Softmax function (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Softmax function" in English language version.

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3doi.org

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aclanthology.org

Chen, Wenlin; Grangier, David; Auli, Michael (August 2016). "Strategies for Training Large Vocabulary Neural Language Models". Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Berlin, Germany: Association for Computational Linguistics: 1975–1985. arXiv:1512.04906. doi:10.18653/v1/P16-1186. S2CID 6035643.

arxiv.org

Chen, Wenlin; Grangier, David; Auli, Michael (August 2016). "Strategies for Training Large Vocabulary Neural Language Models". Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Berlin, Germany: Association for Computational Linguistics: 1975–1985. arXiv:1512.04906. doi:10.18653/v1/P16-1186. S2CID 6035643.
Gao, Bolin; Pavel, Lacra (2017). "On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning". arXiv:1704.00805 [math.OC].
"Speeding Up Entmax" by Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov, https://arxiv.org/abs/2111.06832v3

deeplearningbook.org

Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron (2016). "6.2.2.3 Softmax Units for Multinoulli Output Distributions". Deep Learning. MIT Press. pp. 180–184. ISBN 978-0-26203561-3.

doi.org

Onal, Kezban Dilek; Zhang, Ye; Altingovde, Ismail Sengor; Rahman, Md Mustafizur; Karagoz, Pinar; Braylan, Alex; Dang, Brandon; Chang, Heng-Lu; Kim, Henna; McNamara, Quinten; Angert, Aaron (2018-06-01). "Neural information retrieval: at the end of the early years". Information Retrieval Journal. 21 (2): 111–182. doi:10.1007/s10791-017-9321-y. hdl:11245.1/008d6e8f-df13-4abf-8ae9-6ff2e17377f3. ISSN 1573-7659. S2CID 21684923.
Chen, Wenlin; Grangier, David; Auli, Michael (August 2016). "Strategies for Training Large Vocabulary Neural Language Models". Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Berlin, Germany: Association for Computational Linguistics: 1975–1985. arXiv:1512.04906. doi:10.18653/v1/P16-1186. S2CID 6035643.
Bridle, John S. (1990a). Soulié F.F.; Hérault J. (eds.). Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition. Neurocomputing: Algorithms, Architectures and Applications (1989). NATO ASI Series (Series F: Computer and Systems Sciences). Vol. 68. Berlin, Heidelberg: Springer. pp. 227–236. doi:10.1007/978-3-642-76153-9_28.

faqs.org

ai-faq What is a softmax activation function?

handle.net

hdl.handle.net

Onal, Kezban Dilek; Zhang, Ye; Altingovde, Ismail Sengor; Rahman, Md Mustafizur; Karagoz, Pinar; Braylan, Alex; Dang, Brandon; Chang, Heng-Lu; Kim, Henna; McNamara, Quinten; Angert, Aaron (2018-06-01). "Neural information retrieval: at the end of the early years". Information Retrieval Journal. 21 (2): 111–182. doi:10.1007/s10791-017-9321-y. hdl:11245.1/008d6e8f-df13-4abf-8ae9-6ff2e17377f3. ISSN 1573-7659. S2CID 21684923.

incompleteideas.net

Sutton, R. S. and Barto A. G. Reinforcement Learning: An Introduction. The MIT Press, Cambridge, MA, 1998. Softmax Action Selection

lecun.com

yann.lecun.com

LeCun, Yann; Chopra, Sumit; Hadsell, Raia; Ranzato, Marc’Aurelio; Huang, Fu Jie (2006). "A Tutorial on Energy-Based Learning" (PDF). In Gökhan Bakır; Thomas Hofmann; Bernhard Schölkopf; Alexander J. Smola; Ben Taskar; S.V.N Vishwanathan (eds.). Predicting Structured Data. Neural Information Processing series. MIT Press. ISBN 978-0-26202617-8.

medium.com

Sako, Yusaku (2018-06-02). "Is the term "softmax" driving you nuts?". Medium.

mit.edu

mitpress.mit.edu

LeCun, Yann; Chopra, Sumit; Hadsell, Raia; Ranzato, Marc’Aurelio; Huang, Fu Jie (2006). "A Tutorial on Energy-Based Learning" (PDF). In Gökhan Bakır; Thomas Hofmann; Bernhard Schölkopf; Alexander J. Smola; Ben Taskar; S.V.N Vishwanathan (eds.). Predicting Structured Data. Neural Information Processing series. MIT Press. ISBN 978-0-26202617-8.

nips.cc

papers.nips.cc

Bridle, John S. (1990b). D. S. Touretzky (ed.). Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters. Advances in Neural Information Processing Systems 2 (1989). Morgan-Kaufmann.

semanticscholar.org

api.semanticscholar.org

Onal, Kezban Dilek; Zhang, Ye; Altingovde, Ismail Sengor; Rahman, Md Mustafizur; Karagoz, Pinar; Braylan, Alex; Dang, Brandon; Chang, Heng-Lu; Kim, Henna; McNamara, Quinten; Angert, Aaron (2018-06-01). "Neural information retrieval: at the end of the early years". Information Retrieval Journal. 21 (2): 111–182. doi:10.1007/s10791-017-9321-y. hdl:11245.1/008d6e8f-df13-4abf-8ae9-6ff2e17377f3. ISSN 1573-7659. S2CID 21684923.
Chen, Wenlin; Grangier, David; Auli, Michael (August 2016). "Strategies for Training Large Vocabulary Neural Language Models". Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Berlin, Germany: Association for Computational Linguistics: 1975–1985. arXiv:1512.04906. doi:10.18653/v1/P16-1186. S2CID 6035643.

stanford.edu

ufldl.stanford.edu

"Unsupervised Feature Learning and Deep Learning Tutorial". ufldl.stanford.edu. Retrieved 2024-03-25.

umontreal.ca

iro.umontreal.ca

Morin, Frederic; Bengio, Yoshua (2005-01-06). "Hierarchical Probabilistic Neural Network Language Model" (PDF). International Workshop on Artificial Intelligence and Statistics. PMLR: 246–252.

worldcat.org

Onal, Kezban Dilek; Zhang, Ye; Altingovde, Ismail Sengor; Rahman, Md Mustafizur; Karagoz, Pinar; Braylan, Alex; Dang, Brandon; Chang, Heng-Lu; Kim, Henna; McNamara, Quinten; Angert, Aaron (2018-06-01). "Neural information retrieval: at the end of the early years". Information Retrieval Journal. 21 (2): 111–182. doi:10.1007/s10791-017-9321-y. hdl:11245.1/008d6e8f-df13-4abf-8ae9-6ff2e17377f3. ISSN 1573-7659. S2CID 21684923.