Увага (машинне навчання) (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Увага (машинне навчання)" in Ukrainian language version.

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10arxiv.org

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188^th place

4youtube.com

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4doi.org

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4semanticscholar.org

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964^th place

2pytorch.org

low place

2ieee.org

652^nd place

774^th place

1stanford.edu

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1archive.org

6^th place

1ox.ac.uk

613^th place

1,111^th place

1harvard.edu

18^th place

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1worldcat.org

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1nih.gov

4^th place

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1neurips.cc

low place

1zdnet.com

786^th place

2,146^th place

1paperswithcode.com

low place

archive.org

Schmidhuber, Jürgen (1992). Learning to control fast-weight memories: an alternative to recurrent nets. Neural Computation (англ.). 4 (1): 131—139. doi:10.1162/neco.1992.4.1.131. S2CID 16683347.

arxiv.org

Ramachandran, Prajit; Parmar, Niki; Vaswani, Ashish; Bello, Irwan; Levskaya, Anselm; Shlens, Jonathon (13 червня 2019). Stand-Alone Self-Attention in Vision Models (англ.). arXiv:1906.05909 [cs.CV].
Jaegle, Andrew; Gimeno, Felix; Brock, Andrew; Zisserman, Andrew; Vinyals, Oriol; Carreira, Joao (22 червня 2021). Perceiver: General Perception with Iterative Attention (англ.). arXiv:2103.03206 [cs.CV].
Britz, Denny; Goldie, Anna; Luong, Minh-Thanh; Le, Quoc (21 березня 2017). Massive Exploration of Neural Machine Translation Architectures (англ.). arXiv:1703.03906 [cs.CV].
Bahdanau, Dzmitry; Cho, Kyunghyun; Bengio, Yoshua (2014). Neural Machine Translation by Jointly Learning to Align and Translate. arXiv:1409.0473 [cs.CL].
Choromanski, Krzysztof; Likhosherstov, Valerii; Dohan, David; Song, Xingyou; Gane, Andreea; Sarlos, Tamas; Hawkins, Peter; Davis, Jared; Mohiuddin, Afroz; Kaiser, Lukasz; Belanger, David; Colwell, Lucy; Weller, Adrian (2020). Rethinking Attention with Performers (англ.). arXiv:2009.14794 [cs.CL].
Luong, Minh-Thang (20 вересня 2015). Effective Approaches to Attention-Based Neural Machine Translation (англ.). arXiv:1508.04025v5 [cs.CL].
Zhu, Xizhou; Cheng, Dazhi; Zhang, Zheng; Lin, Stephen; Dai, Jifeng (2019). An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (англ.). с. 6687—6696. arXiv:1904.05873. doi:10.1109/ICCV.2019.00679. ISBN 978-1-7281-4803-8. S2CID 118673006.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (англ.). с. 7132—7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745. ISBN 978-1-5386-6420-9. S2CID 206597034.
Woo, Sanghyun; Park, Jongchan; Lee, Joon-Young; Kweon, In So (18 липня 2018). CBAM: Convolutional Block Attention Module (англ.). arXiv:1807.06521 [cs.CV].
Georgescu, Mariana-Iuliana; Ionescu, Radu Tudor; Miron, Andreea-Iuliana; Savencu, Olivian; Ristea, Nicolae-Catalin; Verga, Nicolae; Khan, Fahad Shahbaz (12 жовтня 2022). Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution (англ.). arXiv:2204.04218 [eess.IV].

doi.org

Schmidhuber, Jürgen (1992). Learning to control fast-weight memories: an alternative to recurrent nets. Neural Computation (англ.). 4 (1): 131—139. doi:10.1162/neco.1992.4.1.131. S2CID 16683347.
Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis (12 жовтня 2016). Hybrid computing using a neural network with dynamic external memory. Nature (англ.). 538 (7626): 471—476. Bibcode:2016Natur.538..471G. doi:10.1038/nature20101. ISSN 1476-4687. PMID 27732574. S2CID 205251479.
Zhu, Xizhou; Cheng, Dazhi; Zhang, Zheng; Lin, Stephen; Dai, Jifeng (2019). An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (англ.). с. 6687—6696. arXiv:1904.05873. doi:10.1109/ICCV.2019.00679. ISBN 978-1-7281-4803-8. S2CID 118673006.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (англ.). с. 7132—7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745. ISBN 978-1-5386-6420-9. S2CID 206597034.

