rd place

3psu.edu

207^th place

628^th place

2qz.com

1,110^th place

1,562^nd place

2worldcat.org

5^th place

12^th place

2nih.gov

4^th place

5^th place

2lecun.com

low place

2scholar.google.com

1,697^th place

3,337^th place

2idsia.ch

low place

1image-net.org

low place

1nips.cc

low place

6,768^th place

1inria.fr

4,903^rd place

7,274^th place

1rub.de

low place

1scholarpedia.org

low place

1arxiv.org

69^th place

254^th place

1princeton.edu

741^st place

907^th place

1adeshpande3.github.io

low place

adeshpande3.github.io (Global: low place; Chinese: low place)

Deshpande, Adit. The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3). adeshpande3.github.io. [2018-12-04]. （原始内容存档于2018-11-21）.

arxiv.org (Global: 69^th place; Chinese: 254^th place)

Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110. |journal=被忽略 (帮助)

doi.org (Global: 2^nd place; Chinese: 23^rd place)

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110. |journal=被忽略 (帮助)
LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.
Fukushima, K. Neocognitron. Scholarpedia. 2007, 2 (1): 1717. doi:10.4249/scholarpedia.1717.
Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.

idsia.ch (Global: low place; Chinese: low place)

idsia.ch

Ciresan, Dan; Ueli Meier; Jonathan Masci; Luca M. Gambardella; Jurgen Schmidhuber. Flexible, High Performance Convolutional Neural Networks for Image Classification (PDF). Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two. 2011, 2: 1237–1242 [2013-11-17]. （原始内容存档 (PDF)于2013-11-16）.

people.idsia.ch

Schmidhuber, Jürgen. History of computer vision contests won by deep CNNs on GPU. 2017-03-17 [2019-01-14]. （原始内容存档于2018-12-19）.

image-net.org (Global: low place; Chinese: low place)

ILSVRC2012 Results. [2020-01-17]. （原始内容存档于2020-01-16）.

inria.fr (Global: 4,903^rd place; Chinese: 7,274^th place)

hal.inria.fr

Kumar Chellapilla; Sid Puri; Patrice Simard. High Performance Convolutional Neural Networks for Document Processing. Lorette, Guy (编). Tenth International Workshop on Frontiers in Handwriting Recognition. Suvisoft. 2006 [2020-01-17]. （原始内容存档于2020-05-18）.

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

yann.lecun.com

Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition （页面存档备份，存于互联网档案馆）; AT&T Bell Laboratories
LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.

nih.gov (Global: 4^th place; Chinese: 5^th place)

ncbi.nlm.nih.gov

Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.

nips.cc (Global: low place; Chinese: 6,768^th place)

papers.nips.cc

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.

princeton.edu (Global: 741^st place; Chinese: 907^th place)

cs.princeton.edu

Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.

psu.edu (Global: 207^th place; Chinese: 628^th place)

citeseerx.ist.psu.edu

Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110. |journal=被忽略 (帮助)
LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.

qz.com (Global: 1,110^th place; Chinese: 1,562^nd place)

Dave Gershgorn. The inside story of how AI got good enough to dominate Silicon Valley. Quartz. 2018-06-18 [2018-10-05]. （原始内容存档于2019-12-12）.
The data that transformed AI research—and possibly the world. [2020-01-17]. （原始内容存档于2017-07-27）.

rub.de (Global: low place; Chinese: low place)

benchmark.ini.rub.de

IJCNN 2011 Competition result table. OFFICIAL IJCNN2011 COMPETITION. 2010 [2019-01-14]. （原始内容存档于2019-01-21）.

scholar.google.com (Global: 1,697^th place; Chinese: 3,337^th place)

AlexNet paper on Google Scholar. [2024-07-02]. （原始内容存档于2023-06-23）.
Alex Krizhevsky. Google Scholar Citations. [2020-01-17]. （原始内容存档于2020-04-17）.

scholarpedia.org (Global: low place; Chinese: low place)

Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.

web.archive.org (Global: 1^st place; Chinese: 1^st place)

