Transfer learning (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Transfer learning" in English language version.

refsWebsite

Global rank English rank

8doi.org

2^nd place

5arxiv.org

69^th place

59^th place

5semanticscholar.org

11^th place

8^th place

5books.google.com

3^rd place

3github.com

383^rd place

320^th place

2worldcat.org

5^th place

2neurips.cc

low place

2ieee.org

652^nd place

515^th place

2nips.cc

low place

7,050^th place

2nih.gov

4^th place

1web.archive.org

1^st place

1byu.edu

1,687^th place

1,074^th place

1informatica.si

low place

1ust.hk

low place

1youtube.com

9^th place

13^th place

1ghostarchive.org

32^nd place

21^st place

1creativecommons.org

1,010^th place

612^th place

1utexas.edu

916^th place

706^th place

1umn.edu

1,266^th place

860^th place

1acm.org

1,185^th place

840^th place

1aaai.org

9,352^nd place

5,696^th place

1stanford.edu

179^th place

183^rd place

1ecmlpkdd2006.org

low place

1harvard.edu

18^th place

17^th place

aaai.org

Banerjee, Bikramjit, and Peter Stone. "General Game Learning Using Knowledge Transfer." IJCAI. 2007.

acm.org

dl.acm.org

Arief-Ang, I.B.; Salim, F.D.; Hamilton, M. (2017-11-08). DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO2 sensor data. 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys). Delft, Netherlands. pp. 1–10. doi:10.1145/3137133.3137146. ISBN 978-1-4503-5544-5.

arxiv.org

George Karimpanal, Thommen; Bouffanais, Roland (2019). "Self-organizing maps for storage and transfer of knowledge in reinforcement learning". Adaptive Behavior. 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123. S2CID 53774629.
Zhuang, Fuzhen; Qi, Zhiyuan; Duan, Keyu; Xi, Dongbo; Zhu, Yongchun; Zhu, Hengshu; Xiong, Hui; He, Qing (2019). "A Comprehensive Survey on Transfer Learning". IEEE. arXiv:1911.02685.
Zoph, Barret (2020). "Rethinking pre-training and self-training" (PDF). Advances in Neural Information Processing Systems. 33: 3833–3845. arXiv:2006.06882. Retrieved 2022-12-20.
Hajiramezanali, E. & Dadaneh, S. Z. & Karbalayghareh, A. & Zhou, Z. & Qian, X. Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. arXiv:1810.09433
Kabir, H. M. Dipu; Abdar, Moloud; Jalali, Seyed Mohammad Jafar; Khosravi, Abbas; Atiya, Amir F.; Nahavandi, Saeid; Srinivasan, Dipti (January 7, 2022). "SpinalNet: Deep Neural Network with Gradual Input". IEEE Transactions on Artificial Intelligence. 4 (5): 1165–1177. arXiv:2007.03347. doi:10.1109/TAI.2022.3185179. S2CID 220381239.

books.google.com

Cost-Sensitive Machine Learning. (2011). USA: CRC Press, Page 63, https://books.google.com/books?id=8TrNBQAAQBAJ&pg=PA63
Pratt, L. Y. (1992). "Discriminability-based transfer between neural networks" (PDF). NIPS Conference: Advances in Neural Information Processing Systems 5. Morgan Kaufmann Publishers. pp. 204–211.
Caruana, R., "Multitask Learning", pp. 95-134 in Thrun & Pratt 2012 Thrun, Sebastian; Pratt, Lorien (6 December 2012). Learning to Learn. Springer Science & Business Media. ISBN 978-1-4615-5529-2.
Baxter, J., "Theoretical Models of Learning to Learn", pp. 71-95 Thrun & Pratt 2012 Thrun, Sebastian; Pratt, Lorien (6 December 2012). Learning to Learn. Springer Science & Business Media. ISBN 978-1-4615-5529-2.
Thrun & Pratt 2012. Thrun, Sebastian; Pratt, Lorien (6 December 2012). Learning to Learn. Springer Science & Business Media. ISBN 978-1-4615-5529-2.

byu.edu

cpms.byu.edu

West, Jeremy; Ventura, Dan; Warnick, Sean (2007). "Spring Research Presentation: A Theoretical Foundation for Inductive Transfer". Brigham Young University, College of Physical and Mathematical Sciences. Archived from the original on 2007-08-01. Retrieved 2007-08-05.

creativecommons.org

Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). "Improving EEG-Based Emotion Classification Using Conditional Transfer Learning". Frontiers in Human Neuroscience. 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.

