"Semi-Supervised Learning and Domain Adaptation in Natural Language Processing"

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Book	Author(s)	Year	Publisher
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Søgaard		Springer International Publishing
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Sogaard	2013	Morgan & Claypool Publishers
Semi-Supervised Learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2006	MIT Press
Semi-Supervised Learning	Olivier Chapelle; Bernhard Scholkopf; Alexander Zien	2006	The MIT Press
Semi-supervised learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2010	MIT Press
Introduction to Semi-Supervised Learning	Xiaojin Zhu; Andrew. B Goldberg		Springer International Publishing
Graph-Based Semi-Supervised Learning	Amarnag Subramanya; Partha Pratim Talukdar		Springer International Publishing
Introduction to semi-supervised learning	Zhu X., Goldberg A.B	2009	Morgan
Graph-Based Semi-Supervised Learning	Amarnag Subramanya, Partha Pratim Talukdar	2014	Morgan & Claypool Publishers
Deep Learning in Natural Language Processing	Li Deng; Yang Liu	1st ed. 2018	Springer Nature Singapore
Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing	Jalaj Thanaki	2017	Packt Publishing
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies	Amparo Albalate	2011	John Wiley & Sons
Representation Learning for Natural Language Processing	Zhiyuan Liu; Yankai Lin; Maosong Sun	1st ed. 2020	Springer Nature Singapore
Deep Learning for Natural Language Processing	Stephan Raaijmakers
Transfer Learning for Natural Language Processing	Paul Azunre	2021	Manning Publications
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing	Taweh Beysolow II	1st ed.	Apress
Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning	Te-Ming Huang; Vojislav Kecman; Ivica Kopriva	2006	Springer Berlin Heidelberg
Domain Adaptation in Computer Vision with Deep Learning	Hemanth Venkateswara; Sethuraman Panchanathan	1st ed. 2020	Springer International Publishing
Visual Domain Adaptation in the Deep Learning Era	Gabriela Csurka; Timothy M. Hospedales; Mathieu Salzmann; Tatiana Tommasi		Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Supervised domain adaptation		Natural Language Processing	Jacob Eisenstein	2018	MIT Press, and are posted here under the Creative Commons license CC-BY-NC-ND
Knowledge Distillation for Semi-supervised Domain Adaptation	Mauricio Orbes-Arteainst; Jorge Cardoso; Lauge Sørensen; Christian Igel; Sebastien Ourselin; Marc Modat et al.	OR 2. 0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging: Second International Workshop, OR 2. 0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings	Luping Zhou; Duygu Sarikaya; Seyed Mostafa Kia; Stefanie Speidel; Anand Malpani; Daniel Hashimoto; Mohamad Habes; Tommy Löfstedt; Kerstin Ritter; Hongzhi Wang	1st ed. 2019	Springer International Publishing
A Novel Metric Learning Framework for Semi-supervised Domain Adaptation	Rakesh Kumar Sanodiya; Chinmay Sharma; Sai Satwik; Aravind Challa; Sathwik Rao; Leehter Yao	Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I	Teddy Mantoro; Minho Lee; Media Anugerah Ayu; Kok Wai Wong; Achmad Nizar Hidayanto	1st ed. 2021	Springer International Publishing
When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport	Mourad El Hamri; Younès Bennani; Issam Falih	Artificial Intelligence Applications and Innovations: 18th IFIP WG 12. 5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Part I	Ilias Maglogiannis; Lazaros Iliadis; John Macintyre; Paulo Cortez	1st ed. 2022	Springer International Publishing
Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation	Da Li; Timothy Hospedales	Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVI	Andrea Vedaldi; Horst Bischof; Thomas Brox; Jan-Michael Frahm	1st ed. 2020	Springer International Publishing
Semi-supervised Learning	Mohamed Farouk Abdel Hady; Friedhelm Schwenker	Handbook on Neural Information Processing	Monica Bianchini; Marco Maggini; Lakhmi C. Jain	2013	Springer Berlin Heidelberg
Semi-supervised Learning	Xiaojin Zhu	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Semi-supervised Learning		Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Semi-Supervised Learning	Massih-Reza Amini; Nicolas Usunier	Learning with Partially Labeled and Interdependent Data	Massih-Reza Amini; Nicolas Usunier	2015	Springer International Publishing
Semi-supervised Learning	Peter Wlodarczak	Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Semi-Supervised Learning	Kaushik Sinha	Data Classification: Algorithms and Applications	Charu C. Aggarwal	2014	Routledge
Semi-supervised Learning	Avrim Blum	Encyclopedia of Algorithms	Ming-Yang Kao	2nd ed. 2016	Springer New York
Semi-Supervised Learning	Xiaojin Zhu	Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Semi-Supervised Learning	Sugato Basu	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Semi-Supervised Learning	Anders Søgaard	Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Søgaard		Springer International Publishing
Semi-Supervised Learning	Uday Shankar Shanthamallu; Andreas Spanias	Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu; Andreas Spanias		Springer International Publishing
Semi-supervised Learning	Avrim Blum	Encyclopedia of Algorithms	Ming-Yang Kao	0th ed. 2020	Springer Berlin Heidelberg
Semi-Supervised Learning		Deep Learning and Its Applications	Arvind Kumar Tiwari	2021	Nova Science Publishers
Semi-Supervised Learning		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Semi-Supervised Learning		Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Sogaard	2013	Morgan & Claypool Publishers
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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