Dave Gershgorn. The inside story of how AI got good enough to dominate Silicon Valley. Quartz. 2018-06-18 [2018-10-05]. （原始内容存档于2019-12-12）.
The data that transformed AI research—and possibly the world. [2020-01-17]. （原始内容存档于2017-07-27）.
ILSVRC2012 Results. [2020-01-17]. （原始内容存档于2020-01-16）.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
Kumar Chellapilla; Sid Puri; Patrice Simard. High Performance Convolutional Neural Networks for Document Processing. Lorette, Guy (编). Tenth International Workshop on Frontiers in Handwriting Recognition. Suvisoft. 2006 [2020-01-17]. （原始内容存档于2020-05-18）.
Ciresan, Dan; Ueli Meier; Jonathan Masci; Luca M. Gambardella; Jurgen Schmidhuber. Flexible, High Performance Convolutional Neural Networks for Image Classification (PDF). Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two. 2011, 2: 1237–1242 [2013-11-17]. （原始内容存档 (PDF)于2013-11-16）.
IJCNN 2011 Competition result table. OFFICIAL IJCNN2011 COMPETITION. 2010 [2019-01-14]. （原始内容存档于2019-01-21）.
Schmidhuber, Jürgen. History of computer vision contests won by deep CNNs on GPU. 2017-03-17 [2019-01-14]. （原始内容存档于2018-12-19）.
Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition （页面存档备份，存于互联网档案馆）; AT&T Bell Laboratories
LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.
Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.
Deshpande, Adit. The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3). adeshpande3.github.io. [2018-12-04]. （原始内容存档于2018-11-21）.
AlexNet paper on Google Scholar. [2024-07-02]. （原始内容存档于2023-06-23）.
Alex Krizhevsky. Google Scholar Citations. [2020-01-17]. （原始内容存档于2020-04-17）.

worldcat.org (Global: 5^th place; Chinese: 12^th place)

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110. |journal=被忽略 (帮助)

AlexNet (Chinese Wikipedia)

adeshpande3.github.io (Global: low place; Chinese: low place)

arxiv.org (Global: 69th place; Chinese: 254th place)

doi.org (Global: 2nd place; Chinese: 23rd place)

idsia.ch (Global: low place; Chinese: low place)

idsia.ch

people.idsia.ch

image-net.org (Global: low place; Chinese: low place)

inria.fr (Global: 4,903rd place; Chinese: 7,274th place)

hal.inria.fr

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

yann.lecun.com

nih.gov (Global: 4th place; Chinese: 5th place)

ncbi.nlm.nih.gov

nips.cc (Global: low place; Chinese: 6,768th place)

papers.nips.cc

princeton.edu (Global: 741st place; Chinese: 907th place)

cs.princeton.edu

psu.edu (Global: 207th place; Chinese: 628th place)

citeseerx.ist.psu.edu

qz.com (Global: 1,110th place; Chinese: 1,562nd place)

rub.de (Global: low place; Chinese: low place)

benchmark.ini.rub.de

scholar.google.com (Global: 1,697th place; Chinese: 3,337th place)

scholarpedia.org (Global: low place; Chinese: low place)

web.archive.org (Global: 1st place; Chinese: 1st place)

worldcat.org (Global: 5th place; Chinese: 12th place)

arxiv.org (Global: 69^th place; Chinese: 254^th place)

doi.org (Global: 2^nd place; Chinese: 23^rd place)

inria.fr (Global: 4,903^rd place; Chinese: 7,274^th place)

nih.gov (Global: 4^th place; Chinese: 5^th place)

nips.cc (Global: low place; Chinese: 6,768^th place)

princeton.edu (Global: 741^st place; Chinese: 907^th place)

psu.edu (Global: 207^th place; Chinese: 628^th place)

qz.com (Global: 1,110^th place; Chinese: 1,562^nd place)

scholar.google.com (Global: 1,697^th place; Chinese: 3,337^th place)

web.archive.org (Global: 1^st place; Chinese: 1^st place)

worldcat.org (Global: 5^th place; Chinese: 12^th place)