doi.org

George Karimpanal, Thommen; Bouffanais, Roland (2019). "Self-organizing maps for storage and transfer of knowledge in reinforcement learning". Adaptive Behavior. 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123. S2CID 53774629.
Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). "Improving EEG-Based Emotion Classification Using Conditional Transfer Learning". Frontiers in Human Neuroscience. 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
Arief-Ang, I.B.; Salim, F.D.; Hamilton, M. (2017-11-08). DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO2 sensor data. 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys). Delft, Netherlands. pp. 1–10. doi:10.1145/3137133.3137146. ISBN 978-1-4503-5544-5.
Arief-Ang, I.B.; Hamilton, M.; Salim, F.D. (2018-12-01). "A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data". ACM Transactions on Sensor Networks. 14 (3–4): 21:1–21:28. doi:10.1145/3217214. S2CID 54066723.
Maitra, D. S.; Bhattacharya, U.; Parui, S. K. (August 2015). "CNN based common approach to handwritten character recognition of multiple scripts". 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1021–1025. doi:10.1109/ICDAR.2015.7333916. ISBN 978-1-4799-1805-8. S2CID 25739012.
Bird, Jordan J.; Kobylarz, Jhonatan; Faria, Diego R.; Ekart, Aniko; Ribeiro, Eduardo P. (2020). "Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG". IEEE Access. 8. Institute of Electrical and Electronics Engineers (IEEE): 54789–54801. Bibcode:2020IEEEA...854789B. doi:10.1109/access.2020.2979074. ISSN 2169-3536.
Maitra, Durjoy Sen; Bhattacharya, Ujjwal; Parui, Swapan K. (August 2015). "CNN based common approach to handwritten character recognition of multiple scripts". 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1021–1025. doi:10.1109/ICDAR.2015.7333916. ISBN 978-1-4799-1805-8. S2CID 25739012.
Kabir, H. M. Dipu; Abdar, Moloud; Jalali, Seyed Mohammad Jafar; Khosravi, Abbas; Atiya, Amir F.; Nahavandi, Saeid; Srinivasan, Dipti (January 7, 2022). "SpinalNet: Deep Neural Network with Gradual Input". IEEE Transactions on Artificial Intelligence. 4 (5): 1165–1177. arXiv:2007.03347. doi:10.1109/TAI.2022.3185179. S2CID 220381239.

ecmlpkdd2006.org

Bickel, Steffen (2006). "ECML-PKDD Discovery Challenge 2006 Overview". ECML-PKDD Discovery Challenge Workshop (PDF). Retrieved 2007-08-05.

ghostarchive.org

NIPS 2016 tutorial: "Nuts and bolts of building AI applications using Deep Learning" by Andrew Ng, 6 May 2018, archived from the original on 2021-12-19, retrieved 2019-12-28

github.com

de Mathelin, Antoine and Deheeger, François and Richard, Guillaume and Mougeot, Mathilde and Vayatis, Nicolas (2020) "ADAPT: Awesome Domain Adaptation Python Toolbox"
Mingsheng Long Junguang Jiang, Bo Fu. (2020) "Transfer-learning-library"
Ke Yan. (2016) "Domain adaptation toolbox"

harvard.edu

ui.adsabs.harvard.edu

Bird, Jordan J.; Kobylarz, Jhonatan; Faria, Diego R.; Ekart, Aniko; Ribeiro, Eduardo P. (2020). "Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG". IEEE Access. 8. Institute of Electrical and Electronics Engineers (IEEE): 54789–54801. Bibcode:2020IEEEA...854789B. doi:10.1109/access.2020.2979074. ISSN 2169-3536.

ieee.org

ieeexplore.ieee.org

Maitra, Durjoy Sen; Bhattacharya, Ujjwal; Parui, Swapan K. (August 2015). "CNN based common approach to handwritten character recognition of multiple scripts". 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1021–1025. doi:10.1109/ICDAR.2015.7333916. ISBN 978-1-4799-1805-8. S2CID 25739012.
Kabir, H. M. Dipu; Abdar, Moloud; Jalali, Seyed Mohammad Jafar; Khosravi, Abbas; Atiya, Amir F.; Nahavandi, Saeid; Srinivasan, Dipti (January 7, 2022). "SpinalNet: Deep Neural Network with Gradual Input". IEEE Transactions on Artificial Intelligence. 4 (5): 1165–1177. arXiv:2007.03347. doi:10.1109/TAI.2022.3185179. S2CID 220381239.

informatica.si

Stevo Bozinovski (2020) "Reminder of the first paper on transfer learning in neural networks, 1976". Informatica 44: 291–302.

neurips.cc

proceedings.neurips.cc

Pratt, L. Y. (1992). "Discriminability-based transfer between neural networks" (PDF). NIPS Conference: Advances in Neural Information Processing Systems 5. Morgan Kaufmann Publishers. pp. 204–211.
Zoph, Barret (2020). "Rethinking pre-training and self-training" (PDF). Advances in Neural Information Processing Systems. 33: 3833–3845. arXiv:2006.06882. Retrieved 2022-12-20.

