Atención (aprendizaje automático) (Spanish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Atención (aprendizaje automático)" in Spanish language version.

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8arxiv.org

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4youtube.com

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4doi.org

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2pytorch.org

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2ieee.org

652^nd place

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1semanticscholar.org

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1ox.ac.uk

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1issn.org

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1nih.gov

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1zdnet.com

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1paperswithcode.com

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arxiv.org

Vaswani; Parmar; Uszkoreit; Jones; Gomez; Kaiser; Polosukhin (2017-12-05). «Attention Is All You Need». arXiv:1706.03762 [cs.CL].
Ramachandran; Vaswani; Bello; Levskaya; Shlens (2019-06-13). «Stand-Alone Self-Attention in Vision Models». arXiv:1906.05909 [cs.CV].
Jaegle; Brock; Zisserman; Vinyals; Carreira (2021-06-22). «Perceiver: General Perception with Iterative Attention». arXiv:2103.03206 [cs.CV].
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». arXiv:2009.14794 [cs.CL].
Bahdanau (2016-05-19). «Neural Machine Translation by Jointly Learning to Align and Translate». arXiv:1409.0473 [cs.CL].
Luong (2015-09-20). «Effective Approaches to Attention-based Neural Machine Translation». arXiv:1508.04025v5 [cs.CL].
Woo, Sanghyun; Park, Jongchan; Lee, Joon-Young; Kweon, In So (2018-07-18). «CBAM: Convolutional Block Attention Module». arXiv:1807.06521 [cs.CV].
Georgescu, Mariana-Iuliana; Ionescu, Radu Tudor; Miron, Andreea-Iuliana; Savencu, Olivian; Ristea, Nicolae-Catalin; Verga, Nicolae; Khan, Fahad Shahbaz (2022-10-12). «Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution». arXiv:2204.04218 [eess.IV].

doi.org

dx.doi.org

Schmidhuber, Jürgen. «Learning to control fast-weight memories: an alternative to recurrent nets». Neural Computation 4 (1): 131-139. doi:10.1162/neco.1992.4.1.131.
Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward et al. (12 de octubre de 2016). «Hybrid computing using a neural network with dynamic external memory». Nature 538 (7626): 471 - 476. ISSN 1476-4687. PMID 27732574. doi:10.1038/nature20101.
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): 6687-6696. ISBN 978-1-7281-4803-8. doi:10.1109/ICCV.2019.00679.
Hu, Jie (2018). «Squeeze-and-Excitation Networks». IEEE/CVF Conference on Computer Vision and Pattern Recognition: 7132-7141. ISBN 978-1-5386-6420-9. doi:10.1109/CVPR.2018.00745.

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): 6687-6696. ISBN 978-1-7281-4803-8. doi:10.1109/ICCV.2019.00679.
Hu, Jie (2018). «Squeeze-and-Excitation Networks». IEEE/CVF Conference on Computer Vision and Pattern Recognition: 7132-7141. ISBN 978-1-5386-6420-9. doi:10.1109/CVPR.2018.00745.

issn.org

portal.issn.org

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward et al. (12 de octubre de 2016). «Hybrid computing using a neural network with dynamic external memory». Nature 538 (7626): 471 - 476. ISSN 1476-4687. PMID 27732574. doi:10.1038/nature20101.

nih.gov

ncbi.nlm.nih.gov

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward et al. (12 de octubre de 2016). «Hybrid computing using a neural network with dynamic external memory». Nature 538 (7626): 471 - 476. ISSN 1476-4687. PMID 27732574. doi:10.1038/nature20101.

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 et al. (12 de octubre de 2016). «Hybrid computing using a neural network with dynamic external memory». Nature 538 (7626): 471 - 476. ISSN 1476-4687. PMID 27732574. doi:10.1038/nature20101.

paperswithcode.com

«Papers with Code - A Decomposable Attention Model for Natural Language Inference». paperswithcode.com. (en inglés).

pytorch.org

«Pytorch.org seq2seq tutorial». Consultado el 2 de diciembre de 2021.
Robertson, Sean. «NLP From Scratch: Translation With a Sequence To Sequence Network and Attention». pytorch.org. Consultado el 22 de diciembre de 2021.

semanticscholar.org

api.semanticscholar.org

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

youtube.com

Yann Lecun (2020). Deep Learning course at NYU, Spring 2020, video lecture Week 6. Consultado el 8 de marzo de 2022. «Los eventos ocurren en 53:00».
Neil Rhodes (2021). CS 152 NN—27: Attention: Keys, Queries, & Values. Consultado el 22 de diciembre de 2021. «Los eventos ocurren en 06:30».
Alfredo Canziani & Yann Lecun (2021). NYU Deep Learning course, Spring 2020. Consultado el 22 de diciembre de 2021. «Los eventos ocurren en 05:30».
Alfredo Canziani & Yann Lecun (2021). NYU Deep Learning course, Spring 2020. Consultado el 22 de diciembre de 2021. «Los eventos ocurren en 20:15».

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. Consultado el 19 de agosto de 2021.