harvard.edu

ui.adsabs.harvard.edu

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis (12 жовтня 2016). Hybrid computing using a neural network with dynamic external memory. Nature (англ.). 538 (7626): 471—476. Bibcode:2016Natur.538..471G. doi:10.1038/nature20101. ISSN 1476-4687. PMID 27732574. S2CID 205251479.

ieee.org

ieeexplore.ieee.org

Zhu, Xizhou; Cheng, Dazhi; Zhang, Zheng; Lin, Stephen; Dai, Jifeng (2019). An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (англ.). с. 6687—6696. arXiv:1904.05873. doi:10.1109/ICCV.2019.00679. ISBN 978-1-7281-4803-8. S2CID 118673006.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (англ.). с. 7132—7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745. ISBN 978-1-5386-6420-9. S2CID 206597034.

neurips.cc

proceedings.neurips.cc

Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Łukasz; Polosukhin, Illia (2017). Attention is All you Need (PDF). Advances in Neural Information Processing Systems (англ.). Curran Associates, Inc. 30.

nih.gov

pubmed.ncbi.nlm.nih.gov

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis (12 жовтня 2016). Hybrid computing using a neural network with dynamic external memory. Nature (англ.). 538 (7626): 471—476. Bibcode:2016Natur.538..471G. doi:10.1038/nature20101. ISSN 1476-4687. PMID 27732574. S2CID 205251479.

ox.ac.uk

ora.ox.ac.uk

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis (12 жовтня 2016). Hybrid computing using a neural network with dynamic external memory. Nature (англ.). 538 (7626): 471—476. Bibcode:2016Natur.538..471G. doi:10.1038/nature20101. ISSN 1476-4687. PMID 27732574. S2CID 205251479.

paperswithcode.com

Papers with Code - A Decomposable Attention Model for Natural Language Inference. paperswithcode.com (англ.).

pytorch.org

Pytorch.org seq2seq tutorial (англ.). Процитовано 2 грудня 2021.
Robertson, Sean. NLP From Scratch: Translation With a Sequence To Sequence Network and Attention. pytorch.org (англ.). Процитовано 22 грудня 2021.

semanticscholar.org

api.semanticscholar.org

Schmidhuber, Jürgen (1992). Learning to control fast-weight memories: an alternative to recurrent nets. Neural Computation (англ.). 4 (1): 131—139. doi:10.1162/neco.1992.4.1.131. S2CID 16683347.
Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis (12 жовтня 2016). Hybrid computing using a neural network with dynamic external memory. Nature (англ.). 538 (7626): 471—476. Bibcode:2016Natur.538..471G. doi:10.1038/nature20101. ISSN 1476-4687. PMID 27732574. S2CID 205251479.
Zhu, Xizhou; Cheng, Dazhi; Zhang, Zheng; Lin, Stephen; Dai, Jifeng (2019). An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (англ.). с. 6687—6696. arXiv:1904.05873. doi:10.1109/ICCV.2019.00679. ISBN 978-1-7281-4803-8. S2CID 118673006.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (англ.). с. 7132—7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745. ISBN 978-1-5386-6420-9. S2CID 206597034.

stanford.edu

Rumelhart, David E.; Mcclelland, James L.; Group, PDP Research (29 липня 1987). Parallel Distributed Processing, Volume 1: Explorations in the Microstructure of Cognition: Foundations, Chapter 2 (PDF) (англ.). Cambridge, Mass: Bradford Books. ISBN 978-0-262-68053-0.

worldcat.org

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis (12 жовтня 2016). Hybrid computing using a neural network with dynamic external memory. Nature (англ.). 538 (7626): 471—476. Bibcode:2016Natur.538..471G. doi:10.1038/nature20101. ISSN 1476-4687. PMID 27732574. S2CID 205251479.

youtube.com

Yann Lecun (2020). Deep Learning course at NYU, Spring 2020, video lecture Week 6 (англ.). Подія сталася на 53:00. Процитовано 8 березня 2022.
Neil Rhodes (2021). CS 152 NN—27: Attention: Keys, Queries, & Values (англ.). Подія сталася на 06:30. Процитовано 22 грудня 2021.
Alfredo Canziani & Yann Lecun (2021). NYU Deep Learning course, Spring 2020 (англ.). Подія сталася на 05:30. Процитовано 22 грудня 2021.
Alfredo Canziani & Yann Lecun (2021). NYU Deep Learning course, Spring 2020 (англ.). Подія сталася на 20:15. Процитовано 22 грудня 2021.

zdnet.com

Ray, Tiernan. Google's Supermodel: DeepMind Perceiver is a step on the road to an AI machine that could process anything and everything. ZDNet (англ.). Процитовано 19 серпня 2021.