nih.gov

ncbi.nlm.nih.gov

Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). "Improving EEG-Based Emotion Classification Using Conditional Transfer Learning". Frontiers in Human Neuroscience. 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.

pubmed.ncbi.nlm.nih.gov

Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). "Improving EEG-Based Emotion Classification Using Conditional Transfer Learning". Frontiers in Human Neuroscience. 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.

nips.cc

media.nips.cc

"Nuts and bolts of building AI applications using Deep Learning, slides" (PDF).

papers.nips.cc

Do, Chuong B.; Ng, Andrew Y. (2005). "Transfer learning for text classification". Neural Information Processing Systems Foundation, NIPS*2005 (PDF). Retrieved 2007-08-05.

semanticscholar.org

api.semanticscholar.org

George Karimpanal, Thommen; Bouffanais, Roland (2019). "Self-organizing maps for storage and transfer of knowledge in reinforcement learning". Adaptive Behavior. 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123. S2CID 53774629.
Arief-Ang, I.B.; Hamilton, M.; Salim, F.D. (2018-12-01). "A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data". ACM Transactions on Sensor Networks. 14 (3–4): 21:1–21:28. doi:10.1145/3217214. S2CID 54066723.
Maitra, D. S.; Bhattacharya, U.; Parui, S. K. (August 2015). "CNN based common approach to handwritten character recognition of multiple scripts". 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1021–1025. doi:10.1109/ICDAR.2015.7333916. ISBN 978-1-4799-1805-8. S2CID 25739012.
Maitra, Durjoy Sen; Bhattacharya, Ujjwal; Parui, Swapan K. (August 2015). "CNN based common approach to handwritten character recognition of multiple scripts". 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1021–1025. doi:10.1109/ICDAR.2015.7333916. ISBN 978-1-4799-1805-8. S2CID 25739012.
Kabir, H. M. Dipu; Abdar, Moloud; Jalali, Seyed Mohammad Jafar; Khosravi, Abbas; Atiya, Amir F.; Nahavandi, Saeid; Srinivasan, Dipti (January 7, 2022). "SpinalNet: Deep Neural Network with Gradual Input". IEEE Transactions on Artificial Intelligence. 4 (5): 1165–1177. arXiv:2007.03347. doi:10.1109/TAI.2022.3185179. S2CID 220381239.

stanford.edu

ai.stanford.edu

Rajat, Raina; Ng, Andrew Y.; Koller, Daphne (2006). "Constructing Informative Priors using Transfer Learning". Twenty-third International Conference on Machine Learning (PDF). Retrieved 2007-08-05.

umn.edu

stat.umn.edu

Niculescu-Mizil, Alexandru; Caruana, Rich (March 21–24, 2007), "Inductive Transfer for Bayesian Network Structure Learning" (PDF), Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007), retrieved 2007-08-05

ust.hk

cse.ust.hk

Pan, Sinno Jialin; Yang, Qiang (2009). "A Survey on Transfer Learning" (PDF). IEEE.

utexas.edu

cs.utexas.edu

Mihalkova, Lilyana; Huynh, Tuyen; Mooney, Raymond J. (July 2007), "Mapping and Revising Markov Logic Networks for Transfer" (PDF), Learning Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-2007), Vancouver, BC, pp. 608–614, retrieved 2007-08-05{{citation}}: CS1 maint: location missing publisher (link)

web.archive.org

West, Jeremy; Ventura, Dan; Warnick, Sean (2007). "Spring Research Presentation: A Theoretical Foundation for Inductive Transfer". Brigham Young University, College of Physical and Mathematical Sciences. Archived from the original on 2007-08-01. Retrieved 2007-08-05.

worldcat.org

search.worldcat.org

George Karimpanal, Thommen; Bouffanais, Roland (2019). "Self-organizing maps for storage and transfer of knowledge in reinforcement learning". Adaptive Behavior. 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123. S2CID 53774629.
Bird, Jordan J.; Kobylarz, Jhonatan; Faria, Diego R.; Ekart, Aniko; Ribeiro, Eduardo P. (2020). "Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG". IEEE Access. 8. Institute of Electrical and Electronics Engineers (IEEE): 54789–54801. Bibcode:2020IEEEA...854789B. doi:10.1109/access.2020.2979074. ISSN 2169-3536.

youtube.com

NIPS 2016 tutorial: "Nuts and bolts of building AI applications using Deep Learning" by Andrew Ng, 6 May 2018, archived from the original on 2021-12-19, retrieved 2019